Permanent magnet synchronous motor vector control based on BP neural network

Abstract

In this paper, the traditional permanent magnet synchronous motor vector control system has problems such as low control precision, low reliability, poor system operation status. To solve these problems, because of the neural network has self-learning and self-adaptive ability to BP algorithm can be applied to parts of speed control system. This paper proposes a PMSM which based on BP neural network algorithm and control systems. Then the system model is established in Simulink environment, and the superiority and feasibility of the strategy are verified by comparing with traditional PID controller.