Drive System Design for a Permanent Magnet Motor with Independent Excitation Winding for an Electric Bicycle

Abstract

-This paper presents the implementation and characteristic analysis of a drive system for a three-phase permanent magnet motor with independent excitation winding that is applicable for electric bicycles. The design features improves the phase current waveform, output power, and torque by using advance angle control. This adjusts the phase angle of each phase current in relation to back EMF. In addition, a DC-side PI current control is performed through PWM generation circuit using a low-cost one-chip microcontroller and a CPLD chip, resulting in reduced system costs. Finally, the validity of this control scheme for driving electric bicycles and output/torque improvement characteristics are verified through analysis and experimental results.

Certainty equivalence adaptive speed controller for permanent magnet synchronous motor

“…The reasons are that the PMSMs have desirable features such as compact structure, high air-gap flux, high power density, high torque to current ratio, and high efficiency compared with induction motor because of the absence of rotor losses and lower no-load current below the rated speed [1][2][3]. However, the control performance of the PMSM drive system can be affected by the system non-linearity, motor parameters variations and external load torque disturbances [4].…”

Implementation of a Robust Fuzzy Adaptive Speed Tracking Control System for Permanent Magnet Synchronous Motors

“…It should be noted that many previous FOC methods such as [6], [9] were developed by using the above first-order equation (2). Considering this fact, the focus of this paper will be on proposing a fuzzy adaptive speed controller that produces a q-axis command current i qsd for the speed dynamic model (2) under the assumptions A1-2.…”

T-S Fuzzy Tracking Control of Surface-Mounted Permanent Magnet Synchronous Motors with a Rotor Acceleration Observer

“…The above model (2) does not need the load torque value but it does need the angular acceleration information. Unfortunately, accurate knowledge of rotor acceleration is usually not available in industrial applications since an accelerometer is expensive and the differentiated speed is sensitive to noise.…”

“…By introducing a T-S fuzzy model, the PMSM model (2) can be approximated by a third-order r-rule fuzzy model. In this paper, the motor speed  is selected to be a scheduling variable.…”