We are pleased to share that our recent journal paper “FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter” by Huawen Yao, Henry Shu-hung Chung, and Alan Wai-Lun Lo has been published in IEEE Transactions on Power Electronics (October 2025):
- Huawen Yao, Henry Shu-hung Chung, and Alan Wai-Lun Lo, “FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter,” IEEE Transactions on Power Electronics, October 2025.
Paper Abstract
The conventional finite-control-set model predictive control (FCS-MPC) method for matrix converters faces significant challenges of high computational demands and parameter uncertainty. To address these issues, an FCS-MPC approach that combines space vector preselection with online parameter identification is proposed. This method greatly reduces the computational load associated with determining the switching state for each cycle by employing a simplified state-trajectory prediction model for the input filter and decreasing the number of candidate switching states from 27 to 5. Additionally, it allows for continuous monitoring of input filter components and load conditions, integrating this functionality into the control mechanism to enhance overall system performance. The use of multi-processor system-on-chip (MPSoC) devices provides high parallelism and flexibility, enabling the algorithm to execute within 10 μs and facilitating a high sampling frequency, which leads to improved converter performance including total harmonic distortion and power factor. Experimental results from a prototype validate the effectiveness of the proposed approach across various power conversions, including AC/AC, AC/DC, DC/AC, DC/DC, and bidirectional power transfer.
The research team members
Hong Kong Chu Hai College
- Alan Wai Lun Lo, Full Professor, Director of Quality Assurance, Head, Department of Computer Science
City University of Hong Kong
- Huawen Yao,Centre for Smart Energy Conversion and Utilization Research, Department of Electrical Engineering
- Henry Shu-hung Chung, Centre for Smart Energy Conversion and Utilization Research, Department of Electrical Engineering
Some photos from the authors and papers
Experimental results with the proposed online parameter identification method activated at time tₐ:
(a) Verification for AC/AC conversion (iₒₐ: 5A/div, vₛₓ: 100V/div, iₛₓ: 5A/div, Timebase: 10ms/div),
(b) THDs of output current and source current before activating the identification method for AC/AC conversion,
(c) THDs of output current and source current after activating the identification method for AC/AC conversion,
(d) Verification for DC/AC conversion (iₒₐ, iₒ_b, iₒ_c, iₛₓ: 5A/div, Timebase: 10ms/div),
(e) THDs of output currents before (left) and after (right) activating the identification method for DC/AC conversion.
