Dynamic output feedback fuzzy sliding mode learning attitude control for hypersonic flight vehicle with actuator rate constraint

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xiaoxiang Hu , Yuewen Wang , Jingwen Xu , Jingyan Zhao , Bing. Xiao
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引用次数: 0

Abstract

By considering the actuator rate constraint and measurable output of hypersonic flight vehicle’s (HFV) attitude system, a dynamic output feedback sliding mode learning controller (DOFSMLC) is proposed in this paper. The proposed DOFSMLC can solve the controller design of nonlinear system with incomplete measurable state, system uncertainties and input rate constraint simultaneously. The nonlinear model of HFV’s attitude system is firstly represented by T-S fuzzy model, then the actuator rate constraint is proposed. Based on the original tracking control objective of HFV’s attitude system, the control objective of the T-S fuzzy model is built. Then a dynamic output feedback (DOF) based sliding surface is design and the stability of the designing sliding surface is guaranteed by selecting appropriate dynamic feedback parameters. A traditional discontinuous reaching law is deigned without considering the actuator rate constraint, and then a sliding mode learning control (SMLC) with iterative updating law is designed. By the designed SMLC, the actuator rate constraint and the system stability requirements can be guaranteed synchronously. Finally, the proposed DOFSMLC is applied on the nonlinear model of HFV’s attitude system, and the simulation results validate the effectiveness of the presented controller
基于作动器速率约束的高超声速飞行器动态输出反馈模糊滑模学习姿态控制
针对高超声速飞行器姿态系统的执行器速率约束和可测输出,提出了一种动态输出反馈滑模学习控制器(DOFSMLC)。该方法可以同时解决具有不完全可测状态、系统不确定性和输入速率约束的非线性系统的控制器设计问题。首先用T-S模糊模型表示HFV姿态系统的非线性模型,然后提出了执行器速率约束。在原HFV姿态系统跟踪控制目标的基础上,建立了T-S模糊模型的控制目标。然后设计了基于动态输出反馈的滑动面,并通过选择合适的动态反馈参数来保证所设计滑动面的稳定性。设计了不考虑执行器速率约束的传统不连续趋近律,设计了具有迭代更新律的滑模学习控制。通过设计的SMLC,可以同步保证执行器的速率约束和系统的稳定性要求。最后,将所提出的DOFSMLC应用于HFV姿态系统的非线性模型,仿真结果验证了所提控制器的有效性
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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