A new technique for multi-dimensional performance optimization of switched reluctance motors for vehicle propulsion

Abstract

This paper presents a new and simple search technique to determine the optimum control parameters, such as turn-on and turn-off angles, current set level, etc., of a switched reluctance drive. Thanks to this new technique, several drive performance quantities such as efficiencies, torque ripple, energy consumption, torque per ampere, etc., can be optimized simultaneously over the entire torque-or power-speed operation range of the drive. In prior art work, these performance quantities were sequentially optimized, one at a time. This despite reported evidence that improving one performance quantity, such as efficiency, can have a negative impact on others, such as torque ripple. The technique was successfully used off-line to determine the optimum firing angles for achieving highest drive efficiency with lower torque ripple in a 102-kW SRM drive intended for electric vehicle propulsion. The performance prediction and test results are found in good correlation.

Finite time linear quadratic based optimal control of BLDC motor employing distributed parameters modeling

“…Significant papers are also related to the determination of the optimal switching sequence i.e. the determination of the control parameters such as the turn-on to turn-off angle or the current amplitude [21,22], the mapping of the performance quantities of the interest to a designer or the curve fitting technique to model the flux linkage curves and obtain the optimal waveform of the exciting current [23]. Researchers also proposed the control methods employing algorithms for ripple reduction and precise speed tracking [9,12], sliding mode control or sensorless methods [2] and finally the neural networks, fuzzy logic or other artificial intelligence based techniques [3,7,[24][25][26].…”