EHA反馈线性化最优滑模面双模糊滑模控制

张振; 李海军; 诸德放

doi:10.13700/j.bh.1001-5965.2015.0454

EHA反馈线性化最优滑模面双模糊滑模控制

doi: 10.13700/j.bh.1001-5965.2015.0454

1.
海军航空工程学院兵器科学与技术系, 烟台 264001
2. 空军勤务学院航空弹药系, 徐州 221000

详细信息

作者简介:
张振男,博士研究生。主要研究方向:机载及弹载作动器一体化集成设计与控制。Tel.: 15653527266 E-mail: 755310683@qq.com;李海军男,博士,教授,博士生导师。主要研究方向:机载及弹载作动器一体化集成设计与控制,航空导弹测试与故障诊断。Tel.: 13081617309 E-mail: li_haijun@sohu.com;诸德放男,硕士,副教授,硕士生导师。主要研究方向:武器系统与运用工程。Tel.: 13505205558 E-mail: zdf5558@163.com

通讯作者:
李海军,Tel.: 13081617309 E-mail: li_haijun@sohu.com

中图分类号: TH137
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出版历程
- 收稿日期: 2015-07-07
- 网络出版日期: 2016-07-20

Double fuzzy sliding mode control for EHA based on feedback linearization optimal sliding surface

1.
Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China
2. Department of Aerial Ammunition, Air Force Logistics College, Xuzhou 221000, China

摘要

摘要: 为提高电静液作动器（EHA）控制性能，提出了一种反馈线性化最优滑模面的双模糊滑模控制方法。该方法在EHA的非线性模型上，利用反馈线性化方法将其线性化，在此基础上建立线性切换函数，并采用最优控制理论对切换函数进行设计。为削弱抖振将模糊控制算法引入滑模控制中，采用一个模糊控制器，根据最优滑模函数运动特性的数值对切换控制增益进行估计；采用另一个模糊控制器，根据滑模控制原理对切换控制项进行调整。仿真结果证明了该方法的有效性。
- 电静液作动器(EHA) /
- 反馈线性化 /
- 滑模控制 /
- 最优控制 /
- 模糊控制
Abstract: In order to improve the control performance for electro-hydrostatic actuator(EHA), double fuzzy sliding mode control based on feedback linearization optimal sliding surface was proposed. The nonlinear model of EHA was linearized based on the feedback linearization by establishing linear switching function and adopting optimal control theory. Fuzzy control was introduced into sliding mode control to reduce the chattering, and a fuzzy controller was adopted to estimate the switching control gain based on the characteristics of optimal sliding mode switching function; another fuzzy controller was adopted to adjust the corrective controller based on the principle of the sliding mode control. The simulation results show that the proposed control scheme is effective.
- electro-hydrostatic actuator (EHA) /
- feedback linearization /
- sliding mode control /
- optimal control /
- fuzzy control

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参考文献(18)

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