Structural robust design for torque optimization of BLDC spindle motor using response surface methodology

• Published in: IEEE transactions on magnetics Vol. 37; no. 4; pp. 2814 - 2817
• Main Authors: Gao, Xianke, Low, Teck-Seng, Chen, Shixin, Liu, Zhejie
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.07.2001; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Buildings; Design engineering; Design optimization; Electric motors; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Finite element methods; Magnetism; Mathematical analysis; Mathematical model; Mathematical models; Motors; Optimization; Parametric statistics; Performance analysis; Planing; Response surface methodology; Robustness; Spindles; Torque; Design; Electrical engineering; Finite element method; Brushless DC motors; Couple; Theoretical study; Permanent magnet motors; Numerical simulation; Electric motor; Engine; Optimization
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/20.951315

The paper describes a response surface methodology (RSM) as an efficient approach to parametric model building and design optimization. Finite element analysis and RSM using mixed resolution central composite designs are utilized to determine the optimum torque performance of spindle motors. The effectiveness of the RSM is highlighted in the design of a four-factor three-level central composite rotatable design matrix for planing, conduction, execution and development of mathematical models. With the help of the analysis of variance and response surface plots, the optimal setting of design parameters is achieved for desired product quality.