Runge-Kutta Model Predictive Speed Control for Permanent Magnet Synchronous Motors

Akpunar, Adile; İplikçi, Serdar

doi:10.3390/en13051216

Cited by 11 publications

(12 citation statements)

References 20 publications

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“…When the initial error angle is large, the system works with two stages corresponding to the large and small value of the deviation angle. The problem is how to choose the timing of control structure switching, so that the system achieves the optimum standard of fast and asymptotic action at the end position, without over-tuning [4], [19], [21]. Considering the priority condition at the stop time, when the system enters the region with a small deviation (near to the destination), then it is necessary to improve the accuracy.…”

Section: The Position Controller Uses a Pmsm Motor Based On The Adaptive Sliding Mode Speed Controllermentioning

confidence: 99%

Development of a position tracking drive system for controlling PMSM motor using dSPACE 1104-based variable structure

Chuyen¹,

Dien²

2021

IJPEDS

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In industrial electric drive systems, it is common to find objects that need to solve the problem of angular position control, moving the object from one position to another asymptotically with no over-correction and guarantee. calculation of maximum fast impact. This is a multi-target optimization problem with many different solutions. This paper presents a method of constructing a PMSM motor position controller with a variable structure using dSPACE 1104 card. The system consists of a position control loop with a variable structure that is an outer loop and a speed control loop degree is the inner loop. In which, the speed adjustment loop uses adaptive law to compensate for uncertain functions and build a sliding mode observation to estimate load torque, friction and noise. The results of the simulation study were verified on Matlab-Simulink environment and experimented on dSPACE 1104 card to check the correctness of the built controller algorithm. The research results in the paper are the basis for the evaluation and setting up of control algorithms, design of electric drive systems in industry and the military.

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Section: The Position Controller Uses a Pmsm Motor Based On The Adaptive Sliding Mode Speed Controllermentioning

confidence: 99%

Development of a position tracking drive system for controlling PMSM motor using dSPACE 1104-based variable structure

Chuyen¹,

Dien²

2021

IJPEDS

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“…3 To make a permanent magnet synchronous generator play a better role in the application process, the control method of the permanent magnet synchronous engine is extensively studied. Specific methods such as variable voltage frequency control methods, 4 model predictive control methods, 5 and vector control methods. 6 The vector control method is superior to other control methods, such as variable voltage frequency control.…”

Section: Introductionmentioning

confidence: 99%

Sensorless control of permanent magnet synchronous motor based on adaptive back-EMF observer

Cao

Yong

et al. 2023

Advances in Mechanical Engineering

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Aiming at the problem that the change of motor parameters in actual operation will significantly reduce the control accuracy of the motor, this paper proposes a sensorless control method of permanent magnet synchronous motor based on an adaptive back-EMF observer. Firstly, in the sensorless vector control algorithm, the mathematical model of the permanent magnet synchronous motor based on the coordinate axis transformation is established, online identification of permanent magnet synchronous motor flux linkage, and the adaptive back EMF observer is constructed. The parameters update the motor model to achieve accurate control of the rotor position and speed of the permanent magnet synchronous motor. Then the back-EMF observer and the adaptive back-EMF observer are verified in the simulation environment. Then the simulation model of the back-EMF observer and the adaptive back-EMF observer is carried out, and the comparison analysis is made. Finally, a permanent magnet synchronous motor control platform is built in the laboratory, and the method proposed in this paper is verified. The results show that, under the condition that the permanent magnet synchronous motor parameters change, the online identification of the parameters and the accurate speed of the permanent magnet synchronous motor can be realized control.

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“…The permanent magnet synchronous motor has low loss and efficiency and is widely used in coal mining. To make the permanent magnet synchronous generator exert a better performance in the application process, extensive research has been carried out on the control methods of the permanent magnet synchronous generator, such as the variable voltage and frequency conversion control method [3], the direct torque control method [4] , model predictive control method [5], vector control [6] and so on. The general control theory of motor speed is continuously improved through practice and is widely used in practical motor control systems as products.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Back-EMF Observer

Ye¹,

Cao²,

Duan³

et al. 2022

Preprint

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Aiming at the problem that the change of motor parameters in actual operation will significantly reduce the control accuracy of the motor, this paper proposes a sensorless control method of permanent magnet synchronous motor based on an adaptive back-EMF observer. In the sensorless vector control algorithm, the mathematical model of the permanent magnet synchronous motor based on the coordinate axis transformation is established, the flux linkage of the permanent magnet synchronous motor is identified online, and the motor model is updated with the specified parameters, to realize the analysis of the rotor position and the permanent magnet synchronous motor. Accurate control of rotational speed. The back-EMF observer and the adaptive back-EMF observer are verified in the simulation environment. The simulation results show that the adaptive back-EMF observer can quickly converge to the actual value and track the motor parameters well. Enabling highly accurate rotor speed and position estimation. Finally, the permanent magnet synchronous motor control platform is built in the laboratory. Under the condition of the parameter change of the permanent magnet synchronous motor, the online identification of the parameters and the accurate control of the speed of the permanent magnet synchronous motor can be realized.

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Runge-Kutta Model Predictive Speed Control for Permanent Magnet Synchronous Motors

Cited by 11 publications

References 20 publications

Development of a position tracking drive system for controlling PMSM motor using dSPACE 1104-based variable structure

Development of a position tracking drive system for controlling PMSM motor using dSPACE 1104-based variable structure

Sensorless control of permanent magnet synchronous motor based on adaptive back-EMF observer

Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Back-EMF Observer

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