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Content Provider | IEEE Xplore Digital Library |
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Author | Elshafei, A.L. El-Metwally, K. Shaltout, A. |
Copyright Year | 2000 |
Description | Author affiliation: Dept. of Electr. Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates (Elshafei, A.L.) |
Abstract | This paper proposes a new power system stabilization technique based on adaptive fuzzy systems. The adaptive fuzzy power system stabilizer (AFPSS) is a fuzzy logic based stabilizer that has the capability to adaptively change its rule base online. The change in the fuzzy rule base is done using the variable structure direct adaptive control algorithm. This algorithm has two merits: 1) it has a good performance in the training phase as it makes use of the initial rule base defined for the fuzzy logic stabilizer; and 2) it has a robust estimator since it depends on a variable structure technique. The adaptive nature of the new controller significantly reduces the rule base size and improves its performance. |
Starting Page | 3959 |
Ending Page | 3963 |
File Size | 404275 |
Page Count | 5 |
File Format | |
ISBN | 0780355199 |
ISSN | 07431619 |
DOI | 10.1109/ACC.2000.876965 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2000-06-28 |
Access Restriction | Subscribed |
Rights Holder | American Automatic Control Council(AACC) |
Subject Keyword | Fuzzy logic Power system analysis computing Adaptive systems Fuzzy systems Adaptive control Fuzzy control Robustness Phase estimation Programmable control Size control |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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