基于多模型切换的阶梯式广义预测控制器  

Stair-like generalized predictive controller based on multiple models switching

作　　者：王振雷[1] 李小田[1] 王昕[2] 

机构地区：[1]华东理工大学 化工过程先进控制和优化技术教育部重点实验室,上海200237 [2]上海交通大学电工与电子技术中心,上海200240

出　　处：《河南科技学院学报（自然科学版）》2013年第3期101-108,共8页Journal of Henan Institute of Science and Technology(Natural Science Edition)

基　　金：国家高技术研究发展计划重点项目(2007AA041402);高等学校学科创新引智计划项目(B08021);上海市重点学科建设项目(B504)

摘　　要：针对一类模型参数跳变系统,提出一种基于多模型切换的阶梯式广义预测控制算法.该算法采用多个固定模型和两个自适应模型并行辨识系统的动态特性.多个固定模型用以提高系统的暂态性能,可重新赋初值的自适应模型用以消除系统的稳态误差,常规自适应模型用以保证系统的稳定性.在每个采样时刻基于切换性能指标得到最优的局部模型,实现系统的全局控制.最后给出了全局稳定性证明及收敛性分析.仿真结果表明:控制效果明显优于单一模型的广义预测控制器.To deal with a system with jumping parameters,a stair-like generalized predictive control algorithm based on multiple models switching is adopted.Multiple fixed models and two adaptive models are established to identify the dynamic characteristic of the system in paralle1.Multiple fixed models are used to improve the transient performance,while the re-initialized adaptive model can eliminate the steady-state error,the conventional adaptive model ensure the stability of the system at the same time.At each sampling time,the stair-like generalized predictive controller is designed based on the best model which is selected according to the switching index.Then,the global control is achieved.Finally,the stability and convergence analysis are also given.Compared with the convenient single model generalized predictive controller,control effect of the proposed method above is better.

关 键 词：多模型 阶梯式控制 广义预测控制 自适应 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]