摘要
针对飞机主动侧杆系统中现有比例控制算法的低精度问题,提出了一种结合比例控制与迭代学习控制的算法,该方法可以不断学习调节转子实际位置与期望位置的差值,对电机转动速度和交轴给定电流进行在线补偿,使侧杆位置不断向期望位置逼近。通过仿真实验对基于ILC算法的侧杆位置伺服系统进行了验证,结果表明,所提出的算法相对于传统的PID控制算法,可以有效地提升系统稳态跟踪精度,并具有较好的动态响应性能。
Aiming at the problem that the position control is not accurate enough,when active sidestick using permanent magnet synchronous motor(PMSM)three-loop vector control with the traditional proportional control method,an algorithm combining proportional control and iterative learning control was proposed.This method can continuously learn to adjust the difference between the actual position of the rotor and the expected position,and make online compensation for the motor rotation speed and the given current of the quadrature axis,so that the position of the sidestick keeps approaching the expected position.The simulation results show that compared with the traditional PID control algorithm,the proposed algorithm can effectively improve the steady-state tracking accuracy of the system and has better dynamic response performance.
作者
张旭
孙永荣
陈悦
刘闯
ZHANG Xu;SUN Yongrong;CHEN Yue;LIU Chuang(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处
《机械与电子》
2019年第12期42-46,共5页
Machinery & Electronics
基金
中央高校基本科研业务费专项资金资助(56XBC18249)
