基于改进模糊PI控制器的PMSM矢量控制系统仿真
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摘要
PMSM具有非线性、强耦合、参数时变的特点,传统PI控制器存在参数不能跟随系统状态改变而做出自整定的问题,模糊PI控制器的控制系统仍存在超调量大,震荡,转矩脉动较大等问题。针对上述问题,该文给出了一种改进的模糊控制规则,将输入信号模糊化,进行模糊规则推理,使模糊控制器可以输出更适合系统当前状态的调整量,实现对模糊PI控制器的优化。仿真结果表明,采用改进模糊PI控制调速系统,有更快的响应速度,而且超调量小,抗干扰能力强,使系统的动、静态特性有明显的提升,验证了该模糊控制规则的可行性及优越性。
PMSM is characterized by non-linearity,strong coupling and time-varying parameters. The parameters of traditional PI controller cannot be self-tuning due to the change of system state. The control system of fuzzy PI controller still has problems such as large overshoot,vibration and torque ripple. In order to solve the above problems,an improved fuzzy control rule is proposed in this paper. The input signal is fuzzified and the fuzzy rule reasoning is carried out,so that the fuzzy controller can output the adjustment quantity more suitable for the current state of the system and realize the optimization of the fuzzy PI controller. Simulation results show that the improved fuzzy PI control speed regulation system has faster response speed,small overshoot,strong anti-interference ability,and significantly improves the dynamic and static characteristics of the system,which verifies the feasibility and superiority of the fuzzy control rules.
PMSM is characterized by non-linearity,strong coupling and time-varying parameters. The parameters of traditional PI controller cannot be self-tuning due to the change of system state. The control system of fuzzy PI controller still has problems such as large overshoot,vibration and torque ripple. In order to solve the above problems,an improved fuzzy control rule is proposed in this paper. The input signal is fuzzified and the fuzzy rule reasoning is carried out,so that the fuzzy controller can output the adjustment quantity more suitable for the current state of the system and realize the optimization of the fuzzy PI controller. Simulation results show that the improved fuzzy PI control speed regulation system has faster response speed,small overshoot,strong anti-interference ability,and significantly improves the dynamic and static characteristics of the system,which verifies the feasibility and superiority of the fuzzy control rules.
引文
[1]张榜英.永磁同步电机的智能控制方法研究[D].长沙:湖南大学,2008.
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[5]张雪峰.内置式永磁同步电机模糊PI弱磁控制[D].天津:天津工业大学,2018.
[6]李雪恺.永磁同步电机无传感器新型滑膜观测器研究[D].四川:电子科技大学,2016.
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[2]袁雷.现代永磁同步电机控制原理及MATLAB仿真[M].北京:北京航空航天大学出版社,2016.
[3]冯晓彤.永磁同步电机的无速度传感器控制算法研究[D].哈尔滨:哈尔滨工业大学,2018.
[4]胡小林.永磁同步电机控制器参数自整定技术研究[D].成都:西南交通大学,20181.
[5]张雪峰.内置式永磁同步电机模糊PI弱磁控制[D].天津:天津工业大学,2018.
[6]李雪恺.永磁同步电机无传感器新型滑膜观测器研究[D].四川:电子科技大学,2016.
[7]陆梦羽,于挺,张旭秀,等.基于负载转矩补偿的永磁同步电机滑膜控制[J].大连交通大学学报,2018,39(5):103-106.
[8]樊英杰,张开如,马慧,等.基于模糊PI永磁同步电机优化矢量控制系统的研究[J].电气传动,2016,46(3):15-19.