Construction of Embedded Processing System for Permanent Magnet Synchronous Motor Configuration Based on Particle Swarm Optimization Algorithm

}In this article, PSO (Particle swarm optimization algorithm) algorithm is combined with embedded processing system, and an embedded processing system of PMSM (Permanent magnet synchronous motor) configuration based on PSO algorithm is constructed to realize efficient and accurate control of PMSM. The system consists of controller, driver, motor, etc. A set of optimal control parameters is found by PSO algorithm, and its feasibility and performance are verified by experiments. The results show that the algorithm can improve the control accuracy and robustness of the motor, while reducing the error and control time. The algorithm has higher search efficiency and accuracy, and better stability performance. Its stability is basically above 89%, and the average running time is about 0.3s. In addition, the adaptability and fast convergence of the algorithm make the system have better performance when dealing with complex and uncertain environments. These improvements provide strong support for the performance improvement and practical application of PMSM control system.