Deciphering Innovative Principles for Designing Electric Brushless D.C. Permanent Magnet Motors

This paper shows how a routine design optimization task can be enhanced to decipher important and innovative design principles which provide far-reaching knowledge about the problem at hand. Although the so-called ‘innovization’ task is proposed by the first author elsewhere for this task, the application to a brushless D.C. permanent magnet motor design is the first real application to a discrete optimization problem. The model for cost and peak-torque objectives and associated constraints are borrowed from an existing study. The extent of knowledge gained in designing a high-performing and optimal motors achieved in this study is phenomenal and should motivate other practitioners to pursue similar studies in other design and optimization related activities.