With the continuous progress of science and technology,modern industrialization is accelerating to the development of intelligent,the field of new energy can not be separated from the application of motor,in order to save resources,protect the environment,replace the traditional fuel vehicles with new energy vehicles are also in constant development,has been an important development direction of each country,such as Nio,ideal,Xiaopeng and other electric vehicles have begun to flourish,among which permanent magnet synchronous motor(PMSM)has been widely spread and applied because of its simple structure,reliable operation,low loss and high efficiency.As the application of permanent magnet synchronous motor in new energy electric vehicles is more and more extensive,this paper takes the permanent magnet synchronous motor of new energy vehicles as the control object,in-depth study of permanent magnet synchronous motor vector control algorithm and sensorless control algorithm for research.The first part is the research of PMSM vector control system.PMSM is introduced and its working principle is described.Based on the coordinate transformation theory,a mathematical model is established and space pulse width vector modulation technology is introduced.The second part is the research of PMSM vector control strategy based on sliding mode control.In view of the unstable control characteristics of the traditional PI controller,the exponential reaching rate sliding mode controller and exponential power reaching rate sliding mode controller are designed respectively for optimization and quadratic optimization,and the controller parameters are determined by genetic algorithm.And in Matlab/Simulink above the verification,if the simulation verified the sliding mode controller has good characteristics.The third part is the research of sensorless vector control strategy of PMSM.In the sensorless control system of PMSM,the rotor position and velocity expressions are derived according to the mathematical model,and the improved slip observer is designed.For the problems that are easy to be caused by the traditional sliding mode observer,the switch function is redesigned.The sliding mode observer model is established in Matlab/Simulink and verified.It is verified that the improved sliding mode observer has a great improvement on the control performance of the traditional sliding mode observer.The fourth part is the joint simulation based on MATLAB and LABVIEW.The co-simulation model is established in Matlab and Labview,and a co-simulation experiment is proposed.The simulation model can be directly seen on Labview,which further reduces the debugging time and improves the efficiency of system simulation. |