Abstract: This study introduces an approach to optimize the gains of a PID controller for a class of Time Delay Systems using directed tabu search algorithm. Metaheuristic applications to control theory have been a wide found topic of interest for research. Many research work have been done in choosing the proper choice of the parameters of the PID controller. The PID controller designed using the hybridized Tabu Search scheme guarantees boundedness of the closed loop system behaviour. In this study, attempt has been made to compare results of PID tuning obtained based on directed tabu search algorithm which is made continuous using Nelder Mead Method and adaptive random search algorithm. The algorithm used gives improved performance for an exhaustive class of dead time processes comparatively better than Luyben, Visioli, Chidambaram, Kookos and Syrcos.
Kanthaswamy Ganapathy and Jovitha Jerome, 2010. Control of Dead Time Systems Using Improved Tabu Search. International Journal of Soft Computing, 5: 177-184.