NDLI: Identification of self-tuning fuzzy PI type controllers with reduced rule set

Content Provider	IEEE Xplore Digital Library
Author	Chopra, S. Mitra, R. Kumar, V.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Eng., Indian Inst. of Technol., Uttranchal, India (Chopra, S.; Mitra, R.; Kumar, V.)
Abstract	A common way of developing fuzzy controllers is by determining the rule base and some appropriate fuzzy sets over the controller's input and output ranges. A simple and efficient approach, namely, fuzzy subtractive clustering is used to identify the rule base needed to realize a self-tuning fuzzy PI-type controller. This technique provides a mechanism to obtain the reduced rule set covering, the whole input/output space as well as membership functions for each input variable. In this paper, the fuzzy subtractive clustering approach is shown to reduce 49 rules to 5 rules maintaining almost the same level of performance. Simulation on a wide range of linear and nonlinear processes is carried out and results are compared with self-tuning fuzzy PI type controllers without clustering in terms of several performance measures such as peak overshoot, settling time, rise time, integral absolute error (IAE) and integral-of-time multiplied absolute error (ITAE). In addition the responses due to step set-point change and load disturbance are studied and in each case the proposed scheme shows an identical performance with less number of rules.
Starting Page	537
Ending Page	542
File Size	901506
Page Count	6
File Format	PDF
ISBN	0780388127
DOI	10.1109/ICNSC.2005.1461247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Fuzzy sets Clustering algorithms Fuzzy systems Error correction Control systems Input variables Time measurement Process control Mathematical model
Content Type	Text
Resource Type	Article

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