非最小相位逐维定位多模型自适应解耦控制器  

Multiple models adaptive decoupling controller for nonminimum phase system using DBD technology

作　　者：王昕[1,2] 杨辉[2] 李少远[3] 郑益慧[1] 

机构地区：[1]上海交通大学电工与电子技术中心,上海200240 [2]华东交通大学电气与电子工程学院,南昌330013 [3]上海交通大学自动化系,上海200240

出　　处：《控制与决策》2009年第2期206-211,共6页Control and Decision

基　　金：国家自然科学基金项目(60504010;60774015;60864004);国家863计划项目(2008AA04Z129);教育部科学技术研究重点项目(208071);江西省自然科学基金项目(0611006)

摘　　要：针对多变量系统中多个参数同时跳变导致模型数目巨大、计算时间长等问题,提出了采用逐维定位技术的多模型自适应解耦控制器.该方法将多维空间的并行寻优问题转化为多个一维空间的串行寻优问题,可大大减少系统模型集的数量.针对非最小相位系统,将系统的耦合作用视为可测干扰,采用前馈方法予以消除.最后给出全局收敛性分析.仿真结果表明当采用相同数目的模型时,其控制效果明显优于常规多模型控制器.In a multivariable system, when multiple parameters jump simultaneously, a multiple models adaptive decoupling controller using dimension-by-dimension （DBD） is presented to solve the problems such as too many models, long computing time and so on. To find the optimal parameter, adopts one-dimension optimization method in series is adopted instead of multiple-dimension optimization method in parallel, which can reduce the number of the system fixed models greatly. For a non-minimum phase system, the interaction of the system is viewed as measurable disturbance and deeoupled by using feedforward strategy. Finally, the global convergence is obtained. The simulation example shows that if the same number of the fixed models is used, system transient response and decoupling result are improved.

关 键 词：多模型 逐维定位 解耦 非最小相位 参数跳变 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]