系统工程学报
繫統工程學報
계통공정학보
JOURNAL OF SYSTEMS ENGINEERING
2009年
6期
641-646
,共6页
非线性大系统%组合自适应模糊控制器%模糊逻辑系统%分散控制%滑模控制%自动公路系统
非線性大繫統%組閤自適應模糊控製器%模糊邏輯繫統%分散控製%滑模控製%自動公路繫統
비선성대계통%조합자괄응모호공제기%모호라집계통%분산공제%활모공제%자동공로계통
large-scale nonlinear system%combined adaptive fuzzy controller(CAFC)%fuzzy logic systerns%decentralized control%sliding mode control%automated highway system(AHS)
针对一类不确定非线性大系统提出了一种新的组合型自适应分散模糊滑模控制算法.借助模糊逻辑系统与滑模方法设计的控制器加权组合了间接与直接自适应两种模糊控制器,可以同时融合被控对象知识与控制知识两种模糊信息来提高自适应效果.在一类大系统框架下基于统一的格式提出了间接与直接自适应模糊控制设计方案,并进一步消除了现有各种相关控制算法的缺陷.闭环大系统被证明是一致渐近稳定的.该算法应用于自动公路系统车辆的跟随控制,仿真结果表明提出的组合型自适应模糊控制系统比通常间接或直接自适应模糊控制系统具有更好的跟踪性能.
針對一類不確定非線性大繫統提齣瞭一種新的組閤型自適應分散模糊滑模控製算法.藉助模糊邏輯繫統與滑模方法設計的控製器加權組閤瞭間接與直接自適應兩種模糊控製器,可以同時融閤被控對象知識與控製知識兩種模糊信息來提高自適應效果.在一類大繫統框架下基于統一的格式提齣瞭間接與直接自適應模糊控製設計方案,併進一步消除瞭現有各種相關控製算法的缺陷.閉環大繫統被證明是一緻漸近穩定的.該算法應用于自動公路繫統車輛的跟隨控製,倣真結果錶明提齣的組閤型自適應模糊控製繫統比通常間接或直接自適應模糊控製繫統具有更好的跟蹤性能.
침대일류불학정비선성대계통제출료일충신적조합형자괄응분산모호활모공제산법.차조모호라집계통여활모방법설계적공제기가권조합료간접여직접자괄응량충모호공제기,가이동시융합피공대상지식여공제지식량충모호신식래제고자괄응효과.재일류대계통광가하기우통일적격식제출료간접여직접자괄응모호공제설계방안,병진일보소제료현유각충상관공제산법적결함.폐배대계통피증명시일치점근은정적.해산법응용우자동공로계통차량적근수공제,방진결과표명제출적조합형자괄응모호공제계통비통상간접혹직접자괄응모호공제계통구유경호적근종성능.
A novel combined adaptive decentralized fuzzy sliding mode control algorithm is presented for a class of large-scale uncertain nonlinear systems.By means of fuzzy logic systems and a sliding mode method,the designed controller is a weighted combination of both indirect and direct adaptive fuzzy controllers(IAFC and DAFC)so that two kinds of fuzzy information,i.e.plant knowledge and control knowledge can be incorporated at the same time to raise adaptive effect.The indirect and direct adaptive fuzzy control design schemes are proposed in a united format under a large-scale systern framework,which further overcomes the drawbacks of the existing relative control algorithms.The closed-loop large-scale system is proven to be uniformly asymptotically stable.The algorithm is applied to the following control of vehicles in an automated highway system and simulation results show the proposed combined adaptive fuzzy control systems display better tracking performance than typical indirect or direct adaptive ones.