Robust synergetic-sliding mode-based-backstepping control of induction motor with MRAS technique

Autor: Dalal Zellouma, Youcef Bekakra, Habib Benbouhenni
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Energy Reports, Vol 10, Iss , Pp 3665-3680 (2023)
Druh dokumentu: article
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2023.10.035
Popis: This paper proposes a new speed control of an induction motor (IM) drive, which is based the combination between the backstepping control (BC) and synergetic-sliding mode controller (SSMC). In addition, it was proposed to use the Model Reference Adaptation System (MRAS) to estimate the IM speed with the aim of reducing speed error and increasing the performance and efficiency of the proposed system. IM has already been considered for many applications, especially traction systems that mainly use proportional-integral controllers. However, such types of controllers do not handle well in the event of a system malfunction. These may reduce the performance of the control system. Therefore, a robust nonlinear control, namely BC-SSMC with MRAS, is proposed. This control relies on combining the advantages of both BC and SSMC to control the IM speed. Also, the MRAS was used to replace the speed sensor with the aim of reducing the periodic maintenance of this sensor and thus reducing the size and cost of the system. The robustness of the BC-SSMC-MRAS was analyzed with respect to the occurrence of system malfunctions, as it is considered the most robust compared to BC. The simulation results performed on the 1.5 kW IM showed the effectiveness of the BC-SSMC-MRAS in enhancing the system durability, reducing the torque ripples and improving the current quality. In all tests performed, the speed overshoot value was improved by 100 % compared to the BC. Also, the torque and flux ripples in the event of a machine malfunction are improved by 50 % and 77.14 %, respectively, compared to the BC. In the speed change test, the response time and steady-state error of speed values were improved by 5.26 % and 67.56 %, respectively. So all these ratios prove the superiority of the BC-SSMC-MRAS over the BC in terms of improving system performance.
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