高超声速飞行器纵向通道分层模糊自适应H∞控制

doi:10.11772/j.issn.1001-9081.2015.10.2920

计算机应用 ›› 2015, Vol. 35 ›› Issue (10): 2920-2926.DOI: 10.11772/j.issn.1001-9081.2015.10.2920

高超声速飞行器纵向通道分层模糊自适应H_∞控制

王永超, 张胜修, 曹立佳, 扈晓翔

第二炮兵工程大学自动控制工程系, 西安 710025

收稿日期:2015-04-27 修回日期:2015-07-28 出版日期:2015-10-10 发布日期:2015-10-14
通讯作者: 张胜修(1963-),男,陕西西安人,教授,博士生导师,主要研究方向:导航、制导与控制,zsx1963@aliyun.com
作者简介:王永超(1991-),男,河南周口人,硕士研究生,主要研究方向:智能鲁棒控制;曹立佳(1982-),男,四川自贡人,讲师,博士,主要研究方向:控制系统计算机仿真;扈晓翔(1982-),男,山东寿光人,讲师,博士,主要研究方向:非线性系统控制。
基金资助:
国家自然科学基金资助项目(61304001,61304239)。

Adaptive H_∞ control for longitudinal plane of hypersonic vehicle based on hierarchical fuzzy system

WANG Yongchao, ZHANG Shengxiu, CAO Lijia, HU Xiaoxiang

Department of Automatic Engineering, the Second Artillery Engineering University, Xi'an Shaanxi 710025, China

Received:2015-04-27 Revised:2015-07-28 Online:2015-10-10 Published:2015-10-14

摘要/Abstract

摘要： 针对具有参数不确定性特点的高超声速飞行器输出跟踪问题,提出了一种基于分层模糊系统的自适应H_∞控制器的设计方法。为了解决模糊控制器中规则数目随系统变量个数呈指数增长的问题,减少在线辨识参数的数量,增强控制系统的实时性,设计了一种基于分层模糊系统的间接自适应控制器;同时为了减少模糊系统逼近误差、参数不确定性和系统外部干扰对控制系统稳定性造成的影响,引入鲁棒补偿项,提高控制器的H_∞性能,并利用Lyapunov理论分析证明了整个系统的稳定性能。仿真结果表明,该方法不仅能够保证高超声速飞行器具有良好跟踪性能,而且具有很强的鲁棒性。

关键词: 高超声速飞行器, 自适应控制, 分层模糊系统, H_∞性能

Abstract: To deal with the output tracking problem of a hypersonic vehicle with parameters uncertainty, an adaptive controller which obtained H_∞ performance was proposed based on hierarchical fuzzy system. In order to solve the problem that the number of rules in a fuzzy controller increases exponentially with the number of variables involved, reduce the number of the parameters to be identified on-line and enhance the real-time performance of the control system, an adaptive controller was designed based on hierarchical fuzzy system. To weak the impact on the stability abused by approximation error of the fuzzy logic system, parameters uncertainty and the external disturbances, the robust compensation terms were introduced to improve the H_∞ performance of the system. The Lyapunov theory was applied to analyze and prove the stability of the system. The simulation results demonstrate that the system can not only track the input exactly, but also possess strong robustness.

Key words: hypersonic vehicle, adaptive control, hierarchical fuzzy system, H_∞ performance

中图分类号:

TP273.2

王永超, 张胜修, 曹立佳, 扈晓翔. 高超声速飞行器纵向通道分层模糊自适应H_∞控制[J]. 计算机应用, 2015, 35(10): 2920-2926.

WANG Yongchao, ZHANG Shengxiu, CAO Lijia, HU Xiaoxiang. Adaptive H_∞ control for longitudinal plane of hypersonic vehicle based on hierarchical fuzzy system[J]. Journal of Computer Applications, 2015, 35(10): 2920-2926.

参考文献

[1] SUN C, MU C, YU Y. Some control problems for near space hypersonic vehicles[J]. Acta Automatica Sinica, 2013, 39(11): 1901-1913. (孙长银,穆朝絮,余瑶.近空间高超声速飞行器控制的几个科学问题研究[J].自动化学报,2013,39(11):1901-1913.)
[2] CUI E. Research statutes, development trends and key technical problems of near space flying vehicles[J]. Advances in Mechanics, 2009, 39(6): 658-673. (崔尔杰.近空间飞行器研究发展现状及关键技术问题[J].力学进展,2009,39(6):658-673.)
[3] HUANG L, DUAN Z, YANG J. Challenges of control science in near space hypersonic aircrafts[J]. Control Theory and Applications, 2011, 28(10): 1496-1505.(黄琳,段志生,杨剑影.近空间高超声速飞行器对控制科学的挑战[J]. 控制理论与应用,2011, 28(10):1496-1505.)
[4] XU H, MIRMIRANI M D, IOANNOU P A.Adaptive sliding mode control design for a hypersonic vehicle [J]. Journal of Guidance Control and Dynamics, 2004, 27(5):829-838.
[5] SUN D, HUO W. Indirect adaptive control based on hierarchical fuzzy systems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(4): 303-307. (孙多青,霍伟.基于分层模糊系统的间接自适应控制[J].北京航空航天大学学报,2003,29(4):303-307.)
[6] LI H, SUN W. Exponential approach law based sliding control for a hypersonic vehicle[J]. Aerospace Control and Application, 2009, 35(4): 39-43.
[7] WAN J, WANG Q, AI J. Dynamic inversion-based control system of a hypersonic vehicle with model uncertainty[C]//Proceedings of the 18th AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference. Reston: American Institute of Aeronautics and Astronautics, 2012: 24-28.
[8] SUN H, LI S, SUN C. Finite time integral sliding mode control of hypersonic vehicles[J]. Nonlinear Dynamics, 2013, 73(1):229-244.
[9] XU B, PAN Y, WANG D, et al. Discrete-time hypersonic flight control based on extreme learning machine[J]. Neurocomputing, 2014, 128(3): 232-241.
[10] DONG C, HOU Y, ZHANG Y, et al. Model reference adaptive switching control of a linearized hypersonic flight vehicle model with actuator saturation[J]. Journal of Systems and Control Engineering, 2010, 224(3): 289-303.
[11] WANG Y, JIANG C, WU Q. Multi-model soft-switching cost-guaranteed non-frangile control for near-space vehicle[J]. Control Theory and Applications, 2012, 29(4): 440-446.(王宇飞,姜长生,吴庆宪. 近空间飞行器多模型软切换保性能非脆弱控制[J]. 控制理论与应用,2012,29(4):440-446.)
[12] HU X, WU L, HU C, et al. Adaptive sliding mode tracking control for a flexible air-breathing hypersonic vehicle[J]. Journal of the Franklin Institute, 2012, 349(2): 559-577.
[13] XU B, SHI Z, YANG C, et al. Neural hypersonic flight control via time-scale decomposition with throttle setting constraint[J]. Nonlinear Dynamics, 2013, 73(3): 1849-1861.
[14] SHEN Q, JIANG B, COCQUEMPOT V. Fault-tolerant control for T-S fuzzy systems with application to near-space hypersonic vehicle with actuator faults[J]. IEEE Transactions on Fuzzy Systems, 2012, 20(4): 652-665.
[15] WANG L. Adaptive fuzzy systems and control: Design and stability analysis[M]. Beijing: National Defence Industry Press, 1995.(王立新.自适应模糊系统与控制:设计与稳定性分析[M].北京:国防工业出版社,1995.)
[16] WANG L. Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 1993, 1(2):146-155.
[17] JOO M G, LEE J S. A class of hierarchical fuzzy systems with constraints on the fuzzy rules[J]. IEEE Transactions on Fuzzy Systems, 2005, 13(2): 194-203.

高超声速飞行器纵向通道分层模糊自适应H_∞控制

Adaptive H_∞ control for longitudinal plane of hypersonic vehicle based on hierarchical fuzzy system

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 10

编辑推荐

Metrics

[1]	张立优, 马珺, 贾华宇. PID补偿的完全在线序贯极限学习机控制器在输入扰动系统自适应控制中的应用[J]. 计算机应用, 2018, 38(4): 1213-1217.
[2]	陈浩广, 王银河. 基于扩展BP神经网络的一类非线性系统自适应控制设计[J]. 计算机应用, 2017, 37(6): 1670-1673.
[3]	高俊山, 施兰兰, 邓立为. 永磁同步电动机的有限时间自适应混沌控制[J]. 计算机应用, 2017, 37(2): 597-601.
[4]	张坤, 高晓光. 无人机三维航路自适应跟踪控制[J]. 计算机应用, 2016, 36(9): 2631-2635.
[5]	柴秀丽武相军. 一类参数未知超混沌系统的广义函数投影滞后同步[J]. 计算机应用, 2013, 33(03): 734-738.
[6]	夏国清廖粤峰王璐. 四旋翼无人飞行器混合控制系统研究[J]. 计算机应用, 2013, 33(03): 858-861.
[7]	李桂秋陈志旺. 基于不确定逼近的机械手间接自适应鲁棒预测控制[J]. 计算机应用, 2012, 32(06): 1707-1712.
[8]	周树杰张天平. 时变时滞非仿射大系统的分散自适应控制[J]. 计算机应用, 2011, 31(02): 478-482.
[9]	钱厚斌张天平. 一类非线性时滞系统的鲁棒间接自适应控制[J]. 计算机应用, 2009, 29(1): 101-104,.
[10]	高钦和王孙安. 基于IGPC的时变大时滞系统自适应控制[J]. 计算机应用, 2007, 27(6): 1508-1509.

高超声速飞行器纵向通道分层模糊自适应H∞控制

Adaptive H∞ control for longitudinal plane of hypersonic vehicle based on hierarchical fuzzy system

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 10

编辑推荐

Metrics

高超声速飞行器纵向通道分层模糊自适应H_∞控制

Adaptive H_∞ control for longitudinal plane of hypersonic vehicle based on hierarchical fuzzy system