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Power Electronics Handbook, 4th Edition by Muhammad H. Rashid

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37

Artificial Neural Network Applications in Power Electronics and Electric Drives

Baburaj Karanayil    The University of New South Wales, Sydney, NSW, AustraliaMuhammed F. Rahman    The University of New South Wales, Sydney, NSW, Australia

Abstract

In classical control systems, knowledge of the controlled system (plant) is required in the form of a set of algebraic and differential equations, which analytically relate inputs and outputs. However, these models can become complex, rely on many assumptions, may contain parameters that are difficult to measure, or may change significantly during operation as in the case of the rotor-flux-oriented control induction motor drive. Classical control theory suffers from some limitations due to the ...

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