On simplified predictive control as a generalization of least-squares dynamic matrix control

被引:9
作者
Kember, GC
Dubay, R
Mansour, SE
机构
[1] Dalhousie Univ, Dept Engn Math, Halifax, NS B3J 2X4, Canada
[2] Univ New Brunswick, Dept Mech Engn, Fredericton, NB E3B 5A3, Canada
关键词
simplified predictive control; dynamic matrix control; continuous SPC;
D O I
10.1016/S0019-0578(07)60208-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Simplified predictive control (SPC) of a single-input single-output control scheme is compared to the more sophisticated, least-squares formulation of dynamic matrix control (DMC) and its move-suppressed variant (move-suppressed DMC) for a typical two time-step control horizon. A closed-loop, continuous analysis shows that the discrete form of SPC generalizes the discrete DMC algorithm, and its variants, to control responses faster than one-half the process response time while remaining well conditioned. (c) 2005 ISA - The Instrumentation, Systems, and Automation Society.
引用
收藏
页码:345 / 352
页数:8
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