Speed Sensorless Control of Axial Field Flux-Switching Permanent Magnet Machine Based on Improved Adaptive Sliding Mode Observer

Zhai, Liangguan; Yang, Zexian; Zhang, Wei; Wang, Jiale; Liang, Xida; Zhu, Yufei

doi:10.1109/icems.2019.8921983

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…The proposed deadbeat current predictive vector control system could effectively improve the torque tracking characteristics and achieved no torque overshoot and small torque ripple at steady state. Moreover, some studies also proposed the improved control techniques based on extended disturbance observer [112] and sliding mode observer [102,113,114] to further improve the control effect and accuracy of AFPM motors.…”

Section: Improved Foc and Dtcmentioning

confidence: 99%

A Review of Axial-Flux Permanent-Magnet Motors: Topological Structures, Design, Optimization and Control Techniques

Hao

Wang

et al. 2022

Machines

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Axial-flux permanent-magnet (AFPM) motors are a kind of important motor with compact structure, high power density and high torque density. In this review, the progress of AFPM motors and their key technologies are analyzed and described, with emphasis on the topological structures, design and optimization methods and control techniques. Based on these analyses, the main findings of the review are the following: (1) the yokeless and segment armature (YASA)-type motors have great potential for development; (2) the multi-objective optimization design theories can be integrated and applied to optimize the design of AFPM motors; and (3) optimal control and sensorless control have important value in improving system reliability and reducing cost. Finally, highlights and prospects are provided for further advancing AFPM motors.

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Section: Improved Foc and Dtcmentioning

confidence: 99%

A Review of Axial-Flux Permanent-Magnet Motors: Topological Structures, Design, Optimization and Control Techniques

Hao

Wang

et al. 2022

Machines

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“…Axial AFPM motors offer multiple advantages, among which are low vibration noise, stable low speed operation, no reluctance torque, higher power, compactness structure, etc. their proper use, however, depends on the optimization of their parameters for compact structures (Zhai et al , 2019). In most applications, the size of the motor is a fixed parameter, limiting the radius of the PM in the ensemble.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of a yoke-less axial flux switching PM motor based on multi-objective PSO

Fard

Arand

Hemmati

2023

COMPEL

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Purpose In this paper, an improved multiobjective particle swarm optimization (PSO) algorithm is proposed to optimize a three-phase, 12-slot, 19-pole, yokeless axial-field flux-switching permanent magnet (YASA-AFFSPM) motor. Design/methodology/approach Based on the structural characteristics of the YASA-AFFSPM, a mathematical model is established to calculate the main size of the YASA-AFFSPM motor. The split ratio, stator axial length, sandwiching pole angle, rotor pole angle, PM arc and number of conductors per slot are selected as optimization variables. Also, the efficiency, power factor, cogging torque and average torque are considered as the optimization objectives. The objectives are optimized by combining the improved multiobjective PSO algorithm with electromagnetic calculation. Findings Based on the proposed algorithm, the investigated motor is optimized. The on-load efficiency, power factor and average torque of the motor performance have increased by 0.87%, 3.13% and 10.39%, respectively. Moreover, the cogging torque and slot fill factor have undergone decreases of 8.57% and 3.34%, respectively. Finally, the effectiveness of the algorithm is verified using experiment results. Originality/value So far, no comprehensive report has been observed on the optimization of the YASA-AFFSPM motor using evolutionary algorithms and the study of the effect of the motor parameters. Therefore, in this paper, the authors decided to investigate the effect of YASA-AFFSPM motor parameters and improve motor performance with the improved PSO method.

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“…Hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) exhibits large torque/power density, wide operation range, and high efficiency [1], [2]. Therefore, this machine has remarkable application prospects in the field of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System

et al. 2020

Self Cite

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A novel 6/13-pole hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) exhibits strong fault tolerance capability, high efficiency, and large torque density. However, merely few research on speed sensorless control in HEAFFSPMM exists. The speed sensorless control methods based on model reference adaptive system (MRAS) are studied and compared for the machine to improve the stability and reliability of the system and consequently improve the application of machine in control system. Based on the field-oriented control strategy, the MRAS observer of speed is designed and built by applying stator currents, stator flux linkages, and simplified stator currents. The three speed sensorless control algorithms of MRAS are compared and analyzed by using MATLAB/Simulink simulation and dSPACE1104 experimental platform. Results show that the speed sensorless control algorithm based on simplified stator currents has good control performance and high control accuracy. INDEX TERMS Hybrid excitation, axial field flux-switching permanent magnet machine, simplified stator current, model reference adaptive system, and speed sensorless control. NOMENCLATURE u d , u q Stator voltage in d-q axis. u f Excitation voltage. i d , i q Stator current in d-q axis. i f Excitation current. L d , L q Stator inductance in d-q axis. L f Excitation inductance. R s Stator resistance. R f Excitation resistance. T e Electromagnetic torque. T eMAX Maximum value of torque. T eMIN Minimum value of torque. δ Torque ripple. ψ m Flux linkage produced by permanent magnets. ψ d , ψ q d, q-axis component of the stator flux. ω e Electric angular velocity. The associate editor coordinating the review of this manuscript and approving it for publication was Xiaodong Sun .

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Speed Sensorless Control of Axial Field Flux-Switching Permanent Magnet Machine Based on Improved Adaptive Sliding Mode Observer

Cited by 5 publications

References 17 publications

A Review of Axial-Flux Permanent-Magnet Motors: Topological Structures, Design, Optimization and Control Techniques

A Review of Axial-Flux Permanent-Magnet Motors: Topological Structures, Design, Optimization and Control Techniques

Optimal design of a yoke-less axial flux switching PM motor based on multi-objective PSO

Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System

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