摘要
本文提出了特征结构下基于极点配置的多变量预测控制方法，该方法通过选择一组可调参数使各特征子系统的闭环极点达到预定的数值，进而计算出各特征子系统中的控制器参数．仿真试验证实了本文算法的有效性．
This paper proposes a framework for the multivariable Nyquist generalization of predictive control based on pole placement. The characteristic subsystem thus designed would have the desired closed-loop poles. This procedure can be accomplished by seleting a set of adjustable parameters. Furthermore, the control parameter polynomials of each subsystem can be easily determined. The simulation clearly demonstrates that the proposed algorithm is very effective.
出处
《自动化学报》
EI
CSCD
北大核心
1994年第5期610-615,共6页
Acta Automatica Sinica
关键词
预测控制
极点配置
多参数控制
Characteristic subsystem
multivariable system
closed-loop poles
predictive control.
