航空电动静液作动器神经网络模糊滑模控制  

Neural network fuzzy sliding mode control for aero electro-hydraulic actuator

作　　者：胡逸雯 陈银超 马波 谢磊 Hu Yiwen;Chen Yinchao;Ma Bo;Xie Lei(National Key Laboratory of Digital and Agile Aircraft Design,Chengdu 610091,China;Avic Chengdu Aircraft Design&Research Institude,Chengdu 610091,China)

机构地区：[1]飞行器数字敏捷设计全国重点实验室,成都610091 [2]中国航空工业集团公司成都飞机设计研究所,成都610091

出　　处：《国外电子测量技术》2024年第10期120-126,共7页Foreign Electronic Measurement Technology

基　　金：国防科研项目(JCKY2021205A004)资助。

摘　　要：针对航空器中电动静液作动器(EHA)的高控制性能需求,传统控制策略难以解决参数自适应整定与滑模控制中常见的抖振问题,为平衡抖振抑制与控制性能,进一步提升控制稳定性与精度,设计了一种新型的神经网络模糊滑模控制器(NNFSMC)。首先针对航空EHA位置环构建积分滑模控制器;其次通过模糊控制的策略整定滑模趋近律中的关键参数,然后利用BP神经网络的自适应优化能力进一步抑制滑模控制中的抖振现象;最后,在MATLAB/Simulink平台上进行仿真实验,对比分析不同控制算法下的位置跟踪性能。仿真结果表明,NN-FSMC能有效提升航空EHA系统的响应速度与位置跟踪精度,并在频率变化情况下提供更为平滑的响应。In the context of the high control performance requirements for electro-hydraulic actuator(EHA)in aircraft,traditional control strategies often struggled with parameter adaptation and the chattering problem commonly associated with sliding mode control.To balance chattering suppression and control performance,and to further enhance control stability and precision,a novel neural network fuzzy sliding mode controller(NN-FSMC)was proposed.First,an integral sliding mode controller was designed for the position loop of the EHA.Next,a fuzzy control strategy was used to tune the key parameters in the sliding mode reaching law.Then,the adaptive optimization capability of a BP neural network was employed to further mitigate chattering in the sliding mode control.Finally,simulation experiments were conducted on the MATLAB/Simulink platform,comparing the position tracking performance under different control algorithms.The simulation results demonstrated that NN-FSMC effectively improved the response speed and position tracking accuracy of the EHA system,and provided a smoother response under varying frequencies.

关 键 词：电动静液作动器 滑模控制 模糊控制 神经网络 

分 类 号：TM3[电气工程—电机] V245.1[航空宇航科学与技术—飞行器设计] V249.12