Authors: Preethi Sreelatha; Sanjeevi Gandhi
Addresses: Department of Electronics and Instrumentation, Karunya University, Coimbatore-641114, India ' Department of Electronics and Instrumentation, Karunya University, Coimbatore-641114, India
Abstract: In this paper, a method for controlling multivariable process is presented. The system under investigation is a two tank interacting process. A decoupler is designed in order to minimise the interaction effects. The model reference adaptive controller is then designed for the process with decoupler block. The tuning parameter gamma is optimised using genetic algorithm. GA optimised model reference adaptive controller was then compared with conventional controllers. The performance comparisons have been made in terms of rise time, settling time and performance criteria.
Keywords: multi input multi output; MIMO; model reference adaptive control; MRAC; two inputs two outputs; proportional-integral controller; PI control; genetic algorithms; interacting tanks; multivariable processes; process control; decoupler block; rise time; settling time; performance criteria.
International Journal of Engineering Systems Modelling and Simulation, 2014 Vol.6 No.1/2, pp.80 - 85
Accepted: 17 Sep 2013
Published online: 23 Dec 2013 *