Constrained receding-horizon predictive control
作者:
D.W.Clarke,
R.Scattolini,
期刊:
IEE Proceedings D (Control Theory and Applications)
(IET Available online 1991)
卷期:
Volume 138,
issue 4
页码: 347-354
年代: 1991
DOI:10.1049/ip-d.1991.0047
出版商: IEE
数据来源: IET
摘要:
Constrained receding-horizon predictive control (CRHPC) is intended for demanding control applications where conventional predictive control designs can fail. The idea behind CRHPC is to optimise a quadratic function over a ‘costing horizon’ subject to the condition that the output matches the reference value over a further constraint range. Theorems show that the method stabilises general linear plants (e.g. unstable, nonminimum-phase, dead-time). Simulation studies demonstrate good behaviour with even nearly unobservable systems (where generalised predictive control is ineffective) and that control-costing is a particularly effective tuning parameter.
点击下载:
PDF
(813KB)
返 回