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.
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Puangdownreong, D., Sujitjorn, S. (2007). Obtaining an Optimum PID Controller Via Adaptive Tabu Search. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71629-7_84
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DOI: https://doi.org/10.1007/978-3-540-71629-7_84
Publisher Name: Springer, Berlin, Heidelberg
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