永磁同步电机自适应弱磁控制策略研究
Research on Adaptive Flux-Weakening Control Strategy for Permanent Magnet Synchronous Motors
薛大伟 1常九健 1王晓林1
作者信息
摘要
针对传统PI控制器难以同时满足高速弱磁和低速弱磁电压反馈回路增益非线性变换的问题,提出了一种自适应调节方案.通过分析解耦电压反馈式电流超前角控制回路中导致系统非线性的因素,设计了反比函数转速调节器和模糊控制电流超前角调节器,对弱磁工况下电压控制回路的非线性进行补偿,设计了钳位抗饱和模块以解决电压反馈积分饱和问题.在此基础上,采用粒子群优化算法,对模糊控制器的模糊规则权值和比例因子进行离线优化.通过仿真和试验证明了自适应弱磁算法响应特性优于传统PI电压反馈控制算法.
Abstract
A self-adaptive adjustment scheme is proposed to address the problem that traditional PI controllers cannot simultaneously achieve nonlinear gain transformation in both high-speed and low-speed weak magnetic field voltage feedback loops.By analyzing the factors that lead to system nonlinearity in the decoupling-voltage-feedback current-lead-angle control loop,an inverse function speed regulator and a fuzzy control current lead angle regulator have been designed.These regulators compensate for the nonlinearity of the voltage control loop under weak magnetic field conditions.Additionally,a clamping anti-saturation module is developed to solve the issue of integral saturation in voltage feedback.On this basis,the particle swarm optimization algorithm is adopted to conduct offline optimization of the fuzzy rule weights and proportional factors in the fuzzy controller.Finally,simulation and experimental results show that the adaptive weak magnetic algorithm exhibits better response characteristics compared to traditional PI voltage feedback control algorithms.
关键词
弱磁控制/电压反馈控制/自适应控制/模糊控制/粒子群优化Key words
flux-weakening control/voltage feedback control/adaptive control/fuzzy logic control/particle swarm optimization引用本文复制引用
基金项目
安徽省新能源汽车暨智能网联汽车创新工程项目(IMIZX2019005)
出版年
2024
国家科技期刊平台
NSTL
万方数据