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Vol. 97, Issue 10, October 2008, pp.22-33

 

 

Bullet

Genetic Algorithms for Level Control in a Real Time Process

 

1S. M. GirirajKumar, 2R. Sivasankar, 3T. K. Radhakrishnan, 4V. Dharmalingam and 5N. Anantharaman

1,4School of Electrical and Electronics Engineering, SASTRA University,

Thanjavur- 613402, Tamil Nadu, India

2Department of Production Engineering, National Institute of Technology,

Tiruchirapalli-620015, Tamil Nadu, India

3,5Department of Chemical Engineering, National Institute of Technology,

Tiruchirapalli-620015, Tamil Nadu, India

E-mail: girirajkumar@eie.sastra.edu

 

 

Received: 28 March 2008 /Accepted: 22 October 2008 /Published: 31 October 2008

 

Abstract: Measurement of level, temperature, pressure and flow parameters are very vital in all process industries. A combination of a few transducers with a controller, that forms a closed loop system leads to a stable and effective process. Level control of a spherical tank is a complex issue because of the non-linear nature of the tank. The model for such a real time process is identified and validated .The need for improved performance of the process has led to the development of optimal controllers. Genetic Algorithms (GA) is an evolutionary algorithm that is proposed for use in this respect. Determination or tuning of the Proportional-Integral (PI) parameters continues to be important as these parameters have a great influence on the stability and performance of the control system. The methodology and efficiency of proposed method are compared with that of Internal Model Control (IMC) and proves to be better.

 

Keywords: Transducers, Controller, PI tuning, IMC, GA

 

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