74 results about "Nonsingular terminal sliding mode" patented technology

The invention provides a sight line based finite time convergence active defense guidance control method, relates to a guidance control method, in particular to an active defense guidance control method, and aims at solving the problem that a defensive missile is limited in overload capacity. The sight line based finite time convergence active defense guidance control method comprises the steps of firstly modeling relative motions of a target, the defensive missile and an intercept missile, adopting a sight line guidance mode to design a guidance rule for the defensive missile, then adopting a nonsingular terminal sliding mode to control the designed guidance rule, respectively defining sliding mode variables (shown in the description) of a longitudinal plane and a lateral plane, performing derivation on the sliding mode variables, substituting relative motion equations of the target, the defensive missile and the intercept missile into the variables and obtaining the guidance rule (shown in the description) of the longitudinal plane and the guidance rule (shown in the description) of the lateral plane through compilation, and controlling the missiles according to the guidance rules. By means of the sight line based finite time convergence active defense guidance control method, overload needed by the defensive missile can be effectively reduced. The sight line based finite time convergence active defense guidance control method is suitable for active defense guidance control.

The invention discloses a permanent magnet synchronous motor control method in which a vector control system is used. The vector control system comprises an outer speed ring and an inner current ring, and a PI (proportional-integral) controller of a rotating speed ring is replaced with a two-DOF (degree of freedom) higher-order nonsingular terminal sliding mode controller; the input of the two-DOF higher-order nonsingular terminal sliding mode controller is the difference between the given rotating speed w* of a motor and the actual feedback rotating speed w* of the motor; the error between the given rotating speed and the feedback rotating speed is judged, when the error of the rotating speed is less than Xi, an output exciting current iq* is calculated by a simple higher-order nonsingular terminal sliding mode controller; when the error of the rotating speed is greater than Xi, the output of the two-DOF higher-order nonsingular terminal sliding mode controller is an output iq* controlled by a higher-order nonsingular terminal sliding mode and the sum of the output and compensation gain of the higher-order nonsingular terminal sliding mode; and the size of Xi can be set according to actual situations and needs. According to the method, the system control accuracy is improved and the rapid convergence of the rotating speed of the motor is realized; and the method has strong robustness on load disturbances.

The invention discloses an attitude controller for a quadrotor unmanned aerial vehicle with dynamic characteristics being unknown and a method. It is assumed that quadrotor unmanned aerial vehicle model parameters such as the moment of inertia and the air damping coefficient are unknown, and bounded disturbance suffered by the system is time-varying and always exists in the system. In allusion to the unknown model parameters, the invention designs a corresponding differential estimator to perform online estimation on a position parameter. Based on a parameter estimation value, an improved adaptive nonsingular terminal sliding mode controller is designed to complete stable control for the attitude of the quadrotor unmanned aerial vehicle. In addition, an adaptive disturbance compensator is further designed to perform effective compensation on the bounded disturbance. Simulation and experimental results show that the control algorithm can well accomplish stable control for the attitude of the quadrotor unmanned aerial vehicle and has high robustness for the unknown dynamic characteristics and disturbance of the system.

The invention discloses a mechanical arm trajectory tracking method based on a fractional-order adaptive nonsingular terminal sliding mode. By designing switching control of uncertainty upper bound adaptive rate and the fractional-order adaptive nonsingular terminal sliding mode, the system state is allowed to converge to a sliding mode surface faster; and through sliding mode features of the nonsingular terminal sliding mode surface, the system state is allowed to converge to a balance point faster in a limited time, that is, tracking error is converged to 0, thereby realizing tracking of expected joint angle trajectory.

The invention relates to a fixed time cooperative tracking control method of a second-order nonlinear multi-agent system, which comprises the steps of: designing a fixed time convergence nonsingular terminal sliding mode surface; designing an RBF neural network approximation system dynamics nonlinear term; designing a multi-agent system fixed time cooperative tracking controller; and enabling thedesigned controller to act on the system to realize the control of a multi-agent system for cooperatively tracking a target agent within fixed time. The fixed time cooperative tracking control methodhas strong robustness to external disturbance, has strong adaptability to unknown nonlinearity of a model, and can ensure the convergence of the system within fixed time, and enables the convergence time to be irrelevant to the initial state of the system. The fixed time cooperative tracking control method has wide application range and can be applied to systems with high requirement on convergence time.

The invention discloses a self-adaption fuzzy neural compensating nonsingular terminal sliding mode control method of a micro gyroscope. The method mainly involves a nonsingular terminal sliding mode controller and a fuzzy neural network compensating controller; the designed nonsingular terminal sliding mode enables that a system can reach a sliding mode surface and a balance point within a limited time from any initial state, and therefore, the convergence rate and steady stacking precision of the system are improved; meanwhile, the fuzzy neural network compensates the parametric modeling error of the micro gyroscope and outside disturbance effect on line, in order to improve the tracking performance; the fuzzy neural network is practiced on line, the self-adaption learning algorithm of weight of the fuzzy neural is on the basis of the lyapunov stability theorem, which ensures the tracking performance and the stability of the whole control system. The simulation result shows that the method is able to improve the problem of trace tracking of the micro gyroscope and can also effectively inhibit the parameter uncertainty and the influence from the outside disturbance, and as a result, the robust tracking can be realized.

A four-rotor unmanned plane finite time self-adaptive control method based on a nonsingular terminal sliding mode is provided; the method aims at a four-rotor unmanned plane system with inertia uncertainty factors and external turbulences; according to the four-rotor unmanned plane dynamic system, a nonsingular terminal sliding mode control method is employed, and self-adaptive control is combined, thus designing the four-rotor unmanned plane finite time self-adaptive control method based on the nonsingular terminal sliding mode; the nonsingular terminal sliding mode is designed so as to ensure the system finite time convergence features, thus preventing singularity problems existing in terminal sliding mode control, and effectively weakening jittering problems; in addition, the self-adaptive control is used for processing system inertia uncertainty factors and external turbulences; the method can remove the sliding mode surface singularity problems, and can effectively prevent and compensate the system inertia uncertainty factors and external turbulences, thus ensuring the system finite time convergence features.

Disclosed is a finite time synchronous control method of double permanent magnet synchronous motor chaotic systems. The method includes that a chaotic model of a permanent magnet synchronous motor system is established, and system state and relevant control parameters are initialized; at every sampling instant, synchronous errors, rapid nonsingular terminal sliding mode surfaces and first-order derivatives of principal and subordinate chaotic systems of a permanent magnet synchronous motor are calculated; according to the synchronous errors, the rapid nonsingular terminal sliding mode surfaces and the first-order derivatives, a synchronous controller of the double permanent magnet synchronous motor chaotic systems is designed, the problem of buffeting during sliding-mode control can be solved, and chaotic states of the principal and subordinate chaotic systems can be rapidly synchronized.

A four-rotor unmanned plane finite time self-adaptive control method based on a fast nonsingular terminal sliding mode is provided; the method aims at a four-rotor unmanned plane system with inertia uncertainty factors and external turbulences; according to the four-rotor unmanned plane dynamic system, a fast nonsingular terminal sliding mode control method is employed, and self-adaptive control is combined, thus designing the four-rotor unmanned plane finite time self-adaptive control method based on the fast nonsingular terminal sliding mode; the fast nonsingular terminal sliding mode is designed so as to ensure the system finite time convergence features and fast convergence speed, thus preventing singularity problems existing in terminal sliding mode control, and effectively weakening jittering problems; in addition, the self-adaptive control is used for processing system inertia uncertainty factors and external turbulences; the method can remove the sliding mode surface singularity problems, and can effectively prevent and compensate the system inertia uncertainty factors and external turbulences, thus ensuring the system finite time convergence features.

The invention relates to a method for controlling a tracking error to be converged in fixed time, and belongs to the technical field of controlling. The method comprises the steps as follows: a dynamic model of a second-order uncertain system is established; a time-varying sliding mode function and a nonsingular terminal sliding mode function are designed, and a time-varying sliding mode controlled quantity and a nonsingular terminal sliding mode controlled quantity are obtained through respective solving and input into an established system model, so that the error is converged to 0 at the expected moment; and a nonsingular terminal sliding mode control technology is combined to design the controlled quantity, thus, the error in remaining time is kept 0. With the adoption of the method, the expected error convergence time can be set in advance, the system state is always maintained in the sliding mode, and the controlled system has overall robustness on parameter uncertainty and external disturbance.

The invention discloses a fractional order terminal sliding mode-based AFNN control method of an active power filter. The method comprises the steps of designing a mathematical model of an active filter, a fractional order-based nonsingular terminal sliding mode controller and a fractional order-based adaptive fuzzy neural network controller; and controlling the active power filter by using output of a fractional order-based nonsingular terminal sliding mode adaptive fuzzy neural network controller. According to the AFNN control method, the disadvantage that a nonsingular inversion terminal sliding mode control strategy needs accurate system information is overcome and the robustness is improved; good performance can still be kept when an external load changes; operation of the active power filter along a sliding mode track is ensured through designing the sliding mode controller; for the disadvantages of an inversion control law, an AFNN controller is adopted to approach a nonlinear part in the active power filter. A fractional order module is introduced into the sliding mode controller and the adaptive controller, so that an adjustable item is added by a fractional order in comparison with an integer order, and the overall performance of a system is improved.

The invention discloses a combined nonsingular terminal sliding mode control method of a power converter, and relates to a control scheme of combining a sliding mode control method and a disturbance observation technology of a buck converter. According to the invention, first-order nonsingular terminal sliding mode control is enabled to be combined with a nonlinear disturbance observation technology based on an average state model of the buck converter, on-off is controlled by changing the duty ratio of a switching device through adopting a fixed-frequency PWM mode, and thus target voltage output of the buck converter is realized. Provided by the invention is a power converter control method based on combination of a nonsingular terminal sliding mode and the disturbance observation technology so as to solve a problem that traditional sliding mode/PID control is slow in response speed, low in voltage output quality, poor in disturbance resistance and the like. In the control method, the nonsingular terminal sliding mode has the advantages of fast global convergence and high accuracy, and the disturbance observation technology can perform equivalent compensation on the disturbance, so that influences imposed on output voltage by high-frequency vibration are eliminated to a great extent, and thus the anti-disturbance performance of the power converter control system is improved.

The invention discloses a robust adaptive nonsingular terminal sliding-mode control method of automatic train operation. The method comprises that S1) the bearing condition of vertical movement of a train is analyzed, and a train vertical movement power equation including unknown parameters, uncertainty and external interference is established; S2) a nonsingular terminal sliding-mode surface is constructed; S3) an adaptive law of estimated values of the unknown parameters and a parameter equation of parameters of the sliding mode surface are designed; and S4) the nonsingular terminal sliding-mode surface, the adaptive law of estimated values of the unknown parameters and the parameter equation of parameters of the sliding mode surface are substituted into the train vertical movement power equation including the unknown parameters, uncertainty and external interference, a nonsingular terminal sliding-mode closed-loop control equation is obtained, and the nonsingular terminal sliding-mode closed-loop control equation is used to implement robust adaptive nonsingular terminal sliding-mode control of automatic train operation. Thus, position and speed tracking errors of an ATO system can reach the sliding surface within limited time and converged to 0 within limited time.

The invention relates to a wheeled mobile robot control method. The method is characterized by comprising the following steps of 1, establishing a kinematic model of a wheeled mobile robot; and 2, establishing a double closed-loop system and tracking the position track and angle of the mobile robot through a nonsingular terminal sliding mode and generalized type-2 fuzzy combined method, specifically, tracking the position track of the mobile robot by the outer loop of the double closed-loop system, tracking the angle of the mobile robot by the inner loop of the double closed-loop system, taking a sliding mode surface as control input of a fuzzy system by both the outer loop and the inner loop, taking the output of the fuzzy system as a sliding mode reaching law parameter, and designing theconvergence speed of the inner loop to be higher than the convergence speed of the outer loop. The invention discloses the wheeled mobile robot control method, particularly relates to a double closed-loop control system; and through a generalized type-2 fuzzy control and sliding mode control combined method, the external interference resistance is improved and the systems stability is enhanced.

The invention discloses a smooth nonsingular terminal sliding-mode control method suitable for a control system with a relative degree of 1, relates to a nonsingular terminal sliding-mode control method, and solves the problems that the existing nonsingular terminal sliding-mode control method exists buffeting to cause a controller not to output continuous smooth control signals and not be applied to the control system with the relative degree of 1. The smooth nonsingular terminal sliding-mode control method comprises the following steps: if the controlled system serves as a single-input single-output control system with the relative degree of 1, then acquiring the system state differential in real time, designing a nonsingular terminal sliding mode, introducing a virtual controlled quantity and utilizing an integral action to enable the actual output controlled quantity to be smooth and continuous; if the controlled system serves as a matched multi-input multi-output control system, then converting a scalar realization form of the control system to a matrix vector realization form; if the controlled system serves as a non-matching indeterminate multi-input multi-output control system, then conducting nonsingular state change for two times according to the controllability index r to resolve the system into r subsystems, introducing a reference model to eliminate time-varying uncertainty of input channels of the subsystems, and further designing a control law and a minor control law. The smooth nonsingular terminal sliding-mode control method disclosed by the invention can be applied to smooth nonsingular terminal sliding-mode control of the control system with the relative degree of 1.

The invention discloses a novel recursive fuzzy neural network nonsingular terminal sliding mode control method of a micro gyroscope system. The recursive fuzzy neural network nonsingular terminal sliding mode control method comprises the steps of: designing a nonsingular terminal sliding mode surface function of the micro gyroscope system; determining a nonsingular terminal sliding mode control rate added into the nonsingular terminal sliding mode surface function based on a first Lyapunov stability criterion function; and replacing an uncertain item in the nonsingular terminal sliding mode control rate with output of a constructed recursive fuzzy neural network, and constructing a final control rate according to a result output by means of the constructed recursive fuzzy neural network and the nonsingular terminal sliding mode control rate based on a second Lyapunov stability criterion function, so as to realize tracking control over the micro gyroscope system. The nonsingular terminal sliding mode control adopted by recursive fuzzy neural network nonsingular terminal sliding mode control method has the advantages of high control precision and high robustness, and the singular problem existing in terminal sliding mode control is avoided; and parameters of the novel recurrent fuzzy neural network can be automatically stabilized to the optimal value according to a designed adaptive algorithm, so that the parameter training time is shortened, and the universality of the network structure is enhanced.

The invention discloses a VSG (virtual synchronous generator) control method based on adaptive Terminal robust sliding mode. The VSG control method based on adaptive Terminal robust sliding mode includes the steps: enabling a distributed power supply with energy storage to be equivalent to a direct current voltage source so as to be taken as the prime mover portion of a virtual synchronous generator for supplying electric energy for the whole system; establishing the corresponding relationship between the inverter filtering parameters, the output voltage, the voltage and current of the point of common coupling and each parameter of the synchronous generator; considering a synchronous generator four-order model with an excitation system and valve adjustment to simulate the characteristics of the synchronous generator, and establishing a system mathematic model; according to the characteristics of two input variables of the system, determining two nonsingular Terminal sliding mode surfaces to realize decoupling control, and obtaining the control rule of the inverter based on Terminal robust sliding mode control; and after the control rule of the inverter is controlled through voltage and current double loop control, obtaining a driving signal of pulse width modulation (PWM) to control a DC/AC converter. The VSG control method based on adaptive Terminal robust sliding mode can significantly inhibit system oscillation, can improve stability of electric power system, and has good engineering application prospect.

The invention discloses an ASR adaptive nonsingular terminal sliding mode control method based on multiple agents, and relates to the field of ASR control. According to the method, ASR is decomposed into four single-wheel intelligent agent subsystems based on a graph theory so as to reduce the model dimension; the design of an ASR controller is converted into the design of a single-wheel intelligent agent subsystem controller, a single-wheel agent self-adaptive nonsingular terminal sliding mode controller is provided, a self-adaptive estimation mechanism is adopted to select controller switching item gains, and the time for the actual slip rate to reach an ideal slip rate value can be adjusted through selection of control parameters. According to the invention, under different road adhesion conditions, the actual slip rate of the wheel reaches an ideal slip rate value within limited time, so that the problem of wheel slip is effectively solved, and the safety and the driving capabilityof the system are improved.