Obtaining an Optimum PID Controller Via Adaptive Tabu Search

Authors:
Deacha Puangdownreong;Sarawut Sujitjorn
Affiliations:
Department of Electrical Engineering, Faculty of Engineering, South-East Asia University, Bangkok, 10160, Thailand;School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

An application of the Adaptive Tabu Search (ATS), an intelligent search method in industrial control domain, is presented. The ATS is used to search for the optimum controller's parameters denoted as proportional, integral, and derivative gains. The obtained controllers are tested against some hard-to-be-controlled plants. The results obtained are very satisfactory.