引用本文: | 黄益绍,龙科军,吴敏,何勇,余伶俐.分散混杂自适应模糊H∞控制器及其在自动化公路系统中的应用[J].控制理论与应用,2011,28(9):1163~1168.[点击复制] |
HUANG Yi-shao,LONG Ke-jun,WU Min,HE Yong,YU Ling-li.Decentralized hybrid adaptive fuzzy H-infinity controller and its application to automated highroad systems[J].Control Theory and Technology,2011,28(9):1163~1168.[点击复制] |
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分散混杂自适应模糊H∞控制器及其在自动化公路系统中的应用 |
Decentralized hybrid adaptive fuzzy H-infinity controller and its application to automated highroad systems |
摘要点击 2855 全文点击 1632 投稿时间:2008-12-21 修订日期:2011-03-07 |
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DOI编号 10.7641/j.issn.1000-8152.2011.9.CCTA081423 |
2011,28(9):1163-1168 |
中文关键词 非线性大系统 混杂自适应模糊控制 分散控制 H1跟踪性能 自动化公路系统 |
英文关键词 large-scale nonlinear systems hybrid adaptive fuzzy control(HAFC) decentralized control H-infinity tracking performance automated highroad systems |
基金项目 国家自然科学基金资助项目(61104014, 60425310, 60974045);“十一五”国家科技支撑计划资助项目(2009BAG13A02); 第四十九批中国博士后科学基金资助项目(20110491270, 20110491272); 中南大学博士后科学基金资助项目. |
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中文摘要 |
本文针对一类SISO不确定非线性大系统, 提出了一种混杂间接和直接自适应分散模糊H1控制器. 通过组合模糊系统和H1跟踪技术开发的分散自适应模糊控制算法避免了控制设计中含有的符号函数. 两种自适应模糊控制器的组合消除了它们各自均不能够同时融合被控对象知识与控制知识的局限. 闭环大系统被证明是稳定的, 且具有H1跟踪性能. 该算法应用于自动化公路系统中车辆的纵向跟随控制, 仿真结果表明混杂自适应模糊H1控制系统的跟踪性能更好而相应的控制幅值却更小. |
英文摘要 |
A novel decentralized hybrid indirect and direct adaptive fuzzy H-infinity controller is proposed for a class of uncertain large-scale single-input single-output(SISO) nonlinear systems in this paper. By the combination of fuzzy systems and H-infinity tracking technique, no sign function is utilized in the decentralized adaptive fuzzy control algorithm. The integration of two types of adaptive fuzzy controllers removes the limitation on the individual incorporation of plant knowledge and control knowledge. We prove that the closed-loop large-scale system is stable and possessed of H-infinity tracking performance. The algorithm is applied to the longitudinally following control of vehicles within automated highroad systems(AHS) and simulation results demonstrate better tracking properties of the hybrid adaptive fuzzy H-infinity control system with smaller control magnitudes. |