Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/80481
Title: Fuzzy self-tuning of PID controllers
Authors: He, S.-Z.
Tan, S. 
Xu, F.-L.
Wang, P.-Z. 
Keywords: adaptive control
fuzzy control
Fuzzy self-tuning
Issue Date: 25-May-1993
Source: He, S.-Z.,Tan, S.,Xu, F.-L.,Wang, P.-Z. (1993-05-25). Fuzzy self-tuning of PID controllers. Fuzzy Sets and Systems 56 (1) : 37-46. ScholarBank@NUS Repository.
Abstract: This paper presents a novel fuzzy self-tuning PID control scheme for regulating industrial processes. The essential idea of the scheme is to parameterize a Ziegler-Nichols-like tuning formula by a single parameter α, then to use an on-line fuzzy inference mechanism to self-tune the parameter. The fuzzy tuning mechanism, with process output error and error rate as its inputs, adjusts α in such a way that it speeds up the convergence of the process output to a set-point yr, and slows down the divergence trend of the output from yr. A comparative simulation study on various processes, including a second-order process, processes with long dead-time and non-minimum phase processes, shows that the performance of the new scheme improves considerably, in terms of set-point and load disturbance responses, over the PID controllers well-tuned using both the classical Ziegler-Nichols formula and the more recent Refined Ziegler-Nichols formula. © 1993.
Source Title: Fuzzy Sets and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/80481
ISSN: 01650114
Appears in Collections:Staff Publications

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