Alternating Sequential Model Predictive Control of Matrix Converter

Zhang, Jianwei; Rivera, Marco; Wheeler, Patrick

Abstract

Weighting factor design is one of the challenges faced by model predictive control (MPC) when multiple control objectives are to be achieved simultaneously. This paper proposes an alternating sequential MPC (ASMPC) in which the cost functions are evaluated in alternating order, avoiding the weighting factor selection and the need to determine the evaluation order for each cost function. Reduced computational burden is achieved at the same time. The proposed ASMPC has been applied to the control of a matrix converter and simulation results verify the feasibility and effectiveness of the proposed controller. The proposed ASMPC can be readily adapted and used for other power electronic converters.

Citation

Zhang, J., Rivera, M., & Wheeler, P. (2023, June). Alternating Sequential Model Predictive Control of Matrix Converter. Presented at 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023, Wuhan, China

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
• Start Date: Jun 16, 2023
• End Date: Jun 19, 2023
• Acceptance Date: Jul 4, 2023
• Online Publication Date: Jul 11, 2023
• Publication Date: Jul 11, 2023
• Deposit Date: Aug 11, 2023
• Publicly Available Date: Aug 11, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 310-315
• Book Title: 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
• ISBN: 979-8-3503-9687-4
• DOI: https://doi.org/10.1109/precede57319.2023.10174403
• Keywords: Alternating Sequential Model Predictive Control; Model Predictive Control (MPC); Matrix Converter; Weighting Factor
• Public URL: https://nottingham-repository.worktribe.com/output/23472300