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Article type: Research Article
Authors: Falkner, C.M. | Heck, B.S.;
Affiliations: Department of Engineering, Arkansas Tech University, Russellville, AR 72801, USA | School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA. Tel.: +1 404 894 3145; Fax: +1 404 894 4641; E-mail: [email protected]
Note: [] Corresponding author.
Abstract: This article compares the performance of six output feedback control schemes used as power system stabilizers. The power system provides a good testbed for a comparison of modern control techniques since the power system has many nonlinearities and can be subjected to many perturbations. In addition, the power system model (even for a single generator-infinite bus system) can be of a size large enough to allow for nontrivial control design. The control schemes used in this article are fuzzy control, sliding mode control, model reference adaptive control, two Lyapunov-based robust control methods (one linear, the other nonlinear) and a standard linear PSS. Every effort was made to tune the controllers for similar nominal behavior. This was done so the controllers' ability to handle perturbations could be examined objectively. It is found in this article that the fuzzy and linear robust controllers had the best overall behavior with the least amount of control effort.
Journal: Journal of Intelligent and Fuzzy Systems, vol. 7, no. 3, pp. 307-324, 1999
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