多模型分层递阶自适应前馈解耦控制器  

Hierarchical multiple model adaptive feedforward decoupling controller

作　　者：王昕[1] 李少远[1] 

机构地区：[1]上海交通大学自动化研究所,上海200030

出　　处：《控制与决策》2005年第1期17-22,54,共7页Control and Decision

基　　金：国家自然科学基金项目(60074004);国家863计划项目(2002AA412130);中国博士后科学基金项目(20040350130).

摘　　要：针对参数跳变系统,提出一种基于分层递阶结构的多模型自适应前馈解耦控制器.该控制器采用多模型方法来提高系统的暂态性能;采用自适应方法消除系统的稳态误差,采用分层递阶结构减少系统模型集的数量和计算时间.为了在分布式计算机集散控制系统(DCS)中得到应用,该控制器根据耦合的形成机理和DCS的结构特点,将系统变量之间的耦合作用视为可测干扰,采用前馈结构予以消除.通过加权多项式的选取,不仅实现了极点配置,而且可以动态解耦.最后给出了全局收敛性分析.仿真结果表明,与常规多模型控制方法相比,大大减少了固定模型的数量;而当模型数目相同时,系统的暂态响应、解耦效果都大为改善.A hierarchical multiple model adaptive decoupling controller is designed for systems with jumping parameters. Multiple fixed models are adopted to improve the transient response. The adaptive methods are used to eliminate the steady state error and a hierarchical structure is employed. In the distributed control system (DCS), according to the principle of the interactions and the structure characteristic of DCS, the interaction of the system is viewed as measurable disturbance and eliminated using feedforward strategy. By the choice of the weighting polynomial matrix, it not only places the poles of the closed loop system arbitrarily, but also decouples the system dynamically. The global convergence is obtained. Compared with the convenient multiple models adaptive controller, it reduces the number of the fixed models greatly. If the same number of the fixed models is used, system transient response and decoupling result are improved.

关 键 词：多模型 分层递阶 间接自适应 前馈 解耦 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]