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
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