This study aimed to provide the analytical design, optimization, and three-dimensional (3D) simulation through finite element method of a coreless stator axial field Flux-switching motor (AFFSM). The motor consists of two indented rotors with a coreless stator between them consisting of a magnet and winding. First of the motor electrical and magnetic design was performed and its basic parameters were calculated. Then, the optimization of the machine was evaluated implementing the Taguchi algorithm in order to minimize the motor cogging torque. Some of the basic motor dimensions, such as the magnet length and width, the rotor tooth width and height, and the back iron thickness, were selected as optimization variables, and the best combination of these variables was obtained by changing them in a certain range to achieve the desired objective. Then, the accuracy of analytical design and optimization was evaluated through forming a 3D finite element method (FEM) of the motor and investigating its performance. Comparison of the optimized and primary motor revealed that the optimal design had a better performance than the initial. Finally, a prototype of the proposed motor was fabricated and tested, which indicated that the experimental results were largely similar to the analytical results.

A new fuzzy PI control algorithm for a novel yokeless and segmented armature axial Flux-switching sandwiched permanent-magnet motor (YASA-AFFSSPM) is proposed in this paper. In the conventional fuzzy PI control of the permanent magnet synchronous motor the torque ripple is large and the control accuracy is not high precise. A new fuzzy PI control algorithm is proposed to solve this problem, and a prototype of the YASA-AFFSSPM motor is fabricated and the method is tested. The simulation and experimental results demonstrate that the new fuzzy PI controller can improve the robustness of the system and improve the precision. Further, the dynamic performance of the YASAAFFSSPM motor is excellent.

By combining the field-weakening control principle of a new axial Fluxswitching permanent-magnet motor (AFFSSPM) with the space vector pulse width modulation (SVPWM) and maximum torque per voltage (MTPV) control principle, a novel field-weakening control strategy for AFFSSPM is proposed in this paper. In the first stage of the field-weakening, the difference between the reference voltage updated by the current regulator and the saturated voltage output with SVPWM is used for field-weakening control, which modifies the direct axis of stator current. This method makes full use of the DC bus voltage, and can naturally smooth transition. In the second stage of the field weakening, the principle of MTPV control is used for field-weakening control, and then, being linearized. Compared with the traditional method, this method solves the problem of depth weakening of AFFSSPM. Between the two stages, the turning speed is used for the switch condition to achieve a smooth transition. The effectiveness and correctness of the proposed field-weakening control method and calculation method were verified with simulation results. Moreover, the dSPACE semi-physical simulation experimental platform for the hardware design and software design is used, and the semi-physical simulation experiment is carried out. The results show the accuracy and effectiveness of the proposed scheme.

To improve the performance of the fault-tolerant-hybrid excitation axial field Fluxswitching (FT-HEAFFS) motor and attain the minimum copper loss, a fault-tolerant control method based on the model predictive control algorithm is proposed. Considering a 6 stator slots/13-rotor poles FT-HEAFFS machine as the control object, under the open circuit failure of single-phase winding, the minimum cropper loss fault-tolerant method based on the model predictive torque control (MPTC) and direct torque control are studied and analyzed, respectively. The feasibility and effectiveness of the proposed fault-tolerant control method are verified. The research results showed that both methods could make the speed, torque and stator Flux-linkage almost unchanged, ensuring the stable operation of the system. Compared with direct torque control, the model predictive Flux control had smaller Flux-linkage ripple before and after the open circuit failure.

This paper investigates the operational performance of a novel Double-Rotor Hybrid Excitation Axial Flux switching Permanent Magnet (DRHE-AFSPM) machine, combining the strengths of Flux-switching Machines and Hybrid Excitation Synchronous Machines. The study analyzes the machine's structure and magnetic field adjustment principles, including inductance and Flux linkage characteristics. A mathematical model is derived and a vector control-based drive system is established. The loading capacity of the DRHE-AFSPM motor is examined at low speeds using an id = 0 control approach based on a stage control strategy. For high-speed operation, a field-weakening control strategy is implemented, with the field-weakening moment determined based on the voltage difference. Simulations and experimental results demonstrate the DRHE-AFSPM motor's ability to fully utilize its torque with id = 0 control, highlighting its strong load capacity. Compared to speed-based field-weakening control strategies, the voltage difference-based approach offers improved inverter output voltage utilization and a broader speed regulation range. These findings suggest that the DRHE-AFSPM motor is a promising candidate for in-wheel motor applications in electric vehicles (EVs).

Flux switching (FS) machines have recently received much attention because of their high torque density and their simple rotor structure. In these machines, the armature coil and excitation system are both mounted on the stator structure, and there is no coil, magnet or cage on the rotor. One of the drawbacks of the FS machines is the employment of large amounts of expensive rare earth magnets in their stator structure. Although ferrite permanent magnets can be used instead of rare earth magnets with about one tenth of the price, but the machine torque density is reduced. To solve this problem double stator structures are suggested. In machines with this structure, as in the conventional FS machines, the number of rotor teeth has a significant effect on machine’ s performance. Therefore, in this paper, the effect of rotor topology on the performance of a double stator ferrite magnet FS machine is investigated using finite element modeling and simulation under nominal operating conditions. Finally, to evaluate the accuracy of simulation results, a prototype of the best structure with maximum torque is manufactured and tested. The test results confirm the correctness of the simulation results with considerable accuracy.

In this paper, based on the vector control of axial field Flux switching permanent magnet (AFFSPM) motor, an optimized field-weakening control method of AFFSPM motor is proposed. A new AFFSPM motor with 12 stator slots (S) and 19 rotor poles (P) is taken as the object to simulate and optimize the Flux-weakening speed control. The AFFSPM motor adopts constant torque control with the maximum torque per ampere below the base speed, which reduces motor losses, improves the efficiency of the inverter and adopts constant power and sub-regional speed control above the rated speed. By combining the cross-axis current and direct-axis current in the Flux weakening control method, the power factor of the AFFSPM motor can be improved and speed range can be extended. By considering the speed fluctuation in field weakening control, and the fuzzy self-tuning PI control method is proposed to improve the performance of the AFFSPM motor field weakening control. To verify the feasibility of proposed control method, Co-Simulation is used. Finally, the control algorithm of the drive system is implemented in a prototype of AFFSPM motor.

Axial field Flux switching motor with sandwiched permanent magnet (AFFSSPM) is a novel of Flux switching motor. Based on the vector control method, the mathematical model of the AFFSSPM is derived and the operating performance of the AFFSSPM in the overall operating region is investigated. A novel control method for the AFFSSPM drive system, including the id =0, maximum torque per ampere, constant Flux linkage, unity power factor control and Flux-weakening strategy, is proposed. A prototype of the 12/19 poles AFFSSPM motor is manufactured and tested. Validity and feasibility of the proposed method were verified by experiments.

Flux-switching permanent magnet (FSPM) machines are novel brushless machines having magnets in the stator and currently are under intensive research due to their novel features, such as simple and robust rotor, Flux focusing effect, sinusoidal phase back-EMF, high torque/power density and high efficiency. In this paper, a sensorless high-frequency sinusoidal signal injection scheme for a novel yokeless and segmented armature axial Flux-switching sandwiched permanent-magnet motor (YASA-AFFSSPM) is proposed. Firstly, pulsating voltage injection is investigated in detail. In addition, a simpler method (Direct signal process method) for position error signal processing is presented based on pulsating signal injection. The principle and the realization of this method are analyzed in depth. Through experiment, the traditional signal process method and direct signal process method with high-frequency pulsating sinusoidal signal injection are compared to verify the validity these methods.

This paper presents developing an analytical model for Flux switching motors. The motor is a class of variable reluctance motors that has two windings on stator, a field winding and an armature winding. Due to saliency of both stator and rotor poles, accurate modeling is difficult which arises from the nonlinear behavior of the machine. This paper presents a simple model which is able to predict the motor inductances. The advantage of this method is that it describes the parameters of motor based on its dimensions. The model predicts both the self and mutual inductances. In comparison with similar studies, the proposed model predicts the mutual-inductance of a Flux switching motor very accurately. It should be noted that the mutual-inductance has not previously been considered by others in their analytic modeling of variable reluctance motors. The predicted results computed by the proposed analytic model are compared to that obtained by the two-dimensional finite element analysis.