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作 者:刘勇智[1] 李杰 戴聪 周政[1] LIU Yong-zhi;LI Jie;DAI Cong;ZHOU Zheng(Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xi'an 710038,China)
机构地区:[1]空军工程大学航空航天工程学院,西安710038
出 处:《电机与控制学报》2020年第3期88-96,共9页Electric Machines and Control
基 金:国家自然科学基金(61304120);航空科学基金(20155896026)。
摘 要:在航空起动/发电系统中,开关磁阻电机(switched reluctance motor,SRM)的双凸极结构和高转矩脉动使航空起动/发电系统模型表现出高度的非线性和不确定性。为了解决SRM的非线性问题,提高系统的响应速度,降低转矩转速脉动,同时提高系统的抗干扰能力,本文基于协同控制和自适应模糊逻辑的基本原理,提出了一种自适应模糊终端协同控制方法(adaptive fuzzy terminal synergetic control,AFTSC)。针对开关磁阻系统模型的高度非线性和不确定性,协同控制确保了系统的鲁棒性,模糊逻辑估计了控制律的非线性方程,提高了控制器的有效性,同时降低了系统的计算体量。仿真和实验结果表明,在自适应模糊终端协同控制方法下,开关磁阻电机系统表现出更好的响应特性,该控制器对于开关磁阻电机转速和转矩的变化表现出更强的鲁棒性,相比于常规基于遗传算法的PID控制器具有更好的性能。In the air start/power generation system,the doubly salient structure and high torque ripple of switched reluctance motor( SRM) make the air start/power generation system model highly nonlinear and uncertain. In order to solve the nonlinear problem of SRM,improve the response speed of the system,reduce the torque and speed ripple,and improve the anti-interference ability of the system at the same time,based on the basic principles of cooperative control and adaptive fuzzy logic,an adaptive fuzzy terminal cooperative control method is proposed in this paper. Considering the high uncertainty and non-linearity of the SRM model,robustness was verified by synergetic controller;the non-linear function of the control law was estimated and the calculation was simplified by adaptive fuzzy logic and therefore the effectiveness was improved. Simulation and experimental results show that the controller has good response performance and robustness to speed and load changes. Compared with GA-PID,the proposed method has better performance.
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