In this paper, the design and analysis of a 7.5kW 4 poles line-start synchronous reluctance motor (LS-SynRM) are investigated by considering the maximum inertia and power factor. Since the LS-SynRM must operate at synchronous speed, the synchronization capability, determined by the system inertia, is a crucial performance parameter for various industrial applications. Electromagnetic and mechanical transient analysis of a finite element analysis (FEA) are performed to analyze the maximum inertia under the condition of 380V-60Hz voltage. The initial model is designed by considering the maximum inertia. Moreover, the power factor is also important performance index in industrial applications according to IEC 60034-1. Therefore, a bridge design is proposed based on the initial model, and the improved model is designed by considering the efficiency, power factor, and mechanical stress. To improve the efficiency and power factor, the barrier optimal model is designed based on the improved model. Finally, the barrier optimal model of 7.5kW 4 poles LS-SynRM is manufactured, and experiments are performed to verify the steady-state and starting performance. In the steady-state performance, the efficiency and power factor of LS-SynRM are 93.89% (>92.6% IE4) and 78.1 (>78% IEC 60034-1), respectively. It showed about a 1.59%p higher efficiency than that of IM with IE3 efficiency.

This paper introduces a Deadbeat Predictive Current Control (DPCC) method that incorporates an Extended State Observer to address parameter mismatches, in Interior Permanent Magnet Synchronous Motor drives. Initially, the foundational principles of traditional deadbeat control are delineated, followed by an analysis of the inductance parameter sensitivity inherent in conventional DPCC methods. While the existing DPCC algorithm targets inductance variations, its scope is inadequate for applications demanding high control precision and robustness. Consequently, the sensitivities of resistance, inductance, and flux linkage parameters to predictive current errors are examined. An Extended State Observer is then implemented to monitor system disturbances caused by parameter deviations, facilitating real-time disturbance compensation in traditional predictive control algorithms. Ultimately, both simulation and experimental outcomes affirm that the proposed method effectively mitigates the influence of parameter mismatches on control efficacy and diminishes the parameter sensitivity of the DPCC approach.

In this paper, the design of novel slotless permanent magnet synchronous motor (PMSM) for a collaborative robot was studied considering the manufacture process of winding. The winding manufacture process of novel slotless PMSM was proposed in three steps. First, the two types of coil units were manufactured based on the winding jig to assemble the coil units. Second, the coil unit was manufactured using the injection molding based on the plastic material such as polyphenylene sulfide (PPS). Third, the units of the coil were assembled to form a stator winding. Considering this manufacture process of winding, the slotless motor design was studied for the collaborative robot. For the design and analysis of slotless motor, finite element analysis (FEA) was performed through ANSYS Maxwell. The electromagnetic performance was analyzed according to the pole-slot combination. Considering the space of the collaborative robot, the basic model was designed. Based on the basic model, the electromagnetic performance was analyzed according to the design parameters such as the thickness of magnet and yoke and turns per slot. Considering the torque and current density, the final model was designed. To verify the FEA results, the slotless motor was manufactured and the experiment and FEA results were compared.

In this paper, a winding inter-turn fault (ITF) diagnosis algorithm for electrical machines in integrated motor and drive (IMD) systems is proposed based on impedance analysis using space voltage vectors. An ITF alters the stator resistance, causing an imbalance in the motor’s impedance depending on the phase connection. This impedance asymmetry can be effectively utilized for fault diagnosis. However, in IMD systems, direct impedance measurement through mechanical terminal access is difficult due to the integrated structure. To address this, the impedance of the induction motor is analyzed electrically, without the need for physical disconnection, allowing practical implementation within integrated systems. The specific phase angle of the space voltage vector in the three-phase inverter is analyzed to replicate the electrical conditions of mechanical terminal configurations. Based on this approach, a fault diagnosis algorithm was developed by analyzing the variation in stator current and impedance with respect to space voltage vector angles. The effectiveness of the proposed method was verified through experimental validation using a 12kW three-phase induction motor and terminal box.