Multiple models adaptive feedforward decoupling controller

作     者：Wang Xin Li Shaoyuan Wang Zhongjie 

作者机构：Inst. of Information & Control Technology Center of Electrical & Electronic Technology Shanghai Jiaotong Univ. Shanghai 200030 P. R. China Inst. of Automation Shanghai Jiaotong Univ. Shanghai 200030 P. R. China Dept. of Control Science & Engineering Tongji Univ. Shanghai 200092 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2005年第16卷第4期

页      面：837-842页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 081104[工学-模式识别与智能系统] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(70201004 60474051) National"863"HighTechnologyProject(2003AA412310) theChinaPostdoctoralScienceFoundation(20040350130) MunicipalTechnologicalSuperStarProjectofShanghai(04QMX1429) theSpecializedResearchFundfortheDoctoralProgramofHigherEducationofChina(20020248028) theKeyTechnologyandDevelopmentProgramofShanghaiScienceandTechnologyDepartment(04DZ11008) 

主　　题：multiple models feedforward decoupling indirect adaptive control. 

摘      要：When the parameters of the system change abruptly, a new multivariable adaptive feedforward decoupling controller using multiple models is presented to improve the transient response. The system models are composed of multiple fixed models, one free-running adaptive model and one re-initialized adaptive model. The fixed models are used to provide initial control to the process. The re-initialized adaptive model can be reinitialized as the selected model to improve the adaptation speed. The free-running adaptive controller is added to guarantee the overall system stability. At each instant, the best system model is selected according to the switching index and the corresponding controller is designed. During the controller design, the interaction is viewed as the measurable disturbance and eliminated by the choice of the weighting polynomial matrix. It not only eliminates the steady-state error but also decouples the system dynamically. The gtobel convergence is obtained and several simulation examples are presented to illustrate the effectiveness of the proposed controller.