Refined Double Search Optimization Methodology to Design PID Controller for Unstable Systems

Manic, K. Suresh; Sarath, A.; Rajinikanth, V.
July 2014
Australian Journal of Basic & Applied Sciences;Jul2014, Vol. 8 Issue 10, p44
Academic Journal
Nature inspired algorithms are widely proposed in the literature to solve a variety of engineering optimization problems. In this article, a novel methodology called Refined Double Search Optimization (RDSO) is proposed to design the PID controller for a class of unstable process models using heuristic algorithms. RDSO is a two stage search scheme, in which the initial search is used to generate a database of all possible controller parameters in search universe 'U' and the second search stage is used to identify global optimal value from database. Main advantage of the proposed method is that, it provides the minimum and maximum limit (search boundary) for controller parameters in the search universe 'U', which keeps the unstable process in a firm stable region. Three simulated examples are presented to demonstrate the effectiveness of proposed methodology using recent heuristic algorithms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Bacterial Foraging Optimization (BFO) algorithm. The proposed method offers smooth reference tracking and disturbance rejection performances.


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