Weight-Adaptable Disturbance Observer for Continuous-Control-Set Model Predictive Control of NPC-3L-Fed PMSMs

Zhenyan Liang, Jiang Wang, Yitong Wu () and Zhen Zhang ()
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Zhenyan Liang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Jiang Wang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Yitong Wu: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Zhen Zhang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

Energies, 2025, vol. 18, issue 21, 1-17

Abstract: This paper presents a cascaded control strategy for neutral-point-clamped three-level (NPC-3L) inverter-fed permanent magnet synchronous motors (PMSMs), integrating continuous-control-set model-predictive control (CCS-MPC) with mid-point voltage regulation and an online Lyapunov-stable neural-network (NN) disturbance observer. The outer CCS-MPC loop optimizes voltage vector application for accurate current tracking and harmonic suppression, while the inner loop balances mid-point voltage by adjusting the dwell times of P/N small-voltage vectors (VVs). The NN-based disturbance observer compensates parameter mismatches in real time, reducing steady-state dq -axis current errors. To validate the effectiveness of the proposed strategy, experiments are conducted using a three-phase PMSM fed by three-phase NPC-3L inverters. Experimental results demonstrate substantial improvements in mid-point voltage balance, current quality, and robustness against model uncertainties.

Keywords: permanent magnet synchronous motors (PMSM); continuous-control-set model predictive control (CCS-MPC); neutral-point-clamped three-level (NPC-3L) inverters; mid-point voltage; parameter mismatch; disturbance observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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