QFT controller of switched reluctance motor

Abstract

This study focuses on the implementation of Quantitative Feedback Theory (QFT) for the robust speed control of a Switched Reluctance Motor (SRM). QFT, introduced by Isaac Horowitz, represents a frequency-domain robust control design methodology that systematically addresses plant uncertainties and external disturbances within a predefined performance framework. Unlike traditional control strategies that are typically based on a nominal plant model, QFT explicitly considers an uncertainty set of plant models, enabling the controller to guarantee robustness and stability across all possible system variations.

The proposed QFT-based control design for the SRM effectively enhances the dynamic response, disturbance rejection capability, and robust stability margins. Comparative simulation and experimental results demonstrate that the QFT controller achieves superior speed regulation, faster transient response, and greater robustness against parameter variations and load disturbances, when compared with the conventional Proportional–Integral (PI) control strategy.