Abstract
The performance of the PID controller may deteriorate when the operating condition of a process fluctuates. A robust parameter tuning method to improve the PID controller performance under bounded model uncertainty is presented. First an enhanced performance criterion is proposed to reduce the overshoot and large control move. Then the robust tuning problem is formulated as a Min-Max optimization. Particle Swarm Optimization (PSO) is applied to solve the nonlinear, non-differentiable problem. Examples are given to demonstrate the effectiveness of the proposed method. Compared with other PID tuning methods, the result shows that better performance can be achieved with the model parameter fluctuation.
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Zhao, J., Li, T., Qian, J. (2005). Application of Particle Swarm Optimization Algorithm on Robust PID Controller Tuning. 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_118
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DOI: https://doi.org/10.1007/11539902_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28320-1
Online ISBN: 978-3-540-31863-7
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