Design and Control of SR Drive System using ANFIS

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This paper presents the modeling and simulation of an adaptive neuro-fuzzy inference strategy (ANFIS) to control the speed of the switched Reluctance motor .The SRM control is thus a difficult to be in use in the nonlinear applications, particularly in the control of speed in automobiles. The Neuro-fuzzy system incorporates the advantages of both neural-network and fuzzy system. This controller is great additional effectual than Fuzzy logic and neural network based controller, while it has the ability of self-learning the gain values and acclimatizes accordingly to situations, thus accumulating more flexibility to the controller. A complete simulation, well-designed to the nonlinear model of Switched Reluctance Drive was premeditated using MATLAB /SIMULINK.

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ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
Design and Control of SR Drive System using
ANFIS
ABSTRACT:
This paper presents the modeling and simulation of an adaptive neuro-fuzzy inference strategy
(ANFIS) to control the speed of the switched Reluctance motor .The SRM control is thus a
difficult to be in use in the nonlinear applications, particularly in the control of speed in
automobiles. The Neuro-fuzzy system incorporates the advantages of both neural-network and
fuzzy system. This controller is great additional effectual than Fuzzy logic and neural network
based controller, while it has the ability of self-learning the gain values and acclimatizes
accordingly to situations, thus accumulating more flexibility to the controller. A complete
simulation, well-designed to the nonlinear model of Switched Reluctance Drive was
premeditated using MATLAB /SIMULINK.
KEYWORDS:
1. SR Drive
2. ANFIS
3. ANN
4. FLC
SOFTWARE: MATLAB/SIMULINK

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