Optimal Implementation of d-q Frame Finite Control Set Model Predictive Control with LabVIEW

Finite Control Set Model Predictive Control emerges as a promising method for controlling power electronics inverters, outperforming traditional linear techniques. However, implementing Finite Control Set Model Predictive Control on conventional processors faces a significant computational burden due to its repetitive nature. This paper presents a novel approach that utilizes LabVIEW & Field Programmable Gate Arrays to address this computational bottleneck. By capitalizing on the inherent parallelism and suitability of Field Programmable Gate Arrays for discrete control problems, substantial computational advantages are achieved for Finite Control Set Model Predictive Control. The use of LabVIEW, a well-established platform in industrial and commercial solutions, ensures that this work is relevant not only academically but also for real-world industrial applications of FCS-MPC in power electronics and motor drives. This research successfully demonstrates the application of Finite Control Set Model Predictive Control for controlling the current of a motor-like load for a three-phase Voltage Source Inverter system in LabVIEW. To simplify the traditionally complex Field Programmable Gate Arrays programming process, user-friendly toolkits such as LabVIEW Control Design & Simulation, LabVIEW Real-Time, and LabVIEW FPGA Module are employed. This LabVIEW-based integration facilitates the execution of both concurrent and sequential Field Programmable Gate Arrays algorithms, leading to efficient Field Programmable Gate Arrays resource management and user-defined restrictions on maximum switching frequency, obviating the need for resource-intensive control methods for fast switches such as SiC and GaN IGBTs. The proposed controller is validated using an off-the-shelf computer turned into a real-time system but also on Field Programmable Gate Arrays for comparison purposes.