Research On High Robustness And Efficiency Optimization Control Of Built-in Permanent Magnet Synchronous Motor

As the world's largest consumer of electricity,motors and their control systems consume more than 40% of the world's electricity.Therefore,the improvement of the efficiency of motors and their control systems is the focus of promoting industrial energy saving.The improvement of motor system efficiency is not only reflected in the motor itself,but also relies on efficient control algorithms.This paper proposes a new Maximum Torque Per Ampere(MTPA)control strategy for interior permanent magnet synchronous machines(IPMSMs),which ensures minimal copper loss in the system output.The specific contents can be summarized as follows:Firstly,the rotor structures of permanent magnet synchronous motor are analyzed.According to the characteristics of the rotor structure of IPMSMs,it is clarified that carrying out MTPA control is an effective way to improve the efficiency of IPMSMs.The mathematical model of the permanent magnet synchronous motor in different coordinates is given,on the basis of which the principle of vector control and different current control methods are introduced.The disadvantages faced by motor control in practical applications,such as dead zones and digital delays,are also analyzed.Secondly,the stator flux observer of permanent magnet synchronous motor is analyzed and summarized.The stator flux observation and optimization methods are compared and studied from three aspects of steady-state accuracy,parameter robustness and dynamic response,and the applicable working conditions of each flux observer are analyzed.Then,based on the traditional search control,and using the summarized flux observer,an improved MTPA algorithm is proposed.The proposed algorithm does not use inductance parameters when realizing the MTPA operation,so the proposed algorithm is robustness to inductance parameters,and the change of inductance parameters will not affect the implementation quality of the proposed algorithm.Meanwhile,the steady-state accuracy and dynamic response of the traditional search method are improved.The proposed algorithm is compared with the traditional search control by simulation,and the control performance of the proposed algorithm is verified.Finally,the proposed algorithm is verified on the 2.2k W IPMSM experimental platform.The experimental results show that the proposed algorithm has better steady-state and dynamic performance than the traditional search control.