一种基于改进粒子群优化的变论域双闭环模糊PI永磁同步电机矢量控制方法
By improving the variable universe dual-closed-loop fuzzy PI control method based on particle swarm optimization, the fuzzy algorithm control factor of the permanent magnet synchronous motor is optimized, which solves the problems of fast response and dynamic stability during the start-up phase, enhances the motor's anti-disturbance capability, and reduces overshoot.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU UNIV OF ELECTRONIC SCI & TECH WENZHOU RES INST CO LTD
- Filing Date
- 2023-01-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing permanent magnet synchronous motors suffer from insufficient fast response of current following given voltage during startup and insufficient dynamic stability of speed during constant speed. Traditional fuzzy PI algorithm parameter tuning suffers from overshoot.
An improved particle swarm optimization dual-loop fuzzy PI control method with variable universe of discourse is adopted. The inertial weight is set by random weight to improve the PSO optimization efficiency. The fuzzy algorithm control factors Ke, Kec, proportional factor Ku and correction factor θ are optimized. The quantization factor and proportional factor are adjusted in real time. The initial parameters of the current inner loop and speed outer loop PI are combined for optimization.
It improves the rapid response of the current following the given voltage during the startup phase and the dynamic stability during the constant speed phase, enhances the anti-disturbance capability, and reduces overshoot.
Smart Images
Figure CN115987155B_ABST