改进的自适应广义预测极点配置加权控制器  

Improved Adaptive Generalized Predictive Poleplacement Weighted Controller

作　　者：陈立志[1] 蔡庆生[1] 方瑾[1] 张荃[2] 

机构地区：[1]中国科学技术大学计算机系,合肥230027 [2]吉林大学数学所,吉林130000

出　　处：《系统仿真学报》2002年第7期968-970,共3页Journal of System Simulation

基　　金：黑龙江省自然科学基金资助项目(F9812)

摘　　要：预测控制在应用时,一个值得注意的重要问题是如何减小计算量,保证实时性问题.文献[1]的广义预测极点配置加权控制器在这方面已有改进,但仍要在线求解闭环极点方程,计算量仍较大本文提出用计算量小的递推算法辨识上述方程参数的新方案.同时推广了文献[1][2]有关Diophantine方程的递推算法.应用表明本文方案的有效性.An important problem worthy of being noticed is how to decrease calculative quantity and ensure real-time problems while the application of predictive control. The generalized predictive poleplacement weighted controller of the literature has been improved in this aspect, but it is still required to solve closed loop pole equations on-line, and the calculative quantity is still large. In this paper, a new scheme is proposed, which uses recursive algorithm with small calculative quantity to identify parameters of above-said equations, and at the same time, the recursive algorithm about Diophantine equations of literatures is popularized. The application indicates the validity of the scheme.

关 键 词：加权控制器 广义预测控制 极点配置 自适应控制 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]