模糊伸缩因子优化变论域的模糊PID矢量控制研究

Research on fuzzy PID vector control based on fuzzy expansion factor optimization variable domain

传统PID对永磁同步电机(PMSM)加以控制时,系统性能会随内部参数、外部载荷时变而波动。将PID技术与模糊理论相结合无疑是解决上述问题的有效途径。模糊伸缩因子优化变论域技术不仅具有普通模糊PID的优点,且能利用模糊伸缩因子实现对初始论域的在线调整,大大提升了模糊规则的利用率。仿真结果表明:模糊伸缩因子优化变论域的PMSM伺服系统响应速度更快,超调量小,并且当负载过大过快变化时,转矩脉动小,调整时间短。该策略在工程上具有较好的实用性和应用前景。

When the conventional PID controls the permanent magnet synchronous motor(PMSM),the system performance may fluctuate due to the internal parameters and external loads.Combining PID technology with fuzzy theory is undoubtedly an effective way to solve the above problems.The fuzzy scaling factor optimization variable domain technology not only has the advantage of common fuzzy PID,but also can use the fuzzy scaling factor to realize online adjustment of the initial domain,which greatly improves the utilization rate of fuzzy rules.The simulation results show that the PMSM servo system in the variational domain of fuzzy scaling factor optimization has a faster response speed,a smaller overshoot,a smaller torque ripple and a shorter adjustment time when the load is too large and changes too fast.This strategy has good practicability and application prospect in engineering.