Finite Control Set Model Predictive Torque Control Considering Dynamic and Steady‐State Control Performance for SMPMSM Drives

Abstract

In order to improve the dynamic and steady-state performance of the finite control set model predictive torque controlled surface-mounted permanent magnet synchronous motor drive system, a novel finite control set model predictive torque control (FCS-MPTC) with different dynamic and steady-state control schemes is proposed in this paper. When the SMPMSM drive system operates at transient state, the optimal basic voltage vector of inverter is the vector that minimizes torque tracking error, the proposed FCS-MPTC achieves fast dynamic response based on the optimal torque control. When the system operates at steady state, the relative importance of torque to the stator flux amplitude is calculated based on the quantitative analysis of minimum staggered errors between motor torque and stator flux amplitude control objectives, then the priority weighting factors based on the relative importance are determined online adaptively, the optimal control of motor torque and stator flux amplitude is achieved simultaneously. Finally, the comparison of the experimental results of proposed FCS-MPTC with different control methods is implemented and research conclusion is shown.

Improved Sequential Model Predictive Control of Cascaded H‐Bridge Multilevel Converter

“…Generally speaking, traditional FCS‐MPC is not suitable for the cascaded structure with multiple SMs. This is because when the number of SM of the converter increases, the calculation of FCS‐MPC increases exponentially [31–33]. Besides, with multiple control objectives, the design of weighting factors of FCS‐MPC is also a tricky problem [34,35].…”