This paper presents a fast and easy-to-implement acceleration-based parameter identification method for designing limited-angle servo motor drives. First, the servo motor model and position control scheme are introduced. Since controller gains are closely related to mechanical parameters, the impact of parameter mismatch on controller design is analyzed, showing that accurate parameters lead to better control performance. Conventional methods require designing the position or speed controller first and then estimating the actual parameters, which makes it hard to determine the gain of the controller before knowing the parameter. Therefore, this paper proposes an acceleration-based parameter identification method that directly identifies the parameters, which are then used to design the controller. To address cost and space limitations, an acceleration estimation technique is employed instead of installing an accelerometer. Finally, the accuracy of the parameter identification and the improved position control performance are experimentally validated.

This paper examines the management of motor torque in electric bikes (E-bikes) while accounting for various external resistances. In the case of assist electric bikes, the electromagnetic torque generated by the permanent magnet motor can be manipulated to lessen the amount of pedaling torque required from cyclists. However, the overall torque required during riding is influenced by external resistances such as the cyclist's weight, air resistance, friction from the road, and the incline of the road. It's important to regulate the motor torque based on these riding conditions. The primary motion characteristics of an electric bike are analyzed in this paper to determine motor assistance torque. To address the dynamic effects of both pedaling torque and wheel acceleration, four torque control methods are proposed. By aligning the motor torque in the opposite phase to the pedaling torque, fluctuations in acceleration can be minimized. These torque control methods are evaluated through simulations of electric bikes across various resistances. Additionally, an experimental setup is constructed to validate the findings from these cycling simulations.

This paper designs a CubeSat reaction wheel for high-precision angular momentum control. For aerospace applications, the reaction wheel (RW) must provide sufficient momentum range under a rigorous weight limitation. To minimize the motor weight, a permanent magnet (PM) motor is developed with several design considerations. A novel four phase spherical motor structure and the vector control algorithm is proposed in this paper. The novel spherical motor design aims to replace three single axis 1 DOF RW motors by one 3 DOF spherical RW motor on the satellite attitude determination and control system (ADCS). According to the simulation result, the vector control can provide continuous torque through proposed current regulation, and the rated momentum of 60 mNm-sec and rated torque 5 mNm can be achieved to satisfied the demand of 6~30U satellite.