针对混沌现象能够影响永磁同步电动机驱动系统稳定性的问题,本文根据模糊自适应控制和反步设计法的原理,研究了具有不确定参数的永磁同步电动机混沌系统位置跟踪控制,设计了一种新型的降维观测器来估计系统的转子角速度,并利用模糊逻辑系统对永磁同步电动机混沌系统中的非线性函数进行逼近,同时采用反步设计方法,构造了模糊自适应控制器,并在Matlab环境下进行仿真.仿真结果表明,该控制方法能够避免永磁同步电动机出现混沌现象,确保系统可以快速跟踪期望的信号,并对永磁同步电动机混沌系统进行有效控制,该控制策略能够克服永磁同步电动机参数不确定性的影响,实现了对永磁同步电动机的位置跟踪控制.该研究具有实际应用价值.
Considering the chaotic behavior may undermine the stability of the permanent magnet synchronous motor(PMSM) drive system,this paper studies position tracking control of the chaotic PMSM with parameter uncertainties based on the principle of fuzzy adaptive control and backstepping technique.We design a new type of reduced-order observer to estimate the angular velocity of the PMSM system.Fuzzy logic systems are utilized to approximate the unknown and nonlinear functions of the chaotic PMSM drive system.In addition,backstepping technique is applied to design adaptive fuzzy controllers.The simulation results show that the proposed control method can avoid the chaotic behavior in PMSM and ensure that the system can track the desired signal quickly.The control strategy can overcome the effect of PMSM parameter uncertainties and achieve a good control effect of position tracking control on PMSM.This study has lots of practical application value.