Speed sensorless vector controlled induction motor drive based stator and rotor resistances estimation taking core losses into account

In this paper, the maximum power point (MPP) of photovoltaic (PV) for vector control of an induction motor (IM) driving water is achieved. This paper implements and analyzes the maximum power point tracking (MPPT) in one stage. The vector control scheme for an induction motor has been introduced to improve the reliability of the PV system. Furthermore, the Adaptive incremental conductance (AINC) method has been applied to track the maximum power point (MPP) of the PV plant. Additionally, the principles of vector control of an induction motor are used for voltage source inverter fed induction motor pumping system. The control scheme is simulated and validated considering the environmental conditions such as solar radiation and temperature. The scheme has been validated through MATLAB/SIMULINK. The obtained results and analysis authorize that, the proposed control system is accurate and effective. In addition, the results show that, the induction motor drive is stable during dynamic and steady-state conditions.

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“…where , and . and the actual currents , and have been inputs to hysteresis comparator [37,38]. The electromagnetic torque is defined as [9]:…”

Section: Vector Control On Induction Motormentioning

confidence: 99%

Adaptive MPPT of Water Photovoltaic Pumping System Based on Vector Controlled Induction Motor Drives

Sattar

Ahmed

AboZied

et al. 2021

Journal of Advanced Engineering Trends

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Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives

2021

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This paper introduces a novel sensorless model-predictive torque-flux control (MPTFC) for two-level inverter-fed induction motor (IM) drives to overcome the high torque ripples issue, which is evidently presented in model-predictive torque control (MPTC). The suggested control approach will be based on a novel modification for the adaptive full-order-observer (AFOO). Moreover, the motor is modeled considering core losses and a compensation term of core loss applied to the suggested observer. In order to mitigate the machine losses, particularly at low speed and light load operations, the loss minimization criterion (LMC) is suggested. A comprehensive comparative analysis between the performance of IM drive under conventional MPTC, and those of the proposed MPTFC approaches (without and with consideration of the LMC) has been carried out to confirm the efficiency of the proposed MPTFC drive. Based on MATLAB‎®‎ and Simulink® from MathWorks® ‎(2018a, Natick, MA, 01760-2098 USA) simulation results, the suggested sensorless system can operate at very low speeds and has the better dynamic and steady-state performance. Moreover, a comparison in detail of MPTC and the proposed MPTFC techniques regarding torque, current, and fluxes ripples is performed. The stability of the modified adaptive closed-loop observer for speed, flux and parameters estimation methodology is proven for a wide range of speeds via Lyapunov’s theorem.

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Speed sensorless vector controlled induction motor drive based stator and rotor resistances estimation taking core losses into account

Cited by 2 publications

References 19 publications

Adaptive MPPT of Water Photovoltaic Pumping System Based on Vector Controlled Induction Motor Drives

Adaptive MPPT of Water Photovoltaic Pumping System Based on Vector Controlled Induction Motor Drives

Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives

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