A Sliding Mode DITC Cruise Control for SRM With Steepest Descent Minimum Torque Ripple Point Tracking

Switched reluctance motors are frequently quoted for electric and hybrid electric vehicle traction. However, high torque ripple is a common restraining disadvantage. This article proposes a design method for model following sliding mode as cruise controller, considering a direct instantaneous torque...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2022-01, Vol.69 (1), p.151-159
Main Authors: de Paula, Marcelo Vinicius, Barros, Tarcio Andre dos Santos
Format: Article
Language:English
Subjects:
Algorithms
Back electromotive force
Controllers
Cruise control
Direct instantaneous torque control (DITC)
Electric vehicles
electric vehicles traction
Electromagnetics
Electromotive forces
Hybrid electric vehicles
Inductance
Mathematical model
Maximum power tracking
model following sliding mode control
Optimization
Parameter robustness
Ripples
Sliding mode control
switched reluctance machines (SRMs)
Torque
Torque measurement
torque ripple minimization
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Summary:Switched reluctance motors are frequently quoted for electric and hybrid electric vehicle traction. However, high torque ripple is a common restraining disadvantage. This article proposes a design method for model following sliding mode as cruise controller, considering a direct instantaneous torque controller as part of the controlled plant. In addition, a back-electromotive force cancelation is incorporated by modifying the torque reference using the developed model. A minimum torque ripple point tracking (MTRPT) that actuates over the turn- off angle is proposed through an adaptation from the steepest descent maximum power point tracking algorithm. The turn- on angle is also controlled, aiming for enhanced torque regulation. The cruise controller is Lyapunov stable, robust to parameter variations, and is capable of rejecting load disturbances. Experimental results show that the MTRPT convergence time is around \text{2.5 s} for a load step and around \text{1.625 s} for a speed step. Besides, the speed tracking capability of the proposed system returns an MAE of 0.9223% and 1.0884% for the ECE-R15 and for the EUDC driving schedules, respectively. The MTRPT is capable of reducing the torque ripple by 14.6% in low speeds (ECE-R15) and by 10.1% at high speeds (EUDC). The results show that the proposed system is well founded for electric and hybrid electric vehicles applications.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2021.3050349