Multiple-Mode Current Control for a Hybrid-Excitation Axial Flux Switching Permanent Magnet Motor Considering Driving Cycles

Xu, Lei; Líu, Hao; Zhu, Xiaoyong; Fan, Wenjie; Zhang, Chao; Zhang, Li; Quan, Li

doi:10.1109/tie.2023.3243278

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…TABLE 6. Summary of salient features of predictive control techniques [31], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [69]. PI controller is also used along with the Dahalin controller in the current loop for single-phase DCFSM in [40] to minimize torque ripple [41].…”

Section: Figure 10mentioning

confidence: 99%

“…Traditional MPC uses a single voltage vector in each control cycle resulting in large switching harmonics and steadystate fluctuations. To overcome it, a Model Predictive Thrust Force Control (MPTFC) with Active Voltage Vector Selection (AVVS) and Two Voltage Vector is developed [60], with a greater number of voltage vectors, the Multi-Vector (MV) MPC is developed for FSM in [61] and [69]. These methods simplify the calculation burden and minimize the reference and output voltage error.…”

Section: Predictive Controllersmentioning

confidence: 99%

“…For the case study, initially, the conventional PI controller [30] is chosen, and with a modification, the PI with Feed-Forward (PI FF) [36] then sensorless algorithms like PLL [42] and SMO [43], and at last, conventional MPC [56] algorithms are chosen as well to analyze the performance of FSPM. [31], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [69]. The case study is based on the simulation results of these algorithms using MATLAB Simulink.…”

Section: Case Studymentioning

confidence: 99%

“…FIGURE 24.Pictorial representation of predictive control techniques[31],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[69].…”

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confidence: 99%

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Review of Control Topologies for Flux Switching Motor

Merlyn

Lenin

2023

IEEE Access

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Flux switching Motor (FSM) was invented in the 19 th century but started gaining importance after 2000. The simple structure and moderate cost of FSM, in comparison with existing commutated Direct Current (DC) and Permanent Magnet Brushless Direct Current (PMBLDC) motors, have made it attractive for contemporary applications. Currently, FSM is employed in research applications like automobiles, domestic appliances, power generation, etc. To make FSM a viable candidate for these applications, modifications are made to the design, power converters, and control systems of FSM. This article comprehensively reviews the various control topologies adopted for FSM, which encompasses the control of torque and speed. Different control algorithms like 1) linear controllers, 2) sensorless techniques, 3) predictive controllers, and 4) optimization techniques are discussed extensively based on existing literature. Further, a case study is carried out using these control algorithms, and the simulation results are analyzed.

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Section: Figure 10mentioning

confidence: 99%

Section: Predictive Controllersmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

“…FIGURE 24.Pictorial representation of predictive control techniques[31],[56],[57],[58],[59],[60],[61],[62],[63],[64],[65],[66],[69].…”

mentioning

confidence: 99%

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Review of Control Topologies for Flux Switching Motor

Merlyn

Lenin

2023

IEEE Access

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“…In recent decades, various novel FSM have been including segmented FSMs [7], [8], double-stator FSMs [15], [16], double-rotor FSMs [17], [18], skewed teeth FSMs [19], [20], linear FSM configurations [21], [22], axial flux FSMs [23], [24], and outer-rotor FSMs [14], [25], [26]. For example, a novel segmented 12/8 FSM with an excited outer rotor is proposed in [26].…”

Section: Introductionmentioning

confidence: 99%

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Abunike,

Okoro,

Far

et al. 2023

IEEE Access

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Flux switching machines play a crucial role in emerging sectors such as renewable energy, electric vehicles, and the aerospace industry. Recent advancements have underscored their potential for achieving high torque density, effective heat management, and flux-weakening capabilities. This paper provides a comprehensive review of the design optimization of these machines, offering a unique contribution, as no previous attempts have delved into a detailed exploration of various optimization techniques specific to this technology. Special attention is given to state-of-the-art technologies related to multi-objective optimization and the performance analysis of the three variants: permanent magnet, wound-field, and hybrid excited. The review highlights and compares several optimization strategies from recent research, revealing research gaps in integrating advanced control algorithms, thermal, vibroacoustic, and structural models into the optimization design process of these machines. Furthermore, this review identifies essential trends in optimization development, offering valuable insights and future perspectives for these machines across diverse applications.

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