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PID self-tuning control using a fuzzy adaptive mechanism

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4 Author(s)
He, S.Z. ; Nat. Univ. of Singapore, Kent Ridge, Singapore ; Tan, S.H. ; Xu, F.L. ; Wang, P.Z.

The authors present a novel proportional-integral-derivative (PID) self-tuning control using a fuzzy adaptive mechanism for regulating industrial processes. The essential idea is to parameterize a Ziegler-Nichols-like tuning formula by a single parameter α, then to use an online fuzzy inference mechanism to self-tune the parameter. A comparative simulation study on various processes, including processes with long dead-time and non-minimum-phase processes, shows that the performance of the scheme improves considerably, in terms of set-point and bad disturbance responses, over the PID controllers well-tuned using both the classical and the more recent refined Ziegler-Nichols formula

Published in:

Fuzzy Systems, 1993., Second IEEE International Conference on

Date of Conference: