A Review on Speed Control of Permanent Magnet Synchronous Motor Drive Using Different Control Techniques

Sakunthala, S.; Kiranmayi, R.; Mandadi, P. Nagaraju

doi:10.1109/icpects.2018.8521574

Cited by 36 publications

(5 citation statements)

References 3 publications

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“…Additionally, ANNs allow for faster computation rates, enabling real-time control applications. Overall, these advantages highlight ANNs as a possible method for achieving the best control performance in PMSMs [12][13][14][15].…”

Section: Introductionmentioning

confidence: 97%

Neural Network-Driven Sensorless Speed Control of EV Drive Using PMSM

Mohan,

Agrawal,

Jately

et al. 2023

Mathematics

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To reduce pollution and energy consumption, particularly in the automotive industry, energy saving is the main concern, and hence, Electric vehicles (EVs) are getting significantly more attention than vehicles with internal combustion engines (IC engines). Electric motors used in Electric Vehicles (EVs) must have high efficiency for maximum utilization of the energy from the batteries or fuel cells. Also, these motors must be compact, lightweight, less expensive and very easily recycled. Further, to obtain better dynamic performance, various motor control strategies are used to control the speed of the motor. And to have increased reliability, sensorless speed control techniques that offer sufficiently high performance are used. The sensorless speed control techniques are largely divided into three groups: state observer methods, indirect measurement methods and saliency-based methods. Generally, the state observer uses back emf or flux linkage to estimate the speed of the motor. Since the back emf is directly proportional to the rotor speed, at low-speed back emf based method will give poor performance. The current-based Model Reference Adaptive System (MRAS) model is also popular for estimating low speed; however, assessments deteriorate during high performance applications such as EV. This paper presents an artificial neural network (ANN)-deployed sensorless speed control of permanent magnet synchronous motor (PMSM) drive used in EVs. In this paper, the estimation of speed using the current-based MRAS model is discussed and compared with the proposed ANN-based controller, which shows significant improvement in the performance of EV motor drives. The MATLAB simulation and experimental results are presented to validate the proposed algorithm.

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Section: Introductionmentioning

confidence: 97%

Neural Network-Driven Sensorless Speed Control of EV Drive Using PMSM

Mohan,

Agrawal,

Jately

et al. 2023

Mathematics

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“…The vector approach allows for the development of different versions of the algorithms, which can be classified into the following groups [17,18]: field-oriented control (FOC) [16,19,20] and direct torque control (DTC) [21,22]. In FOC, the control algorithm transforms the measured values of currents and rotor positions into a system of two coordinates related to the rotor.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Computational Accuracy on the Quality of Direct Drive Control

Góra,

Petko,

Gac

et al. 2024

Electronics

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One of the main aspects of the control system development process for direct drives is the selection of the required computational accuracy while establishing its impact on the quality of the control. Understanding this relationship allows designers to consciously determine the system structure at the early stages of controller development, which enables the optimal usage of hardware resources. This paper analyzes the results of experimental research on the influence of computational accuracy on the quality of control of direct drives. During the carried-out research, several vector controllers with different computational precision were implemented using Field-Programmable Gate Arrays (FPGAs). The experiments were carried out on a dedicated research stand for testing direct drives. Test scenarios included position and trajectory monitoring under various torque loads. To assess the control quality, the measures based on the deviations from the value set by the controller were proposed. In this paper, the results of experiments have been presented in the form of values of the measures in relation to the computational accuracy. The obtained results proved that satisfactory drive operation parameters can be obtained despite the relatively low accuracy of calculations in the control algorithm.

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“…A summary of these control techniques is depicted in Figure 1. Field-oriented control (FOC) is widely recognized as a prevalent technique in the field [3,4]. FOC involves the transformation of three-phase AC current signals into a twocoordinate system through the utilization of the Clarke transformation.…”

Section: Introductionmentioning

confidence: 99%

Decoupled Speed and Flux Control of a Three-Phase Permanent Magnet Synchronous Motor under an Open-Circuit Fault Using a PR Current Controller

2023

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Presented in this article is a method for decoupling the speed and flux control of a three-phase permanent magnet synchronous motor (PMSM) during an open-circuit fault (OCF) using a current controller based on proportional resonant (PR) control techniques. The suggested control approach is relatively simple to implement and maintains good motor operation during the open circuit. PMSM performance under pre-fault, OCF, and post-fault conditions were investigated using Matlab/Simulink and an experimental setup based on a dSPACE DS1104. The conducted investigations provide strong evidence supporting the efficacy and resilience of the suggested control approach during OCF conditions.

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A Review on Speed Control of Permanent Magnet Synchronous Motor Drive Using Different Control Techniques

Cited by 36 publications

References 3 publications

Neural Network-Driven Sensorless Speed Control of EV Drive Using PMSM

Neural Network-Driven Sensorless Speed Control of EV Drive Using PMSM

The Impact of Computational Accuracy on the Quality of Direct Drive Control

Decoupled Speed and Flux Control of a Three-Phase Permanent Magnet Synchronous Motor under an Open-Circuit Fault Using a PR Current Controller

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