Research on Open-circuit Fault Tolerant Control of Six-phase Permanent Magnet Synchronous Machine Based on Fifth Harmonic Current Injection

Zhang, Zhifeng; Wu, Yue; Su, Hequn; Sun, Quanzeng

doi:10.30941/cestems.2022.00041

Cited by 12 publications

(4 citation statements)

References 28 publications

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“…It has been also aimed to generalize the use of such nonlinear control methods to more types of electric motors (asynchronous, brushless DC or reluctance motors) and to the associated power electronics (converters, inverters) [30][31]. Due to the potential for use in industrial applications and in electric traction and propulsion systems there is ongoing research on nonlinear control for VSI-fed 6-phase PMSMs [32][33][34]. Among these results, predictive control techniques remain a dominant direction [35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for VSI-fed six-phase PMSMs in the traction of electric vehicles

Rigatos,

Abbaszadeh,

Hamida

et al. 2024

Preprint

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The need for high power in electric vehicles has motivated the use of multi-phase electric motors in the associated traction systems. In this article, a nonlinear optimal control approach is developed for voltage-source inverter-fed six-phase Permanent Magnet Synchronous Motors which can be used in electric vehicles' traction. The dynamic model of the VSI-fed six-phase PMSM undergoes approximate linearization around a temporary operating point that is recomputed at each time-step of the control method. The linearization is based on Taylor series expansion and on the associated Jacobian matrices. For the linearized state-space model of the system a stabilizing optimal (H-infinity) feedback controller is designed. This controller stands for the solution to the nonlinear optimal control problem under model uncertainty and external perturbations. To compute the controller's feedback gains an algebraic Riccati equation is repetitively solved at each iteration of the control algorithm. The stability properties of the control method are proven through Lyapunov analysis. The differential flatness properties of the state-space model of the six-phase PMSM are also proven, thus allowing to solve the setpoints definition problem in the motor's functioning. To estimate non-measurable state variables and to implement sensorless control for the dynamic model of the six-phase PMSMs, the H-infinity Kalman Filter is used as a robust state estimator. It is shown that under the proposed control scheme fast and accurate tracking of reference setpoints is achieved with moderate variations of the control inputs.

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Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for VSI-fed six-phase PMSMs in the traction of electric vehicles

Rigatos,

Abbaszadeh,

Hamida

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Due to its above-average power factor, high efficiency, and simple structure, it has been gradually applied in some fields with relatively high requirements for reliability, power level, and power density, especially in aerospace, naval propulsion, rail transportation, electric vehicles, etc. [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Open-Circuit Fault-Tolerant Control of a Six-Phase Asymmetric Permanent Magnet Synchronous Motor Drive System

Liu

2023

Electronics

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One innovative composite fault-tolerant control tactic is presented for the reliable operation of a power transmission system, which consists of both an asymmetric six-phase permanent magnet synchronous motor (PMSM) and a T-type mid-point clamp type (T-NPC) three-level inverter. First, in order to inherit the better harmonic property of simplified space vector modulation (SVM) and the rapid dynamic capability of direct torque control (DTC), the SVM-DTC control scheme was determined, and the harmonic electric current suppression unit was added to the basic control scheme to obtain good harmonic electric current suppression. In addition, a strategy for open-circuit fault-tolerant control under the SVM-DTC scheme was designed by analyzing the mutual influence between the stator flux linkage and the stator voltage of each phase under an open-circuit fault. Finally, the PMSM drive system principle prototype was tested. By comparing the waveforms of output torque and current of each phase before and after fault tolerance, it shows that the large torque fluctuation (±5%) before fault tolerance was suppressed to ±2% and smoothed out, verifying the effectiveness of fault tolerance control.

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“…This strategy performs fault tolerance by controlling the two DC components. The study presented in [ 14 ] analyzes the impact of the fifth harmonic space on the fault-tolerant control, and develops mathematical models for the fundamental and fifth harmonic space. It uses the second transformation to implement decoupling control and propose a control strategy which involves injecting fifth harmonic current in order to effectively suppress the torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant control strategy of six-phase permanent magnet synchronous motor based on deadbeat current prediction

et al. 2023

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The fault-tolerant control after phase loss is crucial in the studies of the six-phase permanent magnet synchronous motor (PMSM), and the one phase loss is the most frequent phase loss fault. To improve the system instability caused by nonlinear and time-varying perturbations of inductance parameters in a double-Y phase shifted 30° six-phase PMSM, an improved deadbeat predictive current fault-tolerant control (DPC-FTC) method is proposed in this study. The transformation matrix after single-phase open-phase is first reduced and reconstructed, and the reduced-dimensional voltage equation is derived. Based on this equation, the deadbeat current predictive control is then used to predict the expected voltage using the current feedback value and the reference value, so as to shorten the response time and improve the overall control effect. The voltage equation after parameter perturbation is rewritten, and the current discrete transfer function under constant expected voltage before and after parameter perturbation is calculated. Afterwards, to further improve the low stability of fault-tolerant control after phase loss, which is caused by the inductance parameter perturbation of the control system, the weight coefficient is introduced in order to enhance the deadbeat predictive current control so that it splits and optimizes the direct-quadrature axis current. The stability of the system is then analyzed. By changing the weight coefficient, the fault-tolerant control system has a wider stable working range. Finally, the simulation model and experimental platform are completed. The results show that the improved DPC-FTC method improves the permissible inductor parameter uptake range by a factor of 1/β, reduces the current static difference by 32.05% and 46.02% when the inductor parameter is mismatched by a factor of 2, reduces the current oscillation and effectively reduces the sensitivity of system stability to inductor parameter uptake.

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Research on Open-circuit Fault Tolerant Control of Six-phase Permanent Magnet Synchronous Machine Based on Fifth Harmonic Current Injection

Cited by 12 publications

References 28 publications

Nonlinear optimal control for VSI-fed six-phase PMSMs in the traction of electric vehicles

Nonlinear optimal control for VSI-fed six-phase PMSMs in the traction of electric vehicles

Open-Circuit Fault-Tolerant Control of a Six-Phase Asymmetric Permanent Magnet Synchronous Motor Drive System

Fault-tolerant control strategy of six-phase permanent magnet synchronous motor based on deadbeat current prediction

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