Optimization of performance and reliability of brushless direct current motor

Abstract

Brushless direct current (BLDC) motors are usually designed for long-term operation and have high experimental costs and less test data than other motors. In the traditional performance and reliability analysis, the performance and reliability are generally analyzed separately. However, when one of these cannot meet the requirements, researchers usually have to redesign the system. In order to solve these problems, the optimization of both the performance and reliability of a BLDC motor was proposed. This paper shows how the control system model of a BLDC motor was simulated using Saber, which was modified by the engineering data. A sensitivity analysis was used to determine the design dependent parameters and performance parameters of a BLDC motor, which could vary as a result of the manufacturing conditions, environmental temperature, and device degradation. The performance of a BLDC motor was analyzed using a Monte Carlo method, and the reliability of the BLDC motor was obtained using a statistical method according to the fault criterion. The dual response surfaces analysis method could optimize the performance and reliability simultaneously, providing a new method for the analysis of a motor.