A review of drive techniques for multiphase machines

Liu, Zicheng; Li, Yongdong; Zheng, Zedong

doi:10.30941/cestems.2018.00030

Cited by 95 publications

(32 citation statements)

References 58 publications

(73 reference statements)

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“…At present, current control strategies of the 3P-PMSM are generally divided into Field Oriented Control (FOC), Direct Torque Control (DTC), and FCS-MPCC [1]- [3]. Compared with FOC, FCS-MPCC can obtain a better dynamic response.…”

Section: Introductionmentioning

confidence: 99%

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Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Han

2020

IEEE Access

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The finite control set model predictive current control(FCS-MPCC)can significantly improve the dynamic performance of the five-phase permanent magnet synchronous motor (5P-PMSM), but its control performance highly depends on the accuracy of the model parameters. The parameter error compensation based on the first-order sliding mode observer can improve the robustness of FCS-MPCC under Model parameter mismatch. The introduction of the sign function leads to chattering in the observation results. In order to eliminate this chattering, a first-order low-pass filter needs to be added for compensation. However, the introduction of filters will increase system design difficulty and bring system delays, which will affect the compensation effect. Therefore, a second-order sliding mode observer, based on the variable-gain Super-Twisting algorithm, is proposed to realize the parameter error estimation and one-beat delay compensation in this paper. By establishing the Lyapunov function, the stability proof of the proposed observer, and the calculation method of the observer parameters are given. Besides, the third harmonic current can be suppressed, and the computational burden of the control unit can be reduced by controlling the proportion of medium vector and large vector reasonably. According to the deadbeat control, the optimal virtual voltage vector action time in each cycle is obtained, which improves the tracking ability of the reference current. At last，Extensive experimental results validate that i) the proposed observer can significantly improve the robustness of model predictive current control even under parameters mismatch; ii) the proposed control method can effectively enhance the dynamic performance of the 5-phase PMSM. INDEX TERMS five-phase PMSM, finite control set model predictive current control (FCS-MPCC), duty ratio, virtual voltage vector (V3), variable-gain Super-Twisting algorithm(VG-STA).

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Section: Introductionmentioning

confidence: 99%

“…Compared with FOC, FCS-MPCC can obtain a better dynamic response. Compared with DTC, FCS-MPCC provides more flexible optimization methods thanks to its high control freedom, resulting in more accurate and effective optimal voltage vector optimization [1].…”

Section: Introductionmentioning

confidence: 99%

Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Han

2020

IEEE Access

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“…AC electric drives are used in a wide variety of industrial applications such as in compressors [1], in electric vehicle propulsion systems [2,3] and in more electric aircraft (MEA) [4], among others. Although three-phase systems dominate the AC drive market, multiphase solutions are gaining popularity [5][6][7]. Multiphase systems are preferable for applications where high fault tolerance is required [8], such as for MEA applications, where electromechanical actuators (EMA) for control surfaces, fuel pumps, landing gears, environmental control systems and starter-generators need to be operated [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

New Modulation Technique to Mitigate Common Mode Voltage Effects in Star-Connected Five-Phase AC Drives

et al. 2020

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Star-connected multiphase AC drives are being considered for electromovility applications such as electromechanical actuators (EMA), where high power density and fault tolerance is demanded. As for three-phase systems, common-mode voltage (CMV) is an issue for multiphase drives. CMV leads to shaft voltages between rotor and stator windings, generating bearing currents which accelerate bearing degradation and produce high electromagnetic interferences (EMI). CMV effects can be mitigated by using appropriate modulation techniques. Thus, this work proposes a new Hybrid PWM algorithm that effectively reduces CMV in five-phase AC electric drives, improving their reliability. All the mathematical background required to understand the proposal, i.e., vector transformations, vector sequences and calculation of analytical expressions for duty cycle determination are detailed. Additionally, practical details that simplify the implementation of the proposal in an FPGA are also included. This technique, HAZSL5M5-PWM, extends the linear range of the AZSL5M5-PWM modulation, providing a full linear range. Simulation results obtained in an accurate multiphase EMA model are provided, showing the validity of the proposed modulation approach.

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“…Recently, the multiphase machine drives have been given great concern due to their various advantages compared with the three-phase AC machine drives [1][2][3]. ese advantages can be addressed in the form of high robustness, smooth torque profile, reduced ripples content in the controlled variables, reduced current rating for each phase of the stator, and enhanced fault-ride through capability [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Deadbeat-Based Model Predictive Voltage Control for a Sensorless Five-Phase Induction Motor Drive

Mossa

Quynh

Echeikh

et al. 2020

Mathematical Problems in Engineering

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This paper introduces a direct model predictive voltage control (DMP VC) for a sensorless five-phase induction motor drive. The operation of the proposed sensorless DMP VC is based on the direct control of the applied stator voltages instead of controlling the torque and flux as in model predictive direct torque control (MP DTC). Thus, the simplicity of the control system is enhanced, which saves the computational time and reduces the commutation losses as well. The methodology based on which the proposed sensorless DMP VC performs its operation depends on minimizing a cost function that calculates the error between the reference and actual values of the direct and quadrature (d-q) axes components of stator voltages. The reference values of d-q components of stator voltages are obtained through incorporating the deadbeat control within the proposed model predictive system. A robust back-stepping observer is proposed for estimating the speed, stator currents, rotor flux, and rotor resistance. The validity of the proposed sensorless DMP VC is confirmed through performing detailed and extensive comparisons between the proposed DMP VC and MP DTC approach. The obtained results state that the drive is exhibiting better performance under the proposed DMP VC with less ripples content and reduced computational burden. Moreover, the proposed back-stepping observer has confirmed its effectiveness in estimating the speed and other variables for a wide range of speed operation.

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A review of drive techniques for multiphase machines

Cited by 95 publications

References 58 publications

Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

New Modulation Technique to Mitigate Common Mode Voltage Effects in Star-Connected Five-Phase AC Drives

Deadbeat-Based Model Predictive Voltage Control for a Sensorless Five-Phase Induction Motor Drive

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