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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dai, J.J. Ghandakly, A.A. |
| Copyright Year | 1995 |
| Description | Author affiliation: Operation Technol. Inc., USA (Dai, J.J.) |
| Abstract | This paper presents a new decentralized control algorithm, the generalized multivariable minimum variance (GMMV) control. The controller makes use of only local variables as feedback to generate control signals, and the external system dynamics are accounted for by a supplementary disturbance input term. The algorithm is combined with an online multivariable model identification method to form a self-tuning regulator (STR). As a practical application, a GMMV based power system stabilizer (PSS) is designed and tested by both computer simulation and on-line implementation. Results prove that the proposed new control algorithm and PSS are superior to the conventional and single variable based PSS schemes. |
| Starting Page | 1641 |
| Ending Page | 1648 |
| File Size | 695289 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780330080 |
| ISSN | 01972618 |
| DOI | 10.1109/IAS.1995.530501 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-10-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System testing Power system dynamics Feedback Power system simulation Distributed control Control systems Signal generators Application software Adaptive control Power system modeling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering |
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