Model Predictive Control for Nine Phase Induction Motor

Abstract

Using electric motors with a phase greater than three present some advantages over conventional three phase machines: higher reliability, reduced power per phase, increased torque density, and reduced torque pulsations. A nine-phase inverter implies 512 switching vectors in each one of its four harmonic planes. Recently, model predictive control (MPC) has attracted a wide attention in area of power converters and drives due to its various advantages like that of several control targets, variables and constraints can be included in single cost function and simultaneously controlled. Consequently, in this article performance of model predictive control is studied within the context of a nine-phase system. The motor is driven by a nine-phase power supply system, which means it has nine distinct windings or phases instead of the typical three in a three-phase system. This allows for more precise control of the motor's torque and speed, as well as better performance in terms of torque ripple reduction and efficiency. This article explores the principles and advantages of nine-phase MPC, particularly in applications such as robotics, electric vehicles, and industrial automation where high precision and dynamic performance are crucial.