摘要
对无约束动态矩阵控制（ＤＭＣ）算法进行了改进，提出了一种新的ＤＭＣ控制算法，即用遗传算法对ＤＭＣ的设计参数进行在线寻优，由优化结果来计算实际控制作用。与一般的定参数ＤＭＣ相比，其闭环性能更好，能有效地处理各种约束。仿真实例表明了该方法的有效。
A new algorithm is proposed for the design of unconstrained dynamic matrix control (DMC). The tuning parameters of DMC are optimized on line via genetic algorithms. The control action is computed by using the optimum parameters. Compared with the existing DMC algorithms with fixed parameters, the closed loop performance is significantly improved by the new algorithm, and various constraints can be handled successfully. Simulation examples demonstrate the validity of the new algorithm.
出处
《西南交通大学学报》
EI
CSCD
北大核心
1998年第5期581-585,共5页
Journal of Southwest Jiaotong University
基金
国家自然科学基金
关键词
在线控制
优化
预测控制
动态矩阵控制
遗传算法
on line control
optimization
predictive control
dynamic matrix control
genetic algorithm
