An adaptive algorithm for PMBL motor design

Permanent magnet brushless DC (PMBL) motors are utilized in various applications. Design of PMBL motors mostly depends on experimental knowledge. In this paper an adaptive algorithm is proposed for PMBL motor design. Design equations are derived from basic governing equations which may be applied to a variety of PMBL motors. Based on the equations, an innovative design flowchart is developed. Using the flowchart, a PMBL motor is designed as a case study. The physical parameters of the algorithm results are used to make a solid model analyzed by Finite Element Analysis (FEA). The model dimensions obtained from the algorithm are fine-tuned utilizing the FEA results. The FEA performance results, verifying the proposed algorithm, satisfy the design requirements. A fabricated motor having the same physical properties is tested and the performance parameters are measured and compared with the algorithm results and the FEA results.