Closed-Loop Field-Weakening Strategy for Induction Motor Model Predictive Control Based on Generalized Flux Error
Zhang Xu1, Xi Shuhan1, Zhang Yongchang1, Luo Bixiong2, Sun Yanqian2
1. School of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 China; 2. China Power Engineering Consulting Group Co. Ltd Beijing 100015 China
Abstract：Single vector model predictive current control (SV-MPCC) stands out due to its remarkable ability to enhance transient response performance while minimizing computational complexity. Compared with vector control, the control object of SV-MPCC is no longer the fundamental current component but directly generates the inverter switching state concerning the current vector prediction value. Thus, SV-MPCC can only obtain the output fundamental voltage amplitude according to the switching state to construct a voltage closed-loop field-weakening (FW) structure. The actual fundamental voltage as feedback in the FW region is often less than expected, which cannot reflect the actual voltage saturation situation compared to the expected fundamental voltage. However, in the SV-MPCC system, the expected fundamental voltage cannot be directly obtained, causing a dynamic problem with the existing closed-loop FW strategy. For this reason, most SV-MPCC systems rely on open-loop FW strategies based on motor model calculations, often leading to inadequate robustness and reduced modulation ratio control accuracy. This paper introduces a closed-loop FW control method for SV-MPCC systems using generalized flux error. An accurate quantitative relationship is established between generalized flux error and stator voltage requirements by transforming the transient current equation and incorporating the generalized flux vector reference value, initial value, and increments. Subsequently, the generalized flux vector plane is designed to define the maximum range of the generalized flux error vector. When the generalized flux error exceeds the limit range, the excess amount is fed back to the FW controller to generate the FW current component to compensate for the flux current in real time, thereby realizing indirect closed-loop control of the inverter output voltage. This strategy optimizes the utilization of the DC-Link voltage, effectively prevents voltage saturation, and avoids the increase of current tracking error under the SV-MPCC control strategy. Compared with the traditional open-loop FW strategy based on the motor model, the proposed closed-loop FW control strategy is sensitive to the change of inductance parameters, which exhibits high robustness and is independent of the motor parameters. The designed FW controller uses the generalized flux error as the control variable to perform closed-loop FW control, expanding the speed range of the induction motor. Experimental results show that the proposed FW method can improve the acceleration performance and load capacity of the induction motor in the FW region.
张旭, 郗姝涵, 张永昌, 罗必雄, 孙衍谦. 基于广义磁链误差的感应电机模型预测控制闭环弱磁策略[J]. 电工技术学报, 2025, 40(20): 6499-6510.
Zhang Xu, Xi Shuhan, Zhang Yongchang, Luo Bixiong, Sun Yanqian. Closed-Loop Field-Weakening Strategy for Induction Motor Model Predictive Control Based on Generalized Flux Error. Transactions of China Electrotechnical Society, 2025, 40(20): 6499-6510.
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