Robust Multiobjective Model Predictive Control with Computation Delay Compensation for Electric Vehicle Applications Using PMSM with Multilevel Inverter

Abstract

The Three-Level Neutral-Point-Clamped (3L-NPC) inverter fed Permanent Magnet Synchronous Motor (PMSM) drive is an attractive configuration for high performance Electric Vehicle (EV) applications. For such configuration, due to their high performances, the Finite-Control-Set Model Predictive Control (FCS-MPC) is a very attractive control solution. The FCS-MPC scheme is based on the prediction of the future behavior of the controlled variables using the dynamic model of PMSM and the discrete nature of the 3L-NPC inverter. However, the parametric uncertainties and time-varying parameters affect the FCS-MPC algorithm performances. In this paper, robust FCS-MPC controls based on “dynamic error correction” (DEC) and “modified revised prediction” (MRP) are proposed to improve the FCS-MPC robustness without affecting the controller performances and complexity. The proposed strategies are improved also by multiobjective (MO) algorithm optimization and computation delay compensation. The simulation results included prove the performance in robustness and efficiency of the proposed robust FCS-MPC-DEC.

Multi-objective Predictive Control of 3L-NPC Inverter Fed Sensorless PMSM Drives for Electrical Car Applications

“…It also provides a low harmonic content line current with a THD of 1.69% at 60 Hz for heavy load operation. In this case, there is a considerable decrease in THD compared to the work of [21] where a THD of 9.33% at 27 Hz for a fundamental current of 3.027 A was obtained, that of [10] where a THD of 3.21% was obtained at 40 Hz for a fundamental current of 6.3 A and that of [3] where a THD of 2.12% was obtained for an asynchronous machine. This was achieved by using the 3-level NPC inverter whose output voltage is shown in Figure 5.a) The superposition of the observed rotor angle with that measured by a sensor shown in Figure 6 allows the effectiveness of the sliding mode observer of the rotor speed and electrical angle to be verified.…”

“…By introducing the second-order identity matrix into (10), the discrete equation of the sliding-mode observer is deduced by (10).…”

“…The optimization is done in two steps but the switching frequency remains variable and high. To overcome the issue of high and variable switching frequency inherent in most control algorithms, [10] proposes an algorithm that improves robustness and performance of FCS-MPC by providing "dynamic error correction" and "modified revised prediction" with reduced switching frequency.…”

“…The algorithm is built on three essential steps in order to make the calculation digestible and simulated under Matlab/Simulink. A comparison of the results obtained is made with those of [3], [10], [11], [14], [19], [21] and [22].…”

Review of Permanent Magnet Synchronous Motor Fed by Multilevel Inverter

“…From the comparative study, the MLI provided torque ripple, and the harmonic content of the stator output current is less than the SPWM inverter. In [48], the Finite-Control-Set Model Predictive Control (FCS-MPC) with a three-level NPC is developed to feed the PMSM.…”