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Development Of Induction Motor Torque Control Algorithm for Electric Vehicles on Inclined Roads

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dc.contributor.author USER, Yavuz
dc.contributor.author TABANLI, Nilay
dc.date.accessioned 2019-11-25T14:46:44Z
dc.date.available 2019-11-25T14:46:44Z
dc.date.issued 2017
dc.identifier.citation ULLAH, Ikram, ASHRAF, Muhammad, REHMAN, Abdur. Comparison of Reference Current Generation Techniques for Shunt Active Power Filter [Resursă electronică]. In: SIELMEN 2017: Proceedings of the 11-th international conference on electromechanical and power systems, 11-13 octombrie, 2017. Chișinău, 2017, pp. 502-507. ISBN 978-1-5386-1846-2. en_US
dc.identifier.isbn 978-1-5386-1846-2
dc.identifier.uri http://repository.utm.md/handle/5014/7180
dc.description Abstract & References en_US
dc.description.abstract Direct torque control using space vector modulation (DTC-SVM) is one of the most popular control methods of induction motor for electric vehicle (EV). This paper proposes DTC-SVM with improved deadbeat control. During uphill and downhill, instant torque changes is problem for drivers. The principle of the developed method is a solution to overcome the torque need on unexpected road conditions. In this case; PI controllers and space vector modulator are replaced by deadbeat controller to maintain flux in the controller boundary while reducing torque error. EV’s motor propulsion system is influenced by vehicle dynamics and road conditions. For this reason, EV dynamics analysis are done. Simulations are implemented in the MATLAB/Simulink. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject electrical vehicles en_US
dc.subject deadbeat control en_US
dc.subject space vector modulation en_US
dc.subject torque control en_US
dc.subject vehicle dynamics en_US
dc.title Development Of Induction Motor Torque Control Algorithm for Electric Vehicles on Inclined Roads en_US
dc.type Article en_US


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    11-13 Oct. 2017

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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