Research On PMSM Position Sensorless Vector Control Based On DSPACE

Permanent magnet synchronous motors have been widely used in traditional servo systems due to their advantages such as large starting torque and high power factor,especially in the new energy automobile industry.The traditional permanent magnet synchronous motor control system development method has a long cycle and a large workload,which does not meet the current research and development concept Using the dSPACE semi-physical simulation platform to use the V process development mode for the control system can greatly speed up the development progress and reduce costs.The traditional motor vector control system uses mechanical sensors to obtain the speed and rotor position information of the motor The cost is high and it is difficult to adapt to the harsh working environment.The use of new sensorless vector control technology can reduce costs and enhance system reliability.It is also a research hotspot in the industry today.This paper focuses on the position sensorless vector control technology based on sliding mode control,estimates the rotor position and speed by detecting the back electromotive force when the motor is running,and then experimentally verifies the designed algorithm based on the dSPACE hardware-in-the-loop simulation platform.It works as follows:Firstly,the research background of the subject is claborated.The application status of dSPACE and the research status of sensorless control algorithms of PMSM at home and abroad are analyzed.The research direction and use method of this paper are analyzed.The main content of this paper is established.Secondly,the modeling process of the permanent magnet synchronous motor is analyzed in detail,the vector control method is determined,and the implementation method of the seven-segment SVPWM algorithm is studied in detail to complete the design of the closed-loop model of the speed control system.Through theoretical analysis,the traditional method is pointed out.The cause of the chattering of the control system under the sliding mode observer,and the phase locked loop is designed to extract the speed and rotor position information to improve the control performance.Then use MATLAB/Simulink to transform the mathematical model into a simulation model,and design a sliding mode controller for the situation where the speed outer loop adopts PI control in the actual system,which is susceptible to external interference.The simulation results show that the improved system is dynamic and robust.There have been significant improvements in terms of stickiness.Finally,in the case of completing the simulation,based on the dSPACE hardware-in-the-loop simulation platform,an actual speed regulation system is set up.By setting different working conditions and comparing and analyzing the experimental data,it is verified that the sliding mode control algorithm is more resistant to interference than the PI control algorithm Better performance and robustness.