Abstract
Proportional-Integral-Derivative (PID) controllers are widely used in process control industry for years. Those plants are in general, slow-response with moderate or low damping characteristics. Zeigler-Nichols(ZN) tuning methods are some of design approaches for finding PID controllers. Basilio and Matos(BM) pointed out a systematic way to design PID to meet transient performance specifications. As for the low-damping, slow-response plants, the BM approach also failed to find the controller. We suggest two approaches to overcome this afore-mentioned difficulty. These two approaches are approach of using approximate 2nd order zeros to cancel the embedded plant poles, and GA-based fine-tuning approach.
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Chou, P., Hwang, T. (2004). Design of PID Controllers Using Genetic Algorithms Approach for Low Damping, Slow Response Plants. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_13
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DOI: https://doi.org/10.1007/978-3-540-28648-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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