A comparative study of speed control based on MPC and PI-controller for Indirect Field oriented control of induction motor drive

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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“…The researchers of [25] compared FCS-MPC with a PI-PWM control scheme, proving that although the tuning of the MPC was easier, it gave an 80% higher average phase current ripple and up to 20% for flux/torque control. Other authors [26] have performed a comparison of CCS-MPC with a conventional PI in a simulation that resulted in the better robustness of the MPC against a load disturbance. Some improvements in FCS-MPC have been achieved in [27,28], where partition optimization and a predictive strategy that reduced the common-mode voltage at the machine terminals were used, respectively.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control Design and Hardware in the Loop Validation for an Electric Vehicle Powertrain Based on Induction Motors

Uralde,

Barambones,

Artetxe

et al. 2023

Electronics

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Electric vehicles (EV) have gained importance in recent years due to environmental pollution and the future scarcity of fossil resources. They have been the subject of study for many years, where much work has focused on batteries and the electric motor (EM). There are several types of motors in the market but the most widely used are induction motors, especially squirrel cage motors. Induction motors have also been extensively studied and, nowadays, there are several control methods used—for example, those based on vector control, such as field-oriented control (FOC) and direct torque control (DTC). Further, at a higher level, such as the speed loop, several types of controllers, such as proportional integral (PI) and model predictive control (MPC), have been tested. This paper shows a comparison between a Continuous Control Set MPC (CCS-MPC) and a conventional PI controller within the FOC method, both in simulation and hardware in the loop (HIL) tests, to control the speed of an induction motor for an EV powered by lithium-ion batteries. The comparison is composed of experiments based on the speed and quality of response and the controllers’ stability. The results are shown graphically and numerically analyzed using performance metrics such as the integral of the absolute error (IAE), where the MPC shows a 50% improvement over the PI in the speed tracking performance. The efficiency of the MPC in battery consumption is also demonstrated, with 5.07 min more driving time.

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Particle swarm optimization base explicit model predictive controller for limiting shaft torque

Novin

Ghadiri

2017

2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)

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A comparative study of speed control based on MPC and PI-controller for Indirect Field oriented control of induction motor drive

Cited by 10 publications

References 4 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

Model Predictive Control Design and Hardware in the Loop Validation for an Electric Vehicle Powertrain Based on Induction Motors

Particle swarm optimization base explicit model predictive controller for limiting shaft torque

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