Title :
Model predictive control based on state space model with dead time
Author_Institution :
Yamatake-Honeywell Co. Ltd., Tokyo, Japan
Abstract :
A state-space formulation of multi-variable model predictive control has already been developed. In this existing method, inequality constraints on the manipulated variables and outputs are satisfied as in Quadratic Dynamic Matrix Control (QDMC) (1985) and related algorithms. However, this control strategy does not take it into account the existence of dead time and, consequently it can not be applied to systems featuring dead time. So, in this paper, we propose to modify this optimal control method and to make it possible to accommodate dead time
Keywords :
digital simulation; discrete time systems; matrix algebra; multivariable control systems; optimal control; predictive control; quadratic programming; state-space methods; Quadratic Dynamic Matrix Control; dead time; inequality constraints; manipulated variables; model predictive control; multi-variable model; optimal control; state space model; state-space formulation; Control systems; Equations; Manipulator dynamics; Optimal control; Predictive control; Predictive models; Sampling methods; Size measurement; State estimation; State-space methods;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
Conference_Location :
Hamamatsu
Print_ISBN :
0-7803-1880-3
DOI :
10.1109/IMTC.1994.351979
