1316 results about "State observer" patented technology

A method and apparatus provide a state observer control system 600 for a motor 106 that uses an extended Kalman filter 330 to predict initial rotor position and afterwards accurately predict rotor position and / or speed under variable types of loading conditions. A control system model 300 is generated that allows variable setting of an initial rotor position to generate estimated rotor position and speed as outputs. The control system model 300 includes an EKF (extended Kalman filter) estimator 330, speed controller 322, a current controller 324, and a variable load component 310. During operation, EKF estimator 330 estimates rotor speed 327 and position 333 based on reference voltages 402, 404 and currents 1325 generated by speed and current controllers 322, 324 and input from frame transformers 326, 328. Additionally, the reference currents and voltages 402, 404, 1325 are frame-transformed to be used as feedback signals 418, 346 in the system 600 and as drive signals to control power to be applied to a motor load 602.

A method and system for combining a feedback control and a feedforward control in a linear MPC to minimize effect of model uncertainty. An externally computed feedforward signal, which is more accurate and reliable, can be utilized in association with the MPC, A steady state relation between system parameters can be determined in order to compute the feedforward signal for a set of actuators associated with a non-linear system. A feedback MPC controller can then be designed. A state observer can be configured as an unknown input observer to estimate the effect of the feedforward signal. A strategy for manipulating the constraints of the MPC feedback signal can be implemented. A resulting control action for the actuators can be provided as a sum of corresponding feedback and feedforward signal while ensuring the constraints satisfaction.

The invention relates to a quadrotor unmanned plane control method based on a fuzzy expansion state observer and an adaptive sliding formwork. The method comprises steps that a quadrotor unmanned plane system model is established, and a system state and controller parameters are initiated; a tracking differentiator is designed; a non-linear expansion state observer is designed; fuzzy rules are established; a parameter adaptive law is designed; an adaptive sliding formwork controller is designed. According to the method, the expansion state observer is designed to estimate indetermination of a system model and external disturbance; a pole assignment method is utilized to determine an initial value of an expansion state observer parameter; the fuzzy rules are introduced to realize online setting for the expansion state observer parameter; the parameter adaptive law is designed to acquire ideal controller gain; the adaptive sliding formwork controller is designed, rapid stabilization of a system tracking error and convergence to a zero point are guaranteed, and rapid and stable position tracking and pose adjustment of the quadrotor unmanned plane are realized. The method is advantaged in that system performance is improved, and rapid and stable system position tracking and pose adjustment are realized.

The invention discloses a method for controlling a PMSM (permanent magnet synchronous motor) servo system based on friction and disturbance compensation. In the method, a feedforward compensation method based on a friction model is combined with an auto disturbance rejection technology and the feedforward compensation method is complementary with the auto disturbance rejection technology mutually. In the method, a Stribeck friction model is utilized to carry out modeling on system frictions, a GA (genetic algorithm) is adopted to carry out offline identification on parameters, and an estimated value generated by an identification model carries out feedforward compensation; a state observer in the auto disturbance rejection technology observes and compensates overcompensation or undercompensation of the frictions as well as nondeterminacy and external disturbance caused by modeling errors in the system; and finally a differential tracker and a nonlinear control law are used to arrange a transient process for fixed position signals, thus solving the conflict between rapidity and overstrike and ensuring stability of the system and finite time convergence. By using the combined control, the compensation capacity of the system for the frictional nonlinearity can be improved effectively, the low-speed performance of the system is improved, and the tracking accuracy and the anti-disturbance capacity of the system are enhanced.

The invention relates to a power battery management system of an electric automobile. In order to improve the estimating precision, the invention provides a method for estimating a charge state of a power battery of the electric automobile. The method comprises the following steps: acquiring the terminal voltage, the charging and discharging current and the battery surface temperature of the power battery; according to a corresponding relationship between the open-circuit voltage and the state of charge of the power battery, analyzing to obtain an open-circuit voltage model, and according to an input matrix, a parameter matrix and an output matrix of a dynamic voltage system of the power battery, establishing a dynamic voltage model of the dynamic voltage system; updating time and measurement of a state observer to obtain priori estimated values and posteriori estimated values of a system state as well as a covariance matrix of a system state estimating error at a time point k, and circulating the updating operation till the end of estimation to obtain the state of charge (SoC) of the power battery. By the method, the estimating precision of the SoC can be improved to be within 5%, and when a set value of the SoC of the power battery is deviated from a reference value of the SoC of the power battery, the SoC is rapidly converged to the reference value.

The invention discloses a sensorless control system of a permanent magnet synchronous motor. The sensorless control system comprises a flux linkage / current state observer and a counter electromotive force measurement module, wherein the flux linkage / current state observer is a sliding mode observer; the sliding mode observer is controlled by a sliding mode variable structure; and the coordinate system of the sliding mode observer is an estimated rotary coordinate system, is rotated at an angular speed and lags behind an electrical angle of the coordinate system. In a control parameter computation module, the error of a rotor position is calculated. The sensorless control system of the permanent magnet synchronous motor, can be used on a low-speed observation occasion and a height observation occasion at the same time and has strong practicability.

The invention relate to a method to provide health monitoring to a system, a method for monitoring the system health and a system for monitoring the health of an object. Controller scaling and parameterization are described. Techniques that can be improved by employing the scaling and parameterization include, but are not limited to, controller design, tuning and optimization. The scaling and parameterization methods described here apply to transfer function based controllers, including PID controllers. The parameterization methods also apply to state feedback and state observer based controllers, as well as linear active disturbance rejection (ADRC) controllers. Parameterization simplifies the use of ADRC. A discrete extended state observer (DESO) and a generalized extended state observer (GESO) are described. They improve the performance of the ESO and therefore ADRC. A tracking control algorithm is also described that improves the performance of the ADRC controller. A general algorithm is described for applying ADRC to multi-input multi-output systems.

The invention discloses a structure and a design method of an improved active-disturbance-rejection position controller for a direct current (DC) motor; the DC motor is taken as a controlled object, and an output position signal is taken as a controlled variable; the controller mainly consists of four parts, i.e., a tracking differentiator, a nonlinear state error feedback part, an extended state observer and a disturbance compensation part. The improved active-disturbance-rejection position controller is mainly used to improve a fal function in a nonlinear function in the extended state observer, and the fal function is used to determine the tracking performance of the extended state observer and the controller; the concrete improvement measure is adding a linear feedback area into non-linear feedback; therefore, the problem that in the traditional method, timely control cannot be realized when the system error is too large and the gain is too low can be solved on the basis of guaranteeing system stability. By comparing simulation lines obtained before and after the improvement for the controller, the structure and the design method which are provided by the invention are proved to accelerate the output signal response speed under the condition that the position error of the DC motor is larger, thus improving the integral control performance of a system.

The invention provides a motor servo system jitter-free sliding mode position control method based on disturbance compensation. According to the method, the nonlinear friction characteristic, external disturbance and other modeling uncertainty of a system are considered, continuous and smooth friction compensation is made for nonlinear friction, and the low-speed servo performance of the motor position servo system is further improved; uncertainty such as non-modeling disturbance is estimated through an extended state observer, feedforward compensation is made when a controller is designed, and the robustness of the actual motor position servo system to external disturbance is improved; jitter and singularity will not be caused to voltage output of the designed terminal sliding mode controller, the controller can guarantee that the state of the system tends to be balanced in a limited time, and the tracking performance of the system is greatly improved; the designed terminal sliding mode controller is simple, has certain robustness to system parameter variation and is more favorable for being applied to engineering practice.

A system and method for detecting input phase loss in an adjustable speed drive (ASD) includes an input unit to detect operating data from the ASD. The operating data includes a DC link current of the ASD. The system also includes a state observer that is adapted to receive the operating data from the input unit and extract a DC link capacitor current of the ASD using the DC link current. The system also includes a controller programmed to compare the extracted DC link capacitor current to a predetermined fault range and generate a fault indication of an input phase loss if the extracted DC link capacitor current is within the predefined fault range. The controller is also programmed to calculate an estimated lifespan of the DC link capacitor based on the extracted DC link capacitor current.

The invention discloses a robot compliance control method based on a contact force observer. The robot compliance control method belongs to the field of robot control, does not adopt a force sensor for measuring a contact force of a robot and the environment, but adopts a model for estimating magnitude of the force according to a motion state, and realizes compliance control of the robot by adopting a position-based impedance controller. The robot compliance control method comprises the steps of: acquiring joint angular velocity information by means of an encoder, and estimating an angle, an angular velocity and angular velocity information by means of a state observer; calculating a joint effective driving moment by means of a disturbance observer according to motor current information and joint state information; calculating a joint driving moment required by driving a mechanism to move through adopting a kinetic model according to a joint motion state; and subtracting the driving moment obtained through calculation by adopting the kinetic model from the effective driving moment to obtain a joint driving moment caused by the action of an external force, and mapping the joint driving moment by means of Jacobian matrix to obtain an environmental contact force. The robot compliance control method based on the contact force observer has the advantage that an expensive and easily-damaged multi-dimensional force sensor does not need to be installed.

The invention relates to a method for controlling an attitude of an aircraft based on L1 adaptive control, and belongs to the technical field of automatic unmanned aircraft attitude control. The method comprises the following steps of: inputting a control signal u(t) of a system into a state observer to acquire an aircraft state estimated value, taking the aircraft state estimated value as the input of an adaptive law to acquire the uncertainty of the system and an estimated value of external disturbance, inputting a set reference signal r(t) into an adaptive control law to acquire a system adaptive control law, inputting the system adaptive control law into a low-pass filter to acquire a control signal u2(t), superposing the control signal u2(t) with a linear state feedback control law u1(t), inputting the control signal u2(t) into the state observer, applying the control signal u2(t) to a controlled object, feeding an actual attitude value x(t) back to the adaptive law, the adaptive control law and the state observer by the controlled object, and thus forming an L1 adaptive closed-loop control system. Aircraft attitude L1 adaptive control established by the method is high in robustness and good in stabilizing and adjusting effects on aircraft attitude systems with nonlinearity, coupling disturbance and environmental disturbance.

The invention relates to an electric power steering device (EPS device) and a control method for the electric power steering device, comprising a torque sensor, a vehicle speed sensor, a current sensor, an electronic control unit (ECU), a power motor and a reducing mechanism; the electric power steering device also comprises a wheel static controller which consists of a transverse swing angular speed instruction generator, a state observer, a torque distribution controller and a tyre sliding controller. The EPS device and the control arithmetic of the EPS device compensate the problems of insufficient steering or over-steering due to the road surface or vehicle conditions, ensure the precise steering of the electric power system, ensure the normal steering of the automobile when the steering power system is failed and the steering power function can not be maintained by the EPS device, and have an guarantee failure safety control function. The control method of the invention adjusts the torque of all wheels under the situation of failure of the existing EPS system or insufficient steering and over-steering, forms the vehicle steering moment, ensures the completion of the steering action, completes the EPS failure safety control, and avoids the happening of the traffic accidents. The EPS device and the control method for the EPS device have the advantages of quick operation, reliable operation, low cost, etc.

A method and apparatus provide a state observer control system 600 for a motor 106 that uses an extended Kalman filter 330 to predict initial rotor position and afterwards accurately predict rotor position and / or speed under variable types of loading conditions. A control system model 300 is generated that allows variable setting of an initial rotor position to generate estimated rotor position and speed as outputs. The control system model 300 includes an EKF (extended Kalman filter) estimator 330, speed controller 322, a current controller 324, and a variable load component 310. During operation, EKF estimator 330 estimates rotor speed 327 and position 333 based on reference voltages 402, 404 and currents 1325 generated by speed and current controllers 322, 324 and input from frame transformers 326, 328. Additionally, the reference currents and voltages 402, 404, 1325 are frame-transformed to be used as feedback signals 418, 346 in the system 600 and as drive signals to control power to be applied to a motor load 602.

The invention relates to a method for controlling an index time-varying slide mode of flexible spacecraft characteristic shaft attitude maneuver, and belongs to the technical field of spacecraft control. The method comprises the steps that firstly, a system dynamically equivalent model, a dynamic model and a flexible vibration model are established under a spacecraft system, then, the vibration frequency and the damping ratio parameter of a closed loop system with the index time-varying slide mode control law are calculated, and a single-shaft multi-modality filtering input shaping device with a characteristic shaft as a rotary shaft is designed according to the designing method of the single-shaft input shaping device to restrain flexible vibration in three-shaft motion. Meanwhile, a state observer is designed to estimate flexible modal information in real time, and the method for controlling an output feedback index time-varying slide mode is formed. At last, saturability analysis is conducted on control torque so as to satisfy the physical saturation constraint of the control torque. By means of the method, the application range of existing input shaping is expanded, the input shaping technology is expanded from single-shaft maneuver to three-shaft maneuver, the self-robustness of filter input shaping is enhanced, and the purpose that the attitude maneuver path of the spacecraft is the shortest is achieved.

The invention relates to an active-disturbance-rejection trajectory linearization control method suitable for hypersonic velocity maneuvering flight. The active-disturbance-rejection trajectory linearization control method regards a part different from a nominal model as a general disturbance, establishes a hypersonic aircraft attitude and angular velocity dynamic model with multi-source complex uncertainty and strict feedback form, designs attitude ring and angular velocity ring model auxiliary expansion state observers, adopts a non-linear tracking differentiator to arrange a transition process for a given guidance command and generate a nominal command of an attitude ring, designs an active-disturbance-rejection trajectory linearization attitude ring controller containing a feedforward tracking control law, a feedback stabilization control and a disturbance compensation term, and designs an active-disturbance-rejection trajectory linearization angular velocity ring controller containing a feedforward tracking control law, a feedback stabilization control and a disturbance compensation term. The active-disturbance-rejection trajectory linearization control method achieves high-precision anti-disturbance control under the given conditions of large-margin guidance command and control constraint, and has high adaptability for multi-source disturbance large-scale perturbation in hypersonic velocity long-span maneuvering flight.

The invention discloses a method for controlling output feedback of a motor position servo system. The method comprises the following steps that a mathematic model of the motor position servo system is established; an extended state observer is designed, and the state of the system and interference in the mathematic model are observed; a second-order low-pass filter is designed so that an error system of the motor position servo system can be established, and an output feedback controller is designed according to the error system; stability certification is conducted on the motor position servo system according to the Lyapunov stability theory, and a result of the global asymptotic stability of the system is obtained according to the Barbalat lemma. According to the method for controlling output feedback of the motor position servo system, considering uncertainty such as external interference, the extended state observer conducts estimation, compensation is conducted during design of a controller, and therefore the robustness of the actual motor position servo system to external interference is improved; in this way, the problems of a high-frequency dynamic condition, measurement noise and the like caused by high-gain feedback are greatly relieved, so that the shadowing property of the system is improved, and the motor position servo system can be applied to practical engineering more conveniently.

The invention discloses an ADRAC (active-disturbance-rejection adaptive control) method for a hydraulic motor position servo system. The control method is based on an LESO (linear extended state observer) and an ARC (adaptive robust control) method, and is obtained through mutually combining the LESO and the ARC method by a feedforward cancellation method. The control method has the advantages that the LESO is used for estimating the nonlinear uncertainty of the system, in addition, the compensation is carried out in the control design, meanwhile, the parameter uncertainty of an adaptive control processing system is adopted for improving the precision of the controller module compensation, and good tracking performance is obtained.

The invention provides an output feedback control method for an asymmetric servo cylinder positional servo system. The method includes the steps: step one, establishing an asymmetric servo cylinder positional servo system model; step two, on the basis of the established servo system model, designing a high-precision asymmetric servo cylinder controller based on an extended state observer; step three, adjusting control law parameters to enable the system to meet control performance indexes. The output feedback control method for the asymmetric servo cylinder positional servo system has the advantages that aiming at characteristics of a valve-controlled asymmetric servo cylinder positional servo system, the valve-controlled asymmetric servo cylinder positional servo system model is established, the high-precision asymmetric servo cylinder controller based on the extended state observer is designed, and consequently system unknown states and unmodeled matching interference can be estimated and compensated in real time, and the problems of matching interference and unknown states of the valve-controlled asymmetric servo cylinder positional servo system can be effectively solved. In addition, design of the controller is simplified, and simulation results show effectiveness of the method.

The invention discloses a comprehensive energy cluster coordination control method for improving the stability of a power grid. The method comprises: an anti-interference state observation method forimproving system stability, a measurement-correlation-prediction MCP modeling and evaluation method, a source network load comprehensive energy cluster coordination rapid response anti-interference control method and an optimization simulation platform, and a multi-benefit subject optimization operation and transaction risk hedging strategy based on dynamic game. According to the invention, basedon complex system theoretical analysis, a universal anti-interference state observer with engineering use value and an MCP modeling evaluation method are provided, the method can be used for a multi-time-scale cold / heat / electricity comprehensive energy coupling system in county urban and rural overall planning areas, a multi-energy power generation coordination optimization control method based oncloud interaction and an energy transaction simulation technology oriented to cluster benefit optimization can be provided for wide-area multi-energy power generation clusters such as photovoltaic / wind power / thermal power generation / gas turbines and the like, and a matched edge computing sensor and an intelligent controller are developed.

The present invention provides an accurate track tracking control method based on a finite time expansion state observer. The method comprises the following steps of: establishing a mathematical modeland a kinematic equation representing current unmanned ship motion features, designing a combined nonsingular rapid terminal sliding-mode control law according to the unmanned surface ship motion tracking errors and a nonsingular rapid terminal sliding-mode surface, designing a finite time expansion state observer according to the unmanned ship motion features, and designing an accurate track tracking control law according to the combined nonsingular rapid terminal sliding-mode control law and the finite time expansion state observer. Through design of the finite time expansion state observer, the lump interference comprising external interference and a complex nonlinear term can be observed by the finite time to a small enough range to avoid the limitation of the approximation observation. Through the designed combined nonsingular rapid terminal sliding-mode control law and the nonsingular rapid terminal sliding-mode unmanned ship track tracking controller, the accurate track tracking control method achieves the accurate track tracking control performance in a complex external interference.

A method of stably controlling the temperature of a sample placed on a sample stage to a desired temperature by estimating a sample temperature accurately, the sample stage including a refrigerant flow path to cool the sample stage, a heater to heat the sample stage, and a temperature sensor to measure the temperature of the sample stage. This method comprises the steps of: measuring in advance the variation-with-time of supply electric power to the heater, temperature of the sample, and temperature of the temperature sensor, without plasma processing; approximating the relation among the measured values using a simultaneous linear differential equation; estimating a sample temperature from the variation-with-time of sensor temperature y1, heater electric power u1, and plasma heat input by means of the Luenberger's states observer based on the simultaneous linear differential equation used for the approximation; and performing a feedback control of sample temperature using the estimated sample temperature.

The invention relates to a control method for predicting an air supply system model of a fuel cell and belongs to the technical field of control. The invention aims to provide the control method for predicting the air supply system model of the fuel cell to achieve steady operation of the system by adjusting the peroxy ratio of a proton exchange membrane fuel cell to avoid air hunger. The method comprises the following steps: S1, establishing an air supply system dynamic model of the fuel cell for high precision control; S2, determining a preoxy reference value of the proton exchange membranefuel cell system; S3, evaluating the internal pressure value of a cathode and system disturbance by adopting an expanding state observer; and S4, designing a peroxy ratio controller of the proton exchange membrane fuel cell system. By adjusting the output evaluation error in real time by using the expanding state observer and retraining the output error to zero within an infinite time, the pressure of a cathode pipeline which cannot be measured is evaluated accurately.

The invention relates to the field of fault detection of power electronic and flexible HVDC (high voltage direct current), discloses a state observer-based detection method of an open-circuit fault of an IGBT (insulated gate bipolar transistor) of an MMC (modular multilevel converter) and aims to quickly diagnose reason and position of the open-circuit fault of the IGBT of the MMC. The state observer-based detection method includes as an error of an estimation value and a test value of bridge arm circulation excesses a threshold value for the moment of DeltaT1, judging that the fault occurs; comparing estimation values and actual values of the bridge arm current and output current and judging the bridge arm which the fault occurs to and fault type; monitoring voltage of capacitors of submodules, and in case that the voltage of the capacitor of one submodule is higher than the voltage threshold value for the moment of DeltaT2, judging that the fault occurs to the corresponding IGBT of the submodule. In this way, the state observer is provided for the output current and circulation of the MMC, and the submodule which the fault occurs is accurately positioned.

The invention relates to a thermal power generating unit reheated steam temperature controlling method. According to the operating characteristics of the boiler reheater and the theoretic study on a steam-temperature control system, a state feedback control method based on incremental state observer is adopted, and the concept of an algebraically equivalence observer is used to direct the parameter setting of an incremental state observer; in addition, a special control circuit is arranged in the steam-temperature control circuit to resolve the problems that the process of steam-temperature adjustment is relatively long when the reheated steam temperature set value is changed, non-linearity exists during steam-temperature control, the process of steam-temperature variation is very slow, etc., and variation parameter PID regulator is combined to jointly form a comprehensive reheated temperature automatic adjusting system. The invention is capable to ensure reheated steam temperature control to escape spray water upon large-range load variation, and effectively overcomes the disadvantage of the poor effect of the traditional PID regulation on the control of big lagged object; the reheated temperature control effect is improved remarkably; and a sample is provided for controlling the controlled object with big inertia and serious lagging in relation to reheated steam temperature.

A vehicle stability control system diagnostic strategy, wherein the diagnostic strategy may be adaptively applied based upon the identified maneuver states of the vehicle. The diagnostic architecture contains three vehicle state observers (i.e., models) each based on inputs from only two of the three sensors (yaw rate, lateral acceleration and hand wheel angle). More particularly, the first observer does not consider lateral acceleration input. The second observer does not consider yaw rate sensor input and the third does not consider hand wheel angle (HWA) sensor input in determining the vehicle state. However, estimated vehicle speed input is used by all the observers. For example, the first observer detects a maneuver state based on yaw rate and HWA and vehicle speed inputs. Then it diagnoses the lateral acceleration sensor failure based on the observer output. The diagnostics are based on vehicle dynamics correlations that hold in steady state linear range conditions. Similarly, the other two observers detect maneuver state and diagnose the respective signals. Advantageous variants include the use of a proactive sensor diagnostics strategy that provides increased coverage during steady state linear range maneuvers while simultaneously detecting faults within the required fault response time.

The invention discloses a satellite attitude control system failure diagnosis device based on a state observer and an equivalent space and a satellite attitude control system failure diagnosis method based on the state observer and the equivalent space, which belong to the field of aerospace and aim to solve the problems of high hardware complexity, low control accuracy and low failure diagnosis algorithm effectiveness of the conventional failure diagnosis method. The method provided by the invention comprises the following steps that: 1, a failure diagnosis observer outputs a satellite triaxial angular rate residual according to output signals of an actuator and a gyro sensor; 2, an equivalent vector space description module constructs equivalent space descriptions of the gyro sensor according to the output signal of the gyro sensor, wherein an output equivalent vector p is used for judging whether the gyro sensor fails or not; and 3, a failure diagnosis and isolation module outputs a failure separation result indicating that the actuator or the gyro sensor fails according to the satellite triaxial angular rate residual obtained by the step 1 and the equivalent vector p obtained by the step 2, and further judges which axis of the failing part fails.

The invention discloses a distributed multi-mobile-robot formation control method based on ESO, comprising steps of 1) performing modeling on a multi-mobile-robot to obtain a distributed discrete state space deviation model of a multi-mobile-robot, 2) designing a performance index according to the distributed discrete state space deviation model of the multi-mobile-robot and calculating a prediction control quantity of the subsystem, 3) designing an extension state observer of the mobile robot to obtain a disturbance estimation value of the mobile robot, and 4) utilizing the obtained disturbance estimation value to design a combination controller based on the extension state observer. The invention provides a distributed multi-mobile-robot formation control method which is simple and easy to implement, and has a good anti-interference capability.

The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

Input-output linearization (IOL) and extended state observer (ESO) techniques are applied to a Field Oriented Control (FOC) for Permanent Magnet Synchronous Motors (PMSM). In one such approach, at least one gain value is determined based at least in part on a given bandwidth value. Operating parameters for the motor are determined based on the at least one gain value and information from a current sensor regarding motor current. Control signals used to the control the motor are determined based on the determined operating parameters. Accordingly, automated control can be effected through setting a bandwidth value through the implementation of IOL and ESO techniques.