Biometrics and Bioinformatics

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Genetic Algorithm Based Design of PI Controller for Bioreactors for Maximum Production Rate


Affiliations
1 Department of Electronics and Instrumentation Engineering, Annamalai University, India
2 Department of Chemical Engineering, Annamalai University, India
3 Electrical and Electronics Engineering, SASTRA University, Thanjavur, India
     

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PID(Proportional-Integral-Derivative) control is one of the earlier control strategies. It has simple control structure which was understood by plant operators and which they found relatively easy to tune. Many techniques have been developed to obtain the optimum PID parameters for a particular system. In this paper Genetic algorithms (GA) are proposed as a method for proportionalintegral (PI) parameters optimization for controlling a bioreactor in which cell growth follows Monod kinetics. The performance of the proposed controller has been compared with the performance of the internal model control (IMC) tuning scheme in terms of time domain specifications, servo and regulatory problems.


Keywords

Bioreactor, GA, IMC, PI Tuning.
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  • Genetic Algorithm Based Design of PI Controller for Bioreactors for Maximum Production Rate

Abstract Views: 132  |  PDF Views: 3

Authors

S. Srinivasan
Department of Electronics and Instrumentation Engineering, Annamalai University, India
T. Karunanithi
Department of Chemical Engineering, Annamalai University, India
S. M. Girirajkumar
Electrical and Electronics Engineering, SASTRA University, Thanjavur, India

Abstract


PID(Proportional-Integral-Derivative) control is one of the earlier control strategies. It has simple control structure which was understood by plant operators and which they found relatively easy to tune. Many techniques have been developed to obtain the optimum PID parameters for a particular system. In this paper Genetic algorithms (GA) are proposed as a method for proportionalintegral (PI) parameters optimization for controlling a bioreactor in which cell growth follows Monod kinetics. The performance of the proposed controller has been compared with the performance of the internal model control (IMC) tuning scheme in terms of time domain specifications, servo and regulatory problems.


Keywords


Bioreactor, GA, IMC, PI Tuning.