Comparative study between propulsion control system failures of an electrical vehicle piloted by FOC and by DTC using dual-induction-motors structure
 
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University of Batna 2
 
 
Submission date: 2020-04-19
 
 
Final revision date: 2020-06-22
 
 
Acceptance date: 2020-07-13
 
 
Online publication date: 2020-07-14
 
 
Publication date: 2020-09-02
 
 
Corresponding author
Salah Yahia Cherif   

University of Batna 2
 
 
Diagnostyka 2020;21(3):41-47
 
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ABSTRACT
This paper deals with a comparative study using numerical simulations between the failures effect caused by the speed sensor faults for a propulsion control system (PCS) of an electrical vehicle (EV) using dual-induction motors structure. The PCS strategies are achieved on two types of controls where the first one is done from a flux-oriented control (FOC) and the second one is conducted from a direct torque control (DTC). For an electric vehicle, we will often guarantee service continuity, in spite of the occurred faults such as an offset fault in speed sensor and a zero-feedback sensor speed fault which both are essentially needed in the structure of the PCS-EV. The occurred fault cited above might influence one of the dual induction motors which could be conducted an unbalance in the dual used motors and from which the control of the vehicle might be also lost. The results of the realized numerical simulations on the EV conducted by the PCS demonstrate clearly the impact of the so-called-fault. Thereafter, we can also appreciate the robustness using each used control propulsion system in despite of the occurred speed sensor fault.
 
REFERENCES (11)
1.
Correa FC, Eckert JJ, Silva LC, Santiciolli FM, Costa ES, Giuseppe Dedini F. Study of different electric vehicle propulsion system configuration. IEEE Vehicle power and propulsion Conference. 19-22 oct. 2015. https://doi.org/10.1109/VPPC.2....
 
2.
Mehrdad Md, Junaid Akhtar Md, Behera RK, ParidaSK. Propulsion system design of electric vehicle. 6th International conference on PESA, 15-17 Dec.2015. https://doi.org/10.1109/PESA.2....
 
3.
Xiao-Feng X, Guo-Feng L,Rong-Tai H. A Rotor field oriented vector control system for electric traction application. IEEE proceedings. Mexico, 2000; 1:294-299. https://doi.org/10.1109/ISIE.2....
 
4.
Lufei X, Guangqun N. Research on direct torque control of induction motor based on TMS320LF2407A. Elsevier B.V. Selection and/or Peer-review under responsibility of Garry Lee. 2012:513-519. https://doi.org/10.1016/j.phpr....
 
5.
Jianguo S, Quanshi C. Research of electric vehicle IM controller based on space vector modulation direct torque control. International Conference on Electrical Machines and Systems, 27-29 Sept., 2005. https://doi.org/10.1109/ICEMS.....
 
6.
Benoudjit D, Nait-Said N, Nait-Said M-S. Differential speed control of a propulsion system using fractional-order controller. Electromotion Journal. April-June 2007; 14(2):91-98.
 
7.
HaddounA, Benbouzid MEH, Diallo D, Abdessemed R, GhouiliJ, Srairi K. Design and implementation of an electric differential for traction application. IEEE Vehicle power and propulsion conference.1-3sept, 2010. https://doi.org/10.1109/VPPC.2....
 
8.
Yu Y, Wang Z, Xu D, Zhou T, Xu R. Speed and current sensor fault detection and isolation based on adaptive observers for IM drives. Journal of power Electronics. 2014; 14(5): 967-979. https://doi.org/10.6113/JPE.20....
 
9.
Najafabadi TA, Salmasi FR, Jabehdar-Maralani P. Detection and isolation of speed- DC-link voltage-, and current-sensor faults based on an adaptive observer in induction-motor drives. IEEE Trans. Ind. Electron. 2011; 58(5): 1662-1672. https://doi.org/10.1109/TIE.20....
 
10.
Bouakoura M, Nait-Said N, Nait-Said M-S. Speed sensor faults diagnosis in an induction motor vector controlled drive. Acta Electrotechnica et Informatica. 2017; 17(1): 49-57. https://doi.org/10.15546/aeei-....
 
11.
Sepe RB, Morrison C, Miller JM. Fault-tolerant operation of induction motor drives with automatic controller reconfiguration. ASM International Practical failure analysis. 2003; 3(1): 64-70. https://doi.org/10.1007/BF0271....
 
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