Multiobjective optimization of heat transfer plant using decision table controller and genetic algorithm

Author

Grundler, Darko

Author_Institution

Fac. of Textile Technol., Zagrab, Croatia

Volume

1

fYear

2000

fDate

2000

Firstpage

517

Abstract

A genetic algorithm based procedure for direct decision table adjustment is proposed to solve a multiobjective dynamic discrete-time optimal control problem. Multilevel coordinate control is introduced, the task of which is to coordinate and tune the control units according to the multiobjective overall criterion. The optimization of the cascade process according to the multiobjective overall criterion for minimal energy consumption and satisfying output constraints is carried out by means of a genetic algorithm. The proposed evolutionary optimization procedure of the multiobjective multilevel control is characterized by the simplicity of use and inherent adaptability

Keywords

decision tables; discrete time systems; genetic algorithms; heat exchangers; heat transfer; optimal control; cascade process; decision table controller; direct decision table adjustment; genetic algorithm; heat transfer plant; minimal energy consumption; multilevel coordinate control; multiobjective dynamic discrete-time optimal control problem; multiobjective optimization; output constraint satisfaction; Algorithm design and analysis; Error correction; Fuzzy control; Genetic algorithms; Heat transfer; Industrial plants; Optimal control; Robustness; Temperature control; Textile technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2000. Proceedings of the 2000 Congress on

Conference_Location

La Jolla, CA

Print_ISBN

0-7803-6375-2

Type

conf

DOI

10.1109/CEC.2000.870340

Filename

870340