Research on Adaptive Control Strategy of MTPA for IPMSM Based on the Online Parameters Identification

For an interior permanent magnet synchronous machine (IPMSM), parameters mismatching would affect the performance and reduce the output efficiency.In this paper, a variable parameter Maximum Torque Per Ampere(MTP A)control method based on online parameters identification was proposed. Firstly, an adaptive linear neural network algorithm is used to identify the motor parameters, and then the MTPA control is modified by combining the identified parameters. The results show that the proposed strategy has a nice adaptation to parameters mismatching, along with an improved output efficiency which is beneficial to magnetic recording motor.