Multiple Objective Co-Optimization and Experimental Evaluation of Switched Reluctance Machine Design and Control

A new modeling framework and optimization approach is proposed for co-optimization of both switched reluctance machine (SRM) design and control across the entire torque-speed range. Custom modeling codes use static finite element analysis (FEA) results to determine optimal current profiles and conventional control conditions for discrete speeds, torques, and torque ripple levels. A machine design optimization method is proposed that leverages outputs from control optimization and determines quality metrics for each design based on the efficiency and torque ripple across the operation envelope. Simulations are validated through empirical testing across the entire torque-speed operation range as comparisons of transient FEA, custom models, and tests are presented.