Novel Model Predictive Control for Performance Analysis of Synchronous Servo Motor Drive

Abstract

Synchronous servo motor drives play a crucial role in various industrial applications; hence its control systems have become more significant in the last decades for the developing world. This paper presents a new control method, Novel Model Predictive Control (NMPC), designed for the synchronous servo motor (SSM) drive. This yields fault analysis of machine drives in which the fault clearance time is a few milliseconds, where the machine operation remains continuous despite the fault and displays the performance in a much shorter time than the current control methods. In this paper, NMPC is designed for the synchronous servo motor (SSM) drive considering a single-phase open-circuit fault (SOCF) that occurs in an inverter. Implementation of the proposed algorithm has been performed using Lucas Nulle Servo Drive (LNSD) system. The complete analysis shows that the adoption of NMPC minimizes the fault clearance time compared to the existing control methods.