TL;DR
To examine the performance of the proposed method, a series of practical tests was conducted in the laboratory on a WPT system, and the results confirmed that the proposed method is effective in the cases above.
The problem of model uncertainty and the variation of modeling parameters of the motor is one of the key issues facing induction machine drives. Hence, the control strategy of this class of motors should cope with uncertainties and finally deliver accurate control results. However, on the other hand, convergence time i...
The use of SMC in the speed control of PMSM has attracted considerable attention in the literature due to its strong robustness against parameter uncertainties and external disturbances. However, the design of the reaching law in SMC remains a critical challenge, mainly because of the chattering phenomenon. Numerous co...
In this paper, an ultra-local model-based finite-time sliding mode control (ULM-FTSMC) method is developed for tracking quadrotor position and attitude in the presence of uncertainties and external disturbances. Based on an ultra-local model technique, the proposed ULM-FTSMC scheme consists of an adaptive neural networ...
To fulfill the dynamic and steady-state performance requirements of permanent magnet synchronous motors (PMSMs) in speed regulation, a practical prescribed-time fuzzy adaptive control approach is investigated. First, a novel continuously differentiable time-varying scaling function is constructed, which avoids the prob...
In the present study, a novel sliding mode controller (SMC) is proposed for robust and reliable voltage regulation in modern power systems. The proposed SMC is designed for a nonlinear model of an automatic voltage regulator (AVR) system having limiters in line with IEEE recommendations. The mathematical derivation of...
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