Dynamic Performance Optimization Of Permanent Magnet Synchronous Motor Based On Voltage Feedback

With scientific and technological progress and economic growth, people are increasingly concerned about the global environmental degradation and energy consumption. However, as one of the outstanding inventions of industrial civilization, the automobile has become one of the important causes of environmental pollution. The use of traditional internal combustion engine as a driving force of the car, there is the inevitable emissions of the problem. At the same time,due to the non-renewable nature of petrochemical energy, but also promote the use of electric-driven electric vehicle research and application of a research hotspot. The three parts of electric vehicles are batteries, motors and electronic control. In this paper, the electric control part of the electric vehicle, namely the performance of the motor controller, is studied. With the IPMSM as the research object, the common vector control strategy is analyzed, and the IPMSM driving algorithm of the voltage feedback is presented. The softness of the drive control system is completed, and the design of hardware is also given. The fruits of this work are as follows:Firstly, the basic structure and working principle of IPMSM are analyzed. The voltage equation, flux linkage equation and torque equation of the motor are established. The mathematical model of the two-phase rotating coordinate system is deduced.Secondly, the commonly used IPMSM drive control strategy is studied. Based on this, a new algorithm based on voltage feedback is proposed to improve the dynamic performance of the IPMSM drive system. A simulation model is built and simulated by Matlab. The feasibility of the proposed algorithm has been confirmed by simulation results.Finally, the experiment platform of IPMSM drive system is set up, and the TMS320LF2407 A DSP is designed as the hardware circuit of the main control chip. The main circuit includes power circuit, controller, current feedback, rotor position detection, signal processing, and drive protection circuit, low voltage power supply circuit, and completed the software design. Experimental results show that the proposed algorithm has good dynamic performance and robustness.