Vision, Challenges, and Future Trends of Model Predictive Control in Switched Reluctance Motor Drives

Abstract

Switched Reluctance Motors (SRMs) have become a popular alternative to replace permanent magnet machines in high-performance emerging applications such as automotive and aerospace. However, its market attractiveness is limited by the difficulty in control given its nonlinear behaviour. Model predictive control (MPC) is a promising solution to deal with this problem as per its notable features to deal with complex systems, nonlinearities and constraints. Still, the applications in SRMs are at an early stage compared to other drives. This paper aims to discuss the recent advancements and challenges in MPC for SRMs and a vision of its future developments and applications. The article describes the main difficulties in SRM control and the different approaches adopted to date by MPC to solve them. It also analyzes the control objectives that should still be considered in SRM drives, their particular challenges and how recent MPC developments in other AC drives can be adapted to the SRM case. The paper then proposes a roadmap of future works to achieve a unified and reliable control strategy that boosts SRM to outperform other drives, relating the control objectives to its potential applications.

Evolution of Equipment in Electromobility and Autonomous Driving Regarding Safety Issues

“…In line with these steps, skewed or double stator or radial rotor topologies will help mitigate vibrations and electromagnetic interference [249]. According to References [250] and [112], because magnets may eventually be absent from future electric motors , limitations on the use of permanent magnet electric motors, or their replacement by switched reluctance motors (SRMs), is suggested. A two-stack conventional switched reluctance motor is depicted in the following figure (Figure 10).…”

Robust Predictive Control Scheme for Permanent-Magnet Synchronous Generators Based Modern Wind Turbines

“…where T e (t) = 3 2 n p ψ p i q s (14) is the electro-magnetic machine torque and T m is the mechanical torque. Θ is the rotor inertia and n p is the pole pair number.…”

“…In the last few years, predictive control techniques have been widely applied for power electronics circuits, electrical machines, micro-grids, and others. The well-known strategies of the predictive control are as follows: continuous-set predictive control (CS-PC) [11,12], finite-set predictive control (FS-PC) [13,14], and deadbeat predictive control (DB-PC) [15,16]. The CS-PC is characterized by its constant switching frequency, non-linearity, ability to include constraints, etc.…”

A Review on Predictive Control Technology for Switched Reluctance Motor System

“…Their simple structure enables them to operate safely at elevated temperatures and speeds [8]. Due to advancements in power electronics, finite element analysis (FEA), and control theory, SRMs are increasingly used in various industries [9], including hybrid electric vehicles [10][11][12][13][14][15][16][17][18][19], smart building, starter generators [20], aircraft, and electric vehicles [21][22][23][24][25][26][27][28][29].…”