NDLI: Fuzzy intervention in PID controller design

Content Provider	IEEE Xplore Digital Library
Author	Gharieb, W. Nagib, G.
Copyright Year	2001
Description	Author affiliation: Fac. of Eng., Ain Shams Univ., Cairo, Egypt (Gharieb, W.)
Abstract	This paper presents a recent development of PID controllers. The proposed controller design aims to overcome the drawbacks of the classical PID controller, such as: integrator windup due to the saturation in the actuator and the slow response to reject disturbances. Classical approaches to treat the windup problem in PID controller design are discussed and analyzed, such as the conditional integration method, limited integrator method, tracking anti-windup and modified tracking anti-windup. The proposed controller consists of basic PID blocks: proportional, derivative, and integral actions plus a fuzzy anticipation block to modify the control signal according to operating conditions. The fuzzy anticipation block provides feed-forward correction terms to speed-up the system response and to retain the desired output. This block receives all different signals in PID block and generates anti-windup action to improve the system behavior. This action also compensates rapidly the disturbance effect on the system response. The proposed control design methodology is tested on a numerical example via simulation. The simulation work is carried out using MATLAB/SIMULINK environment. This environment is very easy to elaborate the fuzzy toolbox in simulation. The obtained results affirm the potential of the proposed control methodology to add self-autonomy to the system behavior.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	1639
Ending Page	1643
File Size	385886
Page Count	5
File Format	PDF
ISBN	0780370902
DOI	10.1109/ISIE.2001.931953
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-06-12
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Three-term control Windup PD control Pi control Proportional control Actuators Fuzzy systems Feedforward systems Signal generators
Content Type	Text
Resource Type	Article

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