飞机舵机电液加载系统控制补偿器设计与仿真

doi:10.16182/j.issn1004731x.joss.19-0570

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (5): 1031-1038.doi: 10.16182/j.issn1004731x.joss.19-0570

飞机舵机电液加载系统控制补偿器设计与仿真

刘晓琳¹, 吴竟祎²

1.中国民航大学天津市智能信号与图像处理重点实验室,天津 300300;
2.东方航空技术有限公司,上海 200335

收稿日期:2019-10-30 修回日期:2020-08-17 出版日期:2021-05-18 发布日期:2021-06-09
作者简介:刘晓琳(1978-),女,博士,副教授,研究方向为智能控制。E-mail: caucyanjiusheng@163.com
基金资助:
天津市自然科学基金(17JCYBJ18200); 中央高校基金(3122018C002); 中国民航大学波音基金(20190621022)

Design and Simulation for Compensatory Controller of Aircraft Rudder Electro-hydraulic Loading System

Liu Xiaolin¹, Wu Jingyi²

1. Civil Aviation University of China Tianjin Key Laboratory for Advanced Signal Processing, Tianjin 300300, China;
2. Eastern Airlines Technic Co. Ltd, Shanghai 200335, China

Received:2019-10-30 Revised:2020-08-17 Online:2021-05-18 Published:2021-06-09

摘要/Abstract

摘要： 飞机舵机电液加载系统是一种力伺服系统,是实验中测试舵机性能的专用设备。为了降低系统存在的多余力对控制效果的干扰,提出了基于粒子群算法的径向基神经网络实时整定PID控制器的控制方法。利用粒子群算法的全局寻优与超参数优化的特性来改善控制器的控制效果。同时使用基于退火的学习系数,加快网络收敛速度。仿真结果表明相比于常规径向基神经网络控制方法,该方法有效抑制了多余力的干扰,实现了高精度加载,提高了系统的加载精度与响应速度。

关键词: 飞机舵机电液加载系统, 多余力抑制, 径向基神经网络, 粒子群算法

Abstract: The electro-hydraulic loading system of aircraft rudder is a torque servo system which is a special equipment for testing the performance of rudder. In order to reduce the influence of surplus force in loading system, a control method for PID controller tuned in real time by radial basis function neural network based on particle swarm optimization is proposed. The characteristics of global and hyper parameter optimization of particle swarm optimization are used to improve the control effect of the controller. The learning coefficient based on annealing is used to accelerate the network convergence speed. Simulation results show that, compared with the conventional control method, the new method suppresses the interference of surplus force, achieves the high-precision loading and improves the loading accuracy and response speed.

Key words: aircraft rudder electronic-hydraulic loading system, surplus force suppression, radial basis function (RBF) neural network, particle swarm optimization algorithm

中图分类号:

V249
TP391

刘晓琳, 吴竟祎. 飞机舵机电液加载系统控制补偿器设计与仿真[J]. 系统仿真学报, 2021, 33(5): 1031-1038.

Liu Xiaolin, Wu Jingyi. Design and Simulation for Compensatory Controller of Aircraft Rudder Electro-hydraulic Loading System[J]. Journal of System Simulation, 2021, 33(5): 1031-1038.

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飞机舵机电液加载系统控制补偿器设计与仿真

Design and Simulation for Compensatory Controller of Aircraft Rudder Electro-hydraulic Loading System

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