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This work deals with minimizing fluctuations of propulsion force and improving the motion quality in a linear switched reluctance motor. In order to minimize the jerks in the moving part of the motor, a new profile is used to generate an appropriate reference speed profile. Then, a simple fuzzy logic system which is able to overcome the uncertainties problem in nonlinear systems is designed and applied to the motor. The fuzzy control system can regulate the motor performance so that it tracks the reference speed with minimum error and fluctuation. The system is designed and its efficiency is shown through simulation and experimental tests in different performance situations. The obtained results confirm that the proposed strategy outperforms other conventional methods. [ABSTRACT FROM AUTHOR]

This work deals with minimizing fluctuations of propulsion force and improving the motion quality in a linear switched reluctance motor. In order to minimize the jerks in the moving part of the motor, a new profile is used to generate an appropriate reference speed profile. Then, a simple fuzzy logic system which is able to overcome the uncertainties problem in nonlinear systems is designed and applied to the motor. The fuzzy control system can regulate the motor performance so that it tracks the reference speed with minimum error and fluctuation. The system is designed and its efficiency is shown through simulation and experimental tests in different performance situations. The obtained results confirm that the proposed strategy outperforms other conventional methods. [ABSTRACT FROM AUTHOR]