High Accuracy Real-Time Simulation of Synchronous Reluctance Motor Drive Using Parallel Processing

This paper presents a parallel processing approach to the real-time simulation of electrical drives. In a real-time simulation, the plant model runs on the same target controller and at the same control rate as the actual application. Hence, the plant model must be as accurate and the integration step of its solver as small as possible. The computing capabilities of the Texas Instruments Delfino F28379S microcontroller, specifically the availability of the Control Law Accelerator coprocessor, are explored using MATLAB/Simulink. A synchronous reluctance motor drive, challenging due to intrinsic nonlinearities and fast transients, is considered. The subdivision of control and plant modeling tasks between the Central Processing Units and the Control Law Accelerator and their synchronization issues are presented and discussed. For a better evaluation, different solver algorithms are analyzed. A detailed comparison between experimental tests and real-time simulations completes the work.