基于动态面的自适应模糊输出反馈控制

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (3): 646-652.

基于动态面的自适应模糊输出反馈控制

王芹, 张天平

扬州大学信息工程学院自动化专业部, 江苏, 扬州, 225009

收稿日期:2007-11-28 修回日期:2008-01-25 出版日期:2009-03-20 发布日期:2010-01-03
作者简介:王芹(1982- ),女,硕士研究生,主要研究方向为自适应控制,模糊控制等.E-mail:tpzhang@yzu.edu.cn
基金资助:
国家自然科学基金资助课题(60774017;60874045)

Adaptive fuzzy output-feedback control using dynamic surface control

WANG Qin, ZHANG Tian-ping

Dept. of Automation, Coll. of Information Engineering, Yangzhou Univ., Yangzhou 225009, China

Received:2007-11-28 Revised:2008-01-25 Online:2009-03-20 Published:2010-01-03

摘要/Abstract

摘要： 针对一类具有未知死区和控制方向的非线性系统,基于I型模糊系统的逼近能力,提出了一种稳定自适应模糊输出反馈控制方案。该方案将动态面技术和输出反馈控制相结合,避免了过参数化问题,从而无需引入调节函数。通过理论分析证明了闭环控制系统所有信号半全局一致终结有界;且选取适当的设计常数,跟踪误差可收敛到一个小的邻域内。仿真结果表明了该方案的有效性。

Abstract: A stable adaptive fuzzy output-feedback control scheme is developed for a class of nonlinear systems with unknown dead-zone and control directions.The design is based on the approximation capability of the first type fuzzy systems.By combining dynamic surface control technique with output-feedback control,the overparametrization in the output-feedback control design is avoided and need not introduce the tuning function.It is proved that the proposed method is able to guarantee the semi-global uniform ultimate boundedness of all signals in the closed-loop system and a small tracking error by choosing design constants appropriately.Simulation results demonstrate the effectiveness of the approach.

中图分类号:

TP273

王芹, 张天平. 基于动态面的自适应模糊输出反馈控制[J]. Journal of Systems Engineering and Electronics, 2009, 31(3): 646-652.

WANG Qin, ZHANG Tian-ping. Adaptive fuzzy output-feedback control using dynamic surface control[J]. Journal of Systems Engineering and Electronics, 2009, 31(3): 646-652.

参考文献

[1] Kanellakolmulos I,Kokotovic P V,Morse A S.Systematic design of adaptive controllers for feedback linearizable systems[J].IEEE Trans.on Automatic Control,1991,36(11):1241-1253.
[2] Zhang T,Ge S S,Hang C C.Adaptive neural network control for strict-feedback nonlinear systems using backstepping design[J].Automatica,2000,36(12):1835-1846.
[3] Ge S S,Wang C.Direct adaptive NN control of a class of nonlinear systems[J].IEEE Trans.on Neural Networks,2002,13(1):214-221.
[4] Swaroop D,Hedrick J K,Yip PP,et al.Dynamic surface control for a class of nonlinear systems[J].IEEE Trans.on Automatic Control,2000,45(10):1893-1899.
[5] Wang D,Huang J.Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strictfeedback form[J].IEEE Trans on Neural Networks,2005,16(1):195-202.
[6] Kanellakopoulos I,Kokotovic P V,Morse A S.Adaptive output-feedback control of a class of nonlinear systems[C].Proc.of 30th IEE Conference on Decision and Control,Brighton,1991:1082-1087.
[7] Marino R,Tomei P.Global adaptive output-feedback control of nonlinear systems,Part Ⅰ:Linear parametrization[J].IEEE Trans.on Automatic Control,1993,33(7):1239-1245.
[8] Krstic M,Kanellakopoulos I,Kokotocic P V.Nonlinear and adaptive control design[M].New York:Wiley,1995:327-369.
[9] Krstic M,Kokotovic P V.Adaptive nonlinear output feedback schemes with Marino-Tomei controller[J].IEEE Trans.on Automatic Control,1996,41(2):274-280.
[10] Ding Z T.Global adaptive output feedback stabilization of nonlinear systems of any relative degree with unknown high-frequency gains[J].IEEE Trans.on Automatic Control,1998,43(10):1442-1446.
[11] Zhou J,Wen C Y,Zhang C J.Adaptive output control of uncertain nonlinear systems with unknown backlash[C].Proc.of the American Control Conference,New York,2007:498-503.
[12] Ye X D.Adaptive nonlinear output-feedback control with unknown high-frequency gain sign[J].IEEE Trans.on Automatic Control,2001,46(1):112-115.
[13] 郑云峰,杨盐生.带有未知虚拟控制增益符号的自适应输出反馈控制[J].控制与决策,2006,21(11):1298-1302.
[14] 张天平,裔扬,梅建东.带有未知死区模型的鲁棒自适应模期控制[J].控制与决策,2006,21(4):367-370.

[1]	杨文奇, 卢建华, 姜旭, 王元鑫. 基于改进ESO的四旋翼姿态自抗扰控制器设计[J]. 系统工程与电子技术, 2022, 44(12): 3792-3799.
[2]	徐海祥, 胡聪, 余文曌, 姚国全. 输入约束下的浮力调节式UUV变深控制[J]. 系统工程与电子技术, 2022, 44(11): 3496-3504.
[3]	刘满, 张宏军, 徐有为, 冯欣亮, 冯玉芳. 群队级兵棋实体智能行为决策方法研究[J]. 系统工程与电子技术, 2022, 44(8): 2562-2569.
[4]	史浩然, 卢发兴, 祁江鑫, 杨光. 基于辅助信标的无人机协同目标跟踪[J]. 系统工程与电子技术, 2022, 44(7): 2302-2310.
[5]	高升, 马广富, 郭延宁. 基于自适应未知输入观测器的多故障快速重构[J]. 系统工程与电子技术, 2022, 44(7): 2364-2373.
[6]	冯建鑫, 王雅雷, 王强, 胥彪. 基于改进粒子群算法的快速反射镜自抗扰控制[J]. 系统工程与电子技术, 2021, 43(12): 3675-3682.
[7]	刘星, 王文双, 赵建印, 朱敏. 自适应在线增量ELM的故障诊断模型研究[J]. 系统工程与电子技术, 2021, 43(9): 2678-2687.
[8]	李春辉, 马健, 杨永建, 肖冰松, 邓有为, 盛涛. 基于修正的自适应平方根容积卡尔曼滤波算法[J]. 系统工程与电子技术, 2021, 43(7): 1824-1830.
[9]	曹晓明, 魏勇, 衡辉, 沈智鹏. 海流扰动下无人水下航行器的动态面反演轨迹跟踪控制[J]. 系统工程与电子技术, 2021, 43(6): 1664-1672.
[10]	张跃坤, 贾晓洪, 张晓阳, 王炜强. 基于有限时间收敛干扰观测器的探导控一体化设计[J]. 系统工程与电子技术, 2021, 43(5): 1326-1334.
[11]	高昂, 董志明, 李亮, 宋敬华, 段莉. MADDPG算法并行优先经验回放机制[J]. 系统工程与电子技术, 2021, 43(2): 420-433.
[12]	顾凌枫, 何明, 陈国友, 季敏惠, 刘锦涛. 无人机集群系统弹性研究[J]. 系统工程与电子技术, 2021, 43(1): 156-162.
[13]	丁春山. 传感器管理技术研究现状与展望[J]. 系统工程与电子技术, 2020, 42(12): 2761-2770.
[14]	付焕森, 崔宝同, 庄波, 张建中. 一类具输入时滞的分布参数系统移动控制[J]. 系统工程与电子技术, 2020, 42(11): 2600-2606.
[15]	时维国, 国明. 鲸鱼优化相关向量机的网络控制系统变采样周期调度[J]. 系统工程与电子技术, 2020, 42(10): 2348-2355.