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Title: A neuro-fuzzy controller applying to a Cuk converter
Authors: Wong, LK
Leung, FHF 
Tam, PKS
Keywords: Computer simulation
Control nonlinearities
Fuzzy control
Fuzzy sets
Heuristic methods
Knowledge based systems
Mathematical models
Membership functions
Power converters
Pulse width modulation
Issue Date: 1995
Publisher: IEEE
Source: 1995 IEEE IECON : proceedings of the 21st International Conference on Industrial Electronics, Control, and Instrumentation : November 6-10, 1995, Orlando, Florida, USA, p. 446-450 How to cite?
Abstract: A dc-dc power converter is difficult to control due to its non-linearities and parameter uncertainties. To tackle the problem, a neuro-fuzzy controller is proposed. The controller utilizes the error voltage and the change of error voltage as inputs, and outputs the duty cycle of the PWM switch for controlling the converter. Instead of relying on expert knowledge, some heuristic rules are derived with the membership functions of the fuzzy variables tuned by a neural network. After an off-line training, the neuro-fuzzy controller can be applied to regulate a Cuk converter. Simulation results are to be given to demonstrate the performance of the controller.
ISBN: 0-7803-3026-9
Rights: © 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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