DocumentCode :
2393358
Title :
MPC and PID control based on Multi-Objective Optimization
Author :
Gambier, Adrian
Author_Institution :
Autom. Lab., Heidelberg Univ., Mannheim
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
4727
Lastpage :
4732
Abstract :
The design of sophisticated control systems have led in the past ten years to the necessity of satisfying more than one design criterion. Thus, it is natural to think that those criteria can be met in an optimal manner. If several criteria have simultaneously to be optimized, one is in presence of a multi-objective optimization problem. In this paper, many efforts to design the most popular control strategies, i.e. PID and MPC, by using multi-objective optimization techniques are reviewed. Both control strategies have dissimilar optimization characteristics and therefore, they can be considered as representative of two different multi-objective optimization problems, which are described including definitions, possible solutions, algorithms and available software implementations.
Keywords :
control system synthesis; optimisation; predictive control; three-term control; PID control; model predictive control; multi-objective optimization; sophisticated control system design; Algorithm design and analysis; Books; Constraint optimization; Control engineering; Control systems; Optimal control; Performance analysis; Pi control; Software algorithms; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4587241
Filename :
4587241
Link To Document :
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