Research On PMSM Current Model Predictive Control System Based On Active Disturbance Rejection Control Technology

Permanent magnet synchronous motor(PMSM)is widely used in the field of servo system and AC speed regulation because of its small armature reaction,good braking performance and simple structure.The traditional linear control strategy of motor,such as vector control,often adopts PI(proportional and integral)cascade control,which has the disadvantages of poor anti-interference performance and low steady-state accuracy,so it is difficult to meet the requirements of high performance control.In this paper,the motor servo control system using model predictive control and active disturbance rejection control strategy is studied,and the main research contents are as follows:1.In order to improve the dynamic response speed and steady-state operation accuracy of current,the finite control set model predictive controller is designed and applied to the current inner loop of motor control system.Aiming at the time delay effect of the algorithm in the control system,the third-order extrapolation prediction method is used to compensate the delay.For enhancing the anti load disturbance ability of the motor during operation,the active disturbance rejection controller(ADRC)is designed to replace the PI regulator in the speed loop.The stability of the ADRC is analyzed.The effectiveness of model predictive control in the inner current loop and active disturbance rejection controller in the outer speed loop of the motor servo control system was verified by simulation software.2.The position loop and speed loop are regarded as second-order system,and the composite active disturbance rejection controller of position and speed is designed.In order to further improve the tracking effect and anti disturbance ability of ADRC for position and speed,and solve the tedious parameter adjustment problem,RBF neural network and BP neural network are used to adjust the parameters of nonlinear extended state observer and nonlinear state error feedback in ADRC online.The superiority of the proposed algorithm is verified by modeling and simulation.3.In order to realize sensorless control of PMSM,the second-order linear extended state observer is designed to observe the current and unknown back EMF of the motor in two-phase static coordinate system,and then the rotor position and speed information of the motor are calculated from the back EMF through the phase-locked loop system.In order to verify its feasibility,the simulation results are compared with the sensorless control method of sliding mode observer based on sigmoid(s)function.The simulation results show that the second-order linear extended state observer has higher estimation accuracy for rotor position and speed,and it can track the speed quickly under the condition of variable speed.4.The hardware and software experimental platform of PMSM drive control system based on dsp-tms320f28335 is built,and the hardware circuit design and software algorithm flow are described.The feasibility of current loop model predictive controller,speed loop and position loop active disturbance rejection controller and sensorless control algorithm is verified by experiments.