Abstract

Two intelligent controllers are designed for a static compensator (STATCOM) connected to a single machine infinite bus power system (SMIB): a novel nonlinear adaptive controller using artificial neural networks based on the indirect adaptive control technique and a Takagi-Sugeno type fuzzy controller. Both schemes provide nonlinear adaptive control with better performance compared to the conventional PI controllers. Simulation results are presented to compare the performances of these controllers with that of the conventional PI controllers.

Meeting Name

2nd International Conference on (Conf. Publ. No. 498) Power Electronics, Machines and Drives, 2004. (PEMD 2004)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Takagi-Sugeno Fuzzy Logic Controller; Indirect Adaptive Control; Neurocontrol; Power System; Static Compensator

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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