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Robust Sensorless Control against Thermally Degraded Speed Performance in an im Drive Based Electric Vehicle

journal contribution
posted on 2024-11-02, 21:47 authored by Syed Muhammad Nawazish AliSyed Muhammad Nawazish Ali, M Hossain, Dong Wang, Kaiyuan Lu, Peter Rasmussen, Vivek Sharma, Muhammad Kashif
This article investigates and proposes an efficient control design to address the degradation in the mechanical speed of a traction machine drive (TMD) in an electric vehicle (EV) caused by thermal effects during its operation. Variations in the operating as well as ambient temperature cause unexpected uncertainties in TMD parameters such as stator and rotor resistances, which results in significant degradation in EV's speed performance capability. To mitigate this problem, an output feedback robust linear parameter varying (LPV) controller-observer set is designed using H$ control theory that enhances the EV's speed performance in field-oriented control (FOC) frame. The internal stability of the closed-loop control and the $L_{2}$ gain bound are ensured by linear matrix inequalities. The performance of the proposed control technique is compared with that of conventional FOC, sliding mode control (SMC) and higher order sliding mode control (HOSMC) to validate its efficacy and advantages. The robustness of the proposed control technique is tested for an EV operation against the Worldwide Harmonised Light Vehicles Test Procedure (WLTP) Class 3 driving cycle. The nonlinear MATLAB simulation results guarantee the effectiveness of the proposed controller-observer set. These results are verified experimentally on an induction machine drive setup.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/TEC.2020.2968547
  2. 2.
    ISSN - Is published in 08858969

Journal

IEEE Transactions on Energy Conversion

Volume

35

Number

8966506

Issue

2

Start page

896

End page

907

Total pages

12

Publisher

IEEE

Place published

United States

Language

English

Copyright

© 2020 IEEE

Former Identifier

2006119462

Esploro creation date

2022-12-04