Comprehensive Sensitivity Analysis and Multiobjective Optimization Research of Permanent Magnet Flux-Intensifying Motors

Zhu, Xiaoyong; Huang, Juan; Quan, Li; Xiang, Zixuan; Shi, Bing

doi:10.1109/tie.2018.2849961

Cited by 128 publications

(49 citation statements)

References 26 publications

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“…L q -L d is a positive value as the phase current below 263 A and then is negative with the further growth of the phase current, which is much different from conventional three-phase PMSM. It means that the modular three-phase PMSM can run with a positive d-axis current (i d ), which is beneficial to realize the flux-intensifying effect and reduce the demagnetization risk of the module three-phase PMSM under the high current amplitude condition or the condition that the motor frequently starts [25,26]. Figure 14 depicts that the d-q axis inductances of motor unit 1 with different phase current con tions varied from 0 to 400 A. Additionally, the inductance difference between Lq and Ld is also in stigated.…”

Section: Winding Inductance Characteristices Of Modular Three-phase Pmsmmentioning

confidence: 99%

Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application

Rao

Zhang

et al. 2020

Energies

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In this study, a novel modular three-phase permanent magnet synchronous motor (PMSM) is proposed for low-voltage high power applications. The proposed modular three-phase PMSM has an independent segregated three-phase winding configuration, facilitating the implementation of the control algorithm. Firstly, on the basis of the electromagnetic properties, the mathematical model of the modular three-phase PMSM is established, considering the asymmetrical mutual inductances investigated by finite element analysis (FEA). Then, the predictive torque control (PTC) method combining the inductance characteristics of modular three-phase PMSM is developed, and excellent performance is obtained by adjusting the stator flux and torque. Finally, simulation and experiment are performed, and the results show that the proposed novel modular three-phase PMSM with the PTC method exhibits excellent control performance, and small stator current total harmonic distortion (THD).

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Section: Winding Inductance Characteristices Of Modular Three-phase Pmsmmentioning

confidence: 99%

Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application

Rao

Zhang

et al. 2020

Energies

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show abstract

“…Moreover, the different design objectives at multi-operation modes are determined. Then, the modern evolution algorithm is utilised to optimise the motor [23][24][25][26]. To optimise the electromagnetic performance effectively at different operation modes, namely output torque, torque ripple, efficiency etc., the algorithm is integrated with an MC-DRN model, in which much abundant magnetic state predictions and accuracy improvements are involved.…”

Section: Multi-objective Optimisation and The Mc-drn Modelmentioning

confidence: 99%

Optimisation design of a flux memory motor based on a new non‐linear MC‐DRN model

Zhu

et al. 2019

IET Electric Power Applications

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In this study, based on a magnetisation-controllable dynamic reluctance network (MC-DRN) model, an optimisation design method with an efficient modern evolution algorithm for the flux memory motor is proposed. To clarify the method conveniently, a doubly salient flux-control memory (DS-FM) motor is involved and taken as a design example. First, according to the motor topology, the detailed MC-DRN model of the DS-FM motor is built, in which the magnetisation state adjustment of the low coercivity force material is considered. During the optimisation design process, to meet the diverse design requirements of multiple operation modes, non-dominated sorting genetic II is employed to obtain the trade-off optimal design of the DS-FM motor under different magnetisation states. Moreover, to verify the feasibility of the optimisation method, the electromagnetic performances of the motor in different operation modes are investigated in detail, and the results are compared with that obtained by the finite-element method. Finally, a prototype is manufactured, and the experiments are carried out. The corresponding results not only validate the reasonability of the investigated DS-FM motor but also prove the accuracy and the effectiveness of the MC-DRN model and optimisation design method.

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“…Core loss is the main component of no-load loss of the DS-PMDS motor. It can be estimated by the following model [17]:…”

Section: Core Loss and Efficiencymentioning

confidence: 99%

Multi-Objective Optimization Design and Multi-Physics Analysis a Double-Stator Permanent-Magnet Doubly Salient Machine

et al. 2018

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The double-stator permanent-magnet doubly salient (DS-PMDS) machine is an interesting candidate motor for electric vehicle (EV) applications because of its high torque output and flexible working modes. Due to the complexity of the motor structure, optimization of the DS-PMDS for EVs requires more research efforts to meet multiple specifications. Effective multi-objective optimization to increase torque output, reduce torque ripple, and improve PM material utilization and motor efficiency is implemented in this paper. In the design process, a multi-objective comprehensive function is established. By using parametric sensitivity analysis (PSA) and the sequential quadratic programming (NLPQL) method, the influence extent of each size parameter for different performance is effectively evaluated and optimal results are determined. By adopting the finite element method (FEM), the electromagnetic performances of the optimal DS-PMDS motor is investigated. Moreover, a multi-physical field analysis is included to describe stress, deformation of the rotor, and temperature distribution of the proposed motor. The theoretical analysis verified the rationality of the motor investigated and the effectiveness of the proposed optimization method.

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Comprehensive Sensitivity Analysis and Multiobjective Optimization Research of Permanent Magnet Flux-Intensifying Motors

Cited by 128 publications

References 26 publications

Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application

Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application

Optimisation design of a flux memory motor based on a new non‐linear MC‐DRN model

Multi-Objective Optimization Design and Multi-Physics Analysis a Double-Stator Permanent-Magnet Doubly Salient Machine

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