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Title of Journal: Neural Comput Applic

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Abbravation: Neural Computing and Applications

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Springer London

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1433-3058

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Speed control of SRM supplied by photovoltaic syst

Authors: A S Oshaba E S Ali S M Abd Elazim
Publish Date: 2015/09/23
Volume: 28, Issue: 2, Pages: 365-374
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Abstract

This paper proposes a speed control of switched reluctance motor supplied by photovoltaic system The proposed design of the speed controller is formulated as an optimization problem Ant colony optimization ACO algorithm is employed to search for the optimal proportional integral PI parameters of the proposed controller by minimizing the time domain objective function The behavior of the proposed ACO has been estimated with the behavior of genetic algorithm GA in order to prove the superior efficiency of the proposed ACO in tuning PI controller over GA Also the behavior of the proposed controller has been estimated with respect to the change of load torque variable reference speed ambient temperature and radiation Simulation results confirm the better behavior of the optimized PI controller based on ACO compared with optimized PI controller based on GA over a wide range of operating conditions

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