49 results about "Robust control system" patented technology

A Soft Computing (SC) optimizer for designing a Knowledge Base (KB) to be used in a control system for controlling a motorcycle is described. In one embodiment, a simulation model of the motorcycle and rider control is used. In one embodiment, the simulation model includes a feedforward rider model. The SC optimizer includes a fuzzy inference engine based on a Fuzzy Neural Network (FNN). The SC Optimizer provides Fuzzy Inference System (FIS) structure selection, FIS structure optimization method selection, and teaching signal selection and generation. The user selects a fuzzy model, including one or more of: the number of input and / or output variables; the type of fuzzy inference; and the preliminary type of membership functions. A Genetic Algorithm (GA) is used to optimize linguistic variable parameters and the input-output training patterns. A GA is also used to optimize the rule base, using the fuzzy model, optimal linguistic variable parameters, and a teaching signal. The GA produces a near-optimal FNN. The near-optimal FNN can be improved using classical derivative-based optimization procedures. The FIS structure found by the GA is optimized with a fitness function based on a response of the actual plant model of the controlled plant. The SC optimizer produces a robust KB that is typically smaller that the KB produced by prior art methods.

The invention discloses a design method for a robust controller of a vehicle active suspension with a limited frequency band restraint. The method comprises the steps that dynamics characteristics of a vehicle are analyzed at first, and an active suspension model based on the whole vehicle is established; then, aiming at parameter changes of vehicle components, an active suspension state equation containing uncertain parameters is established; aiming at vibration of the vehicle in pitching and inclination directions, saturation characteristics of an actuator of the active suspension, suspension stroke limiting and other issues, a multi-target control model of the active suspension is established; and in view of human bodies' sensitivity to specific frequency bands of vertical vibration (4-8Hz), a robust control system of the active suspension with the limited frequency band restraint is established, the system controller is solved, and vehicle states can be controlled effectively, so that riding comfort can be enhanced.

The invention provides a real-time variable pitch robust control system and a method for a wind turbine based on reinforcement learning. The system comprises a wind speed collection system, a fan information collection module, an enhanced signal generation module, a variable pitch robust control module and a control signal generation module, wherein the wind speed acquisition system is used for collecting the wind speed value in a wind field; the fan information collection module is used for collecting the angular speed of a wind wheel; the enhanced signal generation module can generate an enhanced signal according to the collected wind wheel angular speed and rated wind wheel angular speed; the variable pitch robust control module comprises an action network and an evaluation network, theaction network generates an action value according to the wind speed value in the wind field and the wind wheel angular speed and outputs the action value to the evaluation network, the evaluation network performs learning and training according to the enforced signal and the action value and generates a cumulative return value which is output to the action network, and the action network performs learning and training according to the cumulative return value to update and output the action value; the control signal generation module is connected with the action network to generate the received action value and a corresponding control signal; the wind turbine can adjust the pitch angle according to the control signal, the adjustment of the angular speed of the wind wheel is achieved, andthe smooth output power of a fan is ensured.

AC / DC rectifiers are vital elements in industry. Their uses include HVdc electric energy transmission, uninterruptible power supplies (UPS), electrochemical plants, railway systems, variable speed induction motors, telephone plants, etc. Regrettably, currents IA, IB and IC on the primary side of the transformer feeding the rectifier are distorted, which is penalized worldwide. Conventionally, this distortion is reduced through an apparatus connected either on the primary or secondary side of the transformer. The proposed apparatus, however, is connected on the DC side of the rectifier. It is demonstrated in a laboratory prototype that this apparatus achieves notably low distortion levels (ideally zero) in currents IA, IB and IC, at low cost and with a simple and robust control system, which is capable of handling rapid load variations. It can also be repaired on line without the need to disconnect the system.

The invention provides a delay compensation method of two-input and two-output networked control systems (TITO-NCS), and belongs to the technical field of bandwidth resource limited multiple-input and multiple-output networked control systems. Aiming at the problems of loss of stability of the TITO-NCS and influencing the stability of its own closed control loop and influencing the stability of another closed control loop due to network delay generated by transmission of network data between nodes in the TITO-NCS in which two-input and two-output signals are mutually influenced, the method that the network data transmission process between all the real nodes in the TITO-NCS replaces a network delay compensation model is put forward so that measurement, estimation or identification of the network delay between the nodes can be omitted, and the synchronization requirement of node clock signals can be omitted. With application of the method, the influence of the network delay on the stability of the TITO-NCS can be reduced and the control performance quality of the system can be improved.

A robust control method for directly driving a numerical control platform based on coordinate transformation and parameter adjustment includes the steps: firstly, determining the initial phase of a motor rotor; secondly, performing coordinate transformation and parameter adjustment for contour errors to obtain position errors, namely calculating positional deviation and judging whether to adjust positions or not; and finally, executing robust control algorithm, outputting control quantity and driving the numerical control platform. A control system used in the method comprises a voltage regulation circuit, a rectifier filter unit, an IPM (intelligent power module) inverter unit, a DSP (digital signal processor), a Hall sensor, a grating bar, a current sampling circuit, a positioning sampling circuit and an IPM isolation driving protection circuit. A robust contour controller is used for directly driving the numerical control platform. Based on a complete coordinate transformation and parameter adjustment function, the robust contour controller can be applied to any smooth contour curves, device modeling errors and interference are avoided, and stability of the robust control system is improved.

The invention discloses a maximum power tracking adaptive robust control system and method for a wind turbine system. The maximum power tracking adaptive robust control system for the wind turbine system comprises a wind speed collecting system, a fan information collecting module, an optimal wind wheel angular velocity calculation module, an angular velocity processing module, an adaptive robustcontrol module, a control signal generating module and the like, wherein the adaptive robust control module further comprises an action network and an evaluation network. According to the maximum power tracking adaptive robust control system and method for the wind turbine system, the wind wheel angular velocity is controlled in real time to track the optimal wind wheel angular velocity, so that output power of the wind turbine system is enabled to reach the maximum output power, meanwhile, by means of autonomous learning training of the adaptive robust control system, the condition that the fan output power stably tracks the maximum output power is guaranteed. Compared with the prior art, the system and the method have relative low requirements for dynamics and control theories and high tracking speed, are accurate in control and flexible in reaction and have relatively high robustness.

The invention discloses a micro-grid system voltage stability control method based on robust control. The control structure of an intelligent micro-grid system is composed of a system control layer, a concentrated control layer and a local control layer, and energy optimization and voltage and frequency stability control of the micro-grid system are realized through multi-layer coordination control. According to the micro-grid system voltage stability control method based on robust control, a comprehensive load module of an induction motor is established, wherein dynamic loads are connected with static loads in parallel. On the premise that the constraint conditions of system performance and robust stability are met, a micro-grid voltage stability robust controller is designed by the adoption of a method of solving the problem of mixed sensitivity so as to improve the micro-grid voltage stability. The micro-grid system voltage stability control method based on robust control can be adapted to wide-range change of load parameters, has high robustness for the situations that due to the factors such as changes of running conditions, influences of external environment and frequency switching of the loads, perturbation is generated in model parameters of a micro-grid and uncertainty exists in the topologic part and the unmolded part and can better restrain parameter drift and noise interference, and meanwhile, the controller is simple in structure and easy to realize.

The invention discloses a control method of a vertical material conveying device based on sliding mode self-adaptive robust control, which comprises the following steps: constructing a mathematical model of the vertical material conveying device; planning the expected motion trajectory of the vertical material conveying device; constructing a sliding Modular adaptive robust control system; constructing the control law of the vertical material conveying device, combined with the sliding mode adaptive robust control system, the position control of the vertical material conveying device can be realized. Based on the sliding mode controller, this method designs a reasonable adaptive control law for the unknown parameters in the vertical material conveying device to compensate the influence of the model uncertainty on the control system. In addition, the present invention also designs an adaptive control law for the robust item coefficient in the traditional sliding mode controller, which not only ensures the robustness of the traditional sliding mode control system but also reduces its chattering, further improving the performance of the control system, Realize high-precision position control of vertical material conveying devices with parameter perturbation.

The invention is suitable for the technical field of motor control, and provides a permanent magnet synchronous motor robust control system and method, and the method specifically comprises the steps: a rotating speed / position sensor collects the position angle and rotating speed of a permanent magnet synchronous motor; a current sensor, a Clark conversion module and a Park conversion module obtain d-axis current and q-axis current; a rotating speed-current prediction controller inputs the obtained d-axis current, q-axis current and mechanical angular velocity and the set d-axis reference current and reference mechanical angular velocity to obtain d-axis reference voltage and q-axis reference voltage; after a current amplitude limiting module inputs the d-axis reference voltage and the q-axis reference voltage, the d-axis voltage and the q-axis voltage after amplitude limiting are obtained; and an inverse Park conversion module and a SVPWM module calculate the d-axis voltage and the q-axis voltage to obtain an inverter switch output signal, thereby outputting a three-phase voltage to drive a motor to operate. The robust performance of the permanent magnet synchronous motor system can be improved, the current constraint can be processed, the control structure is simple, and engineering realization is easy.

The present invention discloses a sliding mode robust control method of a discrete time delay uncertain system. A multi-population chaotic simulated annealing particle swarm optimization algorithm is used to optimize a support vector regression machine (SVR) structure parameter, a combined kernel function support vector regression machine is used to give a system prediction model, a control law is solved through a novel sliding mode reaching law, and the reachability of a sliding mode can be guaranteed. The method is used for the robust control of uncertain discrete system with state time delay.