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

Zellouma, Dalal; Bekakra, Youcef; Benbouhenni, Habib

doi:10.1016/j.egyr.2023.10.035

Cited by 10 publications

(4 citation statements)

References 44 publications

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“…The suggested controller in this section uses fuzzy adaptive backstepping and parameter adaptive laws to ensure that all internal signals of the closed-loop system are uniformly ultimately bounded and to minimize filtered errors given in (31) to (34).…”

Section: Controller Designmentioning

confidence: 99%

“…Information on uncertainty models is required. [30][31][32][33][34] There is no need for an approximation for disturbance since it was addressed conceptually by mathematical procedures, saving the time required for the approximation.…”

Section: Our Control Scheme Other Approaches Corresponding Papersmentioning

confidence: 99%

“…This strategy is designed to handle all types of uncertainties and external disturbances that may arise in the system dynamics. This work is compared to existing works in the same area, as referenced in [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. The suggested research aims to address complex non-linear control issues with fewer assumptions compared to the existing literature.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to the references mentioned in [30][31][32][33][34], the proposed controller is more flexible, as it does not require any knowledge of the mathematical model. On the other hand, the suggested controller takes a systematic approach to handling unknown uncertainties and external disturbances.…”

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confidence: 99%

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Robust Control Based on Adaptative Fuzzy Control of Double-Star Permanent Synchronous Motor Supplied by PWM Inverters for Electric Propulsion of Ships

Ziane,

Zeghlache,

Benkhoris

et al. 2024

Mathematics

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This study presents the development of an adaptive fuzzy control strategy for double-star PMSM-PWM inverters used in ship electrical propulsion. The approach addresses the current and speed tracking challenges of double-star permanent magnet synchronous motors (DSPMSMs) in the presence of parametric uncertainties. Initially, a modeling technique employing a matrix transformation method is introduced, generating decoupled and independent star windings to eliminate inductive couplings, while maintaining model consistency and torque control. The precise DSPMSM model serves as the foundation for an unknown nonlinear backstepping controller, approximated directly using an adaptive fuzzy controller. Through the Lyapunov direct method, system stability is demonstrated. All signals in the closed-loop system are ensured to be uniformly ultimately bounded (UUB). The proposed control system aims for low tracking errors, while also mitigating the impact of parametric uncertainties. The effectiveness of the adaptive fuzzy nonlinear control system is validated through tests conducted in hardware-in-the-loop (HIL) simulations, utilizing the OPAL-RT platform, OP4510.

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Section: Controller Designmentioning

confidence: 99%