Permanent Magnet Flux Linkage Analysis and Maximum Torque per Ampere (MTPA) Control of High Saturation IPMSM

Li, Chengxu; Zhang, Wenjuan; Gao, Jian; Huang, Shoudao

doi:10.3390/en16124717

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…Flux linkages naturally consist of components resulting from the excitation currents along the d and q axes and a component caused by the existence of permanent magnets. All these excitation components are interdependent, so none of them can be considered as an independent or constant quantity, as described by Equation ( 6): ψ ds = ψ dex i ds , i qs + ψ dPM i ds , i qs ψ qs = ψ qex i ds , i qs + ψ qPM i ds , i qs (6) where ψ dex and ψ qex are the flux components due to stator current excitation only, and ψ dPM and ψ qPM are the flux components as a result of permanent magnet existence.…”

Section: Basic Principle Of Frozen Permeability Techniquementioning

confidence: 99%

“…These saturation phenomena induce significant variations in the inductance values along the d and q axes, which are considered constants in the classical magnetic models of IPMSM [4]. Even permanent magnet flux linkage suffers variation due to pronounced magnetic saturation [5,6]. Therefore, parameter variation adversely affects the performance of traditional control strategies based on classical magnetic models [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear Magnetic Model of IPMSM Based on the Frozen Permeability Technique Utilized in Improved MTPA Control

Vučković,

Popović,

Jerkan

et al. 2024

Electronics

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In this paper, the enhanced nonlinear magnetic model of the low voltage interior permanent magnet synchronous machine (IPMSM) is developed using the frozen permeability (FP) technique in finite element analysis (FEA) FEMM 4.2 software. The magnetic model is derived by obtaining flux saturation maps for a wide range of dq stator currents. Furthermore, the FEA FP technique accounts for the corresponding offset in the flux maps due to the excitation of the permanent magnets, and well as for fitting the coefficients for the curve-fitting procedure. In order to demonstrate the usefulness of the proposed magnetic model, a nonlinear control strategy based on the maximum torque per ampere (MTPA) optimal algorithm for IPMSM is employed. The magnetic model and the MTPA control strategy are validated through a variety of computer simulations based on FEMM 4.2 and MATLAB R2023a software, as well as on a real IPMSM electric vehicle (EV) traction drive experimental setup.

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Section: Basic Principle Of Frozen Permeability Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear Magnetic Model of IPMSM Based on the Frozen Permeability Technique Utilized in Improved MTPA Control

Vučković,

Popović,

Jerkan

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…[28] proposes a polynomial-based target model that estimates polynomial parameters from some test data for the direct calculation of MTPA angles, which results in fast calculation speed. In [29], the variation in magnet flux with current is analyzed, and the traditional magnet flux and torque models are improved. However, it does not take into account the influence of variation in dq-axis inductances.…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification for Maximum Torque per Ampere Control of Permanent Magnet Synchronous Machines under Magnetic Saturation

Yan,

Wen,

Cui

et al. 2024

Electronics

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This paper applies the identified parameters of permanent magnet synchronous machines (PMSMs) for the maximum torque per ampere control (MTPA) under magnetic saturation. The variation in magnet flux with current is determined using a position offset approach while the variation in q-axis inductance with the current is estimated from the d-axis voltage equation afterward. In addition, the d-axis inductance is estimated at standstill by the injection of a small amplitude of high frequency d-axis current. The curve-fitted results of estimated parameters under different saturation conditions are then employed to aid the derivation of MTPA control law. The proposed method is experimentally verified on two prototype PMSMs. Experimental results show that compared with conventional MTPA schemes using fixed values of magnetic parameters, the proposed method can increase maximum output torque by 2.1% and 3.2% on two prototype PMSMs, respectively.

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“…IPMSM possesses advantages such as high power density and strong overload capacity [1,2], which is widely used in the field of new energy vehicles [3][4][5][6]. Sensorless control technology has emerged as a prominent research area [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control Strategy for Interior Permanent Magnet Synchronous Motors in the Full-Speed Section

Wang,

Ma,

Zhao

et al. 2023

Energies

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Along with the advancement of modern control technology, electric vehicles have gradually become the leading force in the development of the automobile industry. Interior permanent magnet synchronous motors (IPMSMs) have gradually become a mainstream electric vehicle drive component due to their high power density and excellent controllability. This type of motor can form a high-precision closed-loop control system with position sensors, which improves the overall performance. However, the operating conditions are complicated, and position sensor failure can easily occur, which reduces the stability of the motor system. For the fault-tolerant control problem of position sensor failure, pulse high-frequency voltage injection and an improved sliding mode observer (SMO) are employed to achieve the sensorless control of both the low-speed and medium-high-speed sections of the electric motor. Combining the advantages of high-frequency voltage injection in the low-speed section with a high accuracy of position estimation and the advantages of improved SMO in the high-speed section with low computational volume, the composite sensorless control strategy is proposed for IPMSM in the full-speed section. Secondly, an improved SMO using a segmented composite function as the control function is proposed to improve the robustness of the system. It is proposed to address the issue of the smooth transition between the low-speed section and the medium- and high-speed section by using linear weighting. Finally, in order to validate the accuracy of the sensorless control technology, a rapid control prototype of IPMSMs based on Speedgoat is constructed by using a semi-physical simulation system. The efficacy of the control algorithms in the low-speed section, high-speed section and transition interval is verified.

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Permanent Magnet Flux Linkage Analysis and Maximum Torque per Ampere (MTPA) Control of High Saturation IPMSM

Cited by 6 publications

References 29 publications

Nonlinear Magnetic Model of IPMSM Based on the Frozen Permeability Technique Utilized in Improved MTPA Control

Nonlinear Magnetic Model of IPMSM Based on the Frozen Permeability Technique Utilized in Improved MTPA Control

Parameter Identification for Maximum Torque per Ampere Control of Permanent Magnet Synchronous Machines under Magnetic Saturation

Sensorless Control Strategy for Interior Permanent Magnet Synchronous Motors in the Full-Speed Section

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