Online Loss-Minimization-Based Adaptive Flux Observer for Direct Torque and Flux Control of PMSM Drive

Uddin, M. Nasir; Zou, HonBin; Azevedo, Felipe C. F.

doi:10.1109/tia.2015.2470642

Cited by 57 publications

(15 citation statements)

References 30 publications

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“…(2) Eddy current loss, hysteresis loss, and the change of motor parameters are neglected. (3) It is assumed that permanent magnets on the rotor generate a main magnetic field in the stator-rotor airgap (the magnetic field is distributed sinusoidally along the circumference of the airgap) 22. So the continuous time model for PMSM in the d-q coordinate system can be described as:…”

Section: Discrete Mathematical Model Of Pmsm and Drivementioning

confidence: 99%

“…Permanent magnet synchronous motor (PMSM) direct torque control (DTC) has been widely used in industry due to its simple control structure, fast dynamic response, and high efficiency [1]. However, the traditional DTC control results in large torque ripple due to the insufficient switching frequency of the inverters and two nonlinear hysteresis comparators [2,3].…”

Section: Introductionmentioning

confidence: 99%

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Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Bao

2020

Energies

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A direct torque control (DTC) with a modified finite set model predictive strategy is proposed in this paper. The eight voltage space vectors of two-level inverters are taken as the finite control set and applied to the model predictive direct torque control of a permanent magnet synchronous motor (PMSM). The duty cycle of each voltage vector in the finite set can be estimated by a cost function, which is designed based on factors including the torque error, maximum torque per ampere (MTPA), and stator current constraints. Lyapunov control theory is introduced in the determination of the weight coefficients of the cost function to guarantee stability, and thus the optimal voltage vector reference value of the inverter is obtained. Compared with the conventional finite control set model predictive control (FCS-MPC) method, the torque ripple is reduced and the robustness of the system is clearly improved. Finally, the simulation and experimental results verify the effectiveness of the proposed control scheme.

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Section: Discrete Mathematical Model Of Pmsm and Drivementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Bao

2020

Energies

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“…In other words, operating point (and efficiency) for case of 'considering converter loss' and case of 'not considering converter loss' are close together in loss-minimisation method. Hence, converter loss is not taken into account in [14][15][16][17][18][19][20][21][22][23][24] for loss-minimisation method.…”

Section: Introductionmentioning

confidence: 99%

Effective and simplified method in maximum efficiency control of interior permanent magnet synchronous motors

Pairo¹,

Shoulaie²

2017

IET Electric Power Applications

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In this study, an easily implementable and effective method in loss-minimisation control of interior permanentmagnet synchronous motors (IPMSMs) is proposed. Complication of loss-minimisation condition and its implementation are main problems in model-based control methods of IPMSMs. To resolve these problems, an approximate-model is used for simplification of loss-minimisation condition and a proportional-integral-controller is utilised to directly solve the loss-minimisation condition. Also, saturation and iron loss resistance variation due to frequency variation are considered in the proposed method. Furthermore, results show the high precision of the proposed method in comparison with accurate model. Steady-state performance of the proposed method is compared with look-up tablebased loss-minimisation and maximum torque per ampere (MTPA) control methods. Also, experimental results verify performance, good dynamic response and effectiveness in loss reduction of the proposed method under different conditions in comparison with look-up table-based loss-minimisation and MTPA control methods.

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“…Furthermore, there is some research in which speed variation was taken into account. For example, in [9][10][11][12][13][14][15][16], the authors discussed different particular speed values, but they conducted their research with a fixed core resistance. In these cases, they neglected the variation of core resistance, which is related to frequency.…”

Section: Introductionmentioning

confidence: 99%

Neural network approach on loss minimization control of a PMSM with core resistance estimation

Erdoğan¹,

Özdemir²

2017

Turk J Elec Eng & Comp Sci

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Abstract:Permanent magnet synchronous motors (PMSMs) are often used in industry for high-performance applications.Their key features are high power density, linear torque control capability, high efficiency, and fast dynamic response.Today, PMSMs are prevalent especially for their use in hybrid electric vehicles. Since operating the motor at high efficiency values is critically important for electric vehicles, as for all other applications, minimum loss control appears to be an inevitable requirement in PMSMs. In this study, a neural network-based intelligent minimum loss control technique is applied to a PMSM. It is shown by means of the results obtained that the total machine losses can be controlled in a way that keeps them at a minimum level. It is worth noting here that this improvement is achieved compared to the case with I d set to zero, where no minimum loss control technique is used. Within this context, hysteresis and eddy current losses are primarily obtained under certain conditions by means of a PMSM finite element model, initially developed by CEDRAT as an educational demo. A comprehensive loss model with a dynamic core resistor estimator is developed using this information. A neural network controller is then applied to this model and comparisons are made with analytical methods such as field weakening and maximum torque per ampere control techniques. Finally, the obtained results are discussed.

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Online Loss-Minimization-Based Adaptive Flux Observer for Direct Torque and Flux Control of PMSM Drive

Cited by 57 publications

References 30 publications

Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Effective and simplified method in maximum efficiency control of interior permanent magnet synchronous motors

Neural network approach on loss minimization control of a PMSM with core resistance estimation

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