Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

Application of neural network based fuzzy control to power system generator

By: Saitoh, K.; Iwamoto, S.;

1991 / IEEE / 0-7803-0065-3

Description

This item was taken from the IEEE Periodical ' Application of neural network based fuzzy control to power system generator ' The authors present an application of fuzzy control to a synchronous machine in a power system using the neural network theory. In this method, the membership function is determined by using the learning process of the neural network. For the RHS (right hand side) of fuzzy rules, they propose to use the optimal controls so that they can control the system even if the system is operated at some other operating points than the linearized point. The machine power output is considered as the change of operating points. Although the control using the proposed method is not so good as the control using the optimal control method at the linearized point, one can control the power system by the proposed method at wider ranges than the optimal control method.<>