Current Control Algorithms for a Synchronous Reluctance Motor

In the contemporary industrial landscape, guaranteeing operational efficiency has become an imperative objective for sustaining and advancing company competitiveness.In addition, precise control of electric motors is essential to ensure the quality and reliability of industrial processes. The precision adjustment of motor speed and position is essential for efficient functioning of industrial machinery and automated systems.The primary aim of this paper is to compare various control strategies employed in modern industry for electric motors, with a focus on synchronous reluctance motors. In detail, various forms of control in this study were implemented, including PI (Proportional-Integral) control, PI with decoupling and Model Predictive Control (MPC).
PI control is a traditional control method that has been adapted and optimised to meet the specific requirements of the synchronous reluctance motor, taking into account its dynamics.
Decoupled control was implemented to mitigate the effects of interference between the different state variables, improving control accuracy.
In addition, Model Predictive Control (MPC) was introduced as an advanced approach that offers the possibility of considering future prediction of system behaviour and optimising control according to predetermined objectives.
This report presents a detailed comparative analysis of the performance of these control approaches applied to a synchronous reluctance motor. The results obtained in terms of dynamic response, stability and energy consumption are evaluated and compared.

Autors: Ing. Alberto Rubino (Spin) & Doctor Nicholas Minafra. In collaboration with Università degli Studi di Pavia