Parameter analysis and synthesis of Assessment-Based Flux Trajectory Optimization algorithm using Virtual Prototyping

Abstract:
Besides the well-known pulse width modulation (PWM), different pulse-pattern generation techniques have been introduced since the invention of more performant control hardware. Especially if the switching-to-fundamental-frequency ratio is small, optimization-based pulse pattern yield to better performance than standard PWM modulation. The Assessment-Based Flux Trajectory Optimization (AFO) is a novel pulse-pattern generation algorithm, obtaining a very good performance in stationary and dynamic operation. In this paper, the AFO’s objective functions are analyzed in detail. Performance criteria have been introduced to compare different AFO configurations. Finally, a simulative method is introduced to parameterize the AFO according to the application-specific requirements.