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Design of Fixed Structure Optimal Robust Controller Using Genetic Algorithm and Particle Swarm Optimization
Balwinder Singh Surjan
Dr. Balwinder Singh Surjan, Department, of Electrical Engineering PEC University of Technology, Chandigarh, India.
Manuscript received on September 29, 2012. | Revised Manuscript received on October 11, 2012. | Manuscript published on October 30, 2012. | PP: 187-190 | Volume-2 Issue-1, October 2012.  | Retrieval Number: A0785102112 /2012©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper genetic algorithm (GA) has been applied for for the design of the structure specified optimal robust controllers. The controller structure is pre-specified and the controller design problem is posed as constrained nonlinear optimization problem. The parameters of the chosen controller are obtained solving the nonlinear constrained optimization problem. The performance indices which have been used in the design are integral absolute error (IAE), integral square error (ISE), integral time absolute error (ITAE) and integral time square error (ITSE). The constraints are frequency domain performances related with robust stability and disturbance rejection. 
Keywords: Genetic algorithm, fixed structure controller, ISTE,ISE, IAE, nonlinear optimization, optimal robust controller.