DocumentCode :
2696827
Title :
A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem
Author :
Xu, Lihong ; Hu, Qingsong ; Goodman, Erik D.
Author_Institution :
Tongji Univ., Shanghai
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
4446
Lastpage :
4453
Abstract :
A new two-layer multi-objective compatible control algorithm is proposed for a class of control problems with two conflicting control objectives, control error and energy consumption. The first layer is devoted to obtaining a user´s desired controlled objectives region, assured to be not only achievable but also Pareto-optimal. The second layer is devoted to designing an effective controller by optimizing the most important controlled objective (such as the energy consumption), subject to system constraints from the controlled objectives region in the first layer. This control algorithm provides an effective robust controller design method for multi-objective control problems with precise models and uncertain initial conditions. Simulations illustrate that the two-layer multi-objective compatible control (MOCC) algorithm has some advantages over traditional multi-objective control methods.
Keywords :
Pareto optimisation; control system synthesis; optimal control; robust control; search problems; Pareto-optimal front search; compatible energy-saving control algorithm; conflicted two-layer multiobjective control problem; robust controller design method; Constraint optimization; Control systems; Costs; Energy consumption; Error correction; Heating; Humidity; Hydrogen; Spraying; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4425053
Filename :
4425053
Link To Document :
بازگشت