Abstract
PID optimal parameters selection have been extensively studied, in order to improve some strict performance requirements for complex systems. Ziegler-Nichols methods give estimated values for these parameters based on the system’s transient response. Therefore, a fine tuning of these parameters is required to improve the system’s behavior. In this work, genetic programming is used to optimize the three parameters K p , T i and T d , after been tuned by Ziegler-Nichols method, to control a high-order process, a large time delay plant and a highly non-minimum phase process. The results were compared to some other tuning methods, and showed to be promising.
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de Almeida, G.M., Rocha e Silva, V.V., Nepomuceno, E.G., Yokoyama, R. (2005). Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_37
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DOI: https://doi.org/10.1007/11539902_37
Publisher Name: Springer, Berlin, Heidelberg
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