Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0005-1098(99)00192-2
Title: Parallel structure and tuning of a fuzzy PID controller
Authors: Xu, J.-X. 
Hang, C.-C. 
Liu, C.
Issue Date: May-2000
Source: Xu, J.-X.,Hang, C.-C.,Liu, C. (2000-05). Parallel structure and tuning of a fuzzy PID controller. Automatica 36 (5) : 673-684. ScholarBank@NUS Repository. https://doi.org/10.1016/S0005-1098(99)00192-2
Abstract: In this paper, a parallel structure of fuzzy PID control systems is proposed. It is associated with a new tuning method which, based on gain margin and phase margin specifications, determines the parameters of the fuzzy PID controller. In comparison with conventional PID controllers, the proposed fuzzy PID controller shows higher control gains when system states are away from equilibrium and, at the same time, retains a lower profile of control signals. Consequently, better control performance is achieved. With the proposed formula, the weighting factors of a fuzzy logic controller can be systematically selected according to the plant under control. By virtue of using the simplest structure of fuzzy logic control, the stability of the nonlinear control system can be analyzed and a sufficient BIBO stability condition is given. The superior performance of the proposed controller is demonstrated through an experimental example.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/62581
ISSN: 00051098
DOI: 10.1016/S0005-1098(99)00192-2
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

140
checked on Dec 4, 2017

Page view(s)

68
checked on Dec 8, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.