Direct torque control versus indirect field-oriented control of induction motors for electric vehicle applications

被引:59
作者
Aktas, Mustafa [1 ]
Awaili, Khaled [2 ]
Ehsani, Mehrdad [3 ]
Arisoy, Aydemir [2 ]
机构
[1] Ondokuz Mayis Univ, Elect & Elect Engn, Samsun, Turkey
[2] Karabuk Univ, Elect & Elect Engn, Karabuk, Turkey
[3] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
来源
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH | 2020年 / 23卷 / 05期
关键词
Electric vehicle; Induction motors; Fuzzy control; Vector control; Sliding mode control; CONTROL STRATEGY; FUEL-CELL; HYBRID; SIMULATION; SYSTEMS; DRIVES;
D O I
10.1016/j.jestch.2020.04.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Performance and energy efficiency of induction motors (IM) used in electric vehicle (EV), by applying two control methods, namely the indirect field-oriented control (IFOC) method and the direct torque control (DTC) method, are compared. The tracking accuracy under changing vehicle speed circumstances for different speed controllers (classical PI, fuzzy logic, and sliding mode speed controllers) is studied. The EV including IM and battery is considered a nonlinear system. For modelling and simulation of EV components and for evaluating the controller performances, a Matlab m-file code package based only m-file coding is developed. The simulations reveal the advantage of DTC over IFOC and the superiority of the proposed sliding mode controller, in terms of improved tracking accuracy and increasing energy efficiency, and motivate the use of the proposed sliding mode controller for EV applications. (c) 2020 Karabuk University. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1134 / 1143
页数:10
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