Evolutionary optimization based tuning for multivarible process

Author

Sahoo, Pradosh Ranjan ; Ghosh, Sudip

Author_Institution

Dept. of Electr. Eng., Nat. Inst. of Technol., Rourkela, India

fYear

2013

fDate

13-15 Dec. 2013

Firstpage

1

Lastpage

5

Abstract

In this paper evolutionary algorithms (EAs) such as genetic algorithm (GA) and differential evolution (DE) optimization are implemented for design of optimal multiloop PI controller with the minimum integral absolute error (IAE) criterion. As a case study multiloop PI control structure for binary distillation column plant described by Wood and Berry, having 2 inputs and outputs has been taken. Simulation is carried out for GA and DE with minimization of IAE and the performances are compared for statistical measures like best, mean and standard deviation of results and, average computation time over 20 independent trials.

Keywords

PI control; genetic algorithms; multivariable systems; optimal control; IAE criterion; binary distillation column plant; differential evolution optimization; evolutionary algorithms; evolutionary optimization based tuning; genetic algorithm; minimum integral absolute error; multiloop PI control structure; multivariable process; optimal multiloop PI controller; standard deviation; statistical measures; Genetic algorithms; Linear programming; MIMO; Optimization; Process control; Tuning; Vectors; Evolutionary Algorithm; Integral Absolute Error; Multiloop; PID controller;

fLanguage

English

Publisher

ieee

Conference_Titel

India Conference (INDICON), 2013 Annual IEEE

Conference_Location

Mumbai

Print_ISBN

978-1-4799-2274-1

Type

conf

DOI

10.1109/INDCON.2013.6725849

Filename

6725849