Abstract：In conventional model predictive control (MPC), the torque and the stator flux amplitude are selected as the control variables, which require a weighting factor in the cost function. However, there is no mature theoretical guidance to solve the problem of weighting factor tuning and most existing solution is based on the error and trial procedure, restricting the application of MPC in industry applications. This paper proposes a solution of model predictive flux control (MPFC) by investigating the inherent relationship in the machine and converting the control of torque and stator flux to an equivalent stator flux vector. Hence, the control complexity is reduced. To improve the practicality of the system, this paper combines speed adaptive full order observer with MPFC to achieve sensorelss operation. Furthermore, space vector modulation (SVM) is used to generate the gating pulses, which improves the steady state performance and low speed operation ability with load. The proposed method is verified on a two-level inverter-fed induction motor drive by using simulation and experimental tests. The results confirm that the proposed sensorless MPFC has good steady state and dynamic performance over a wide speed range.
张虎, 张永昌, 夏波, 杨海涛. 基于空间矢量调制的感应电机无速度传感器模型预测磁链控制[J]. 电工技术学报, 2017, 32(3): 97-104.
Zhang Hu, Zhang Yongchang, Xia Bo, Yang Haitao. Speed Sensorless Model Predictive Flux Control of Induction Motor Drives Based on Space Vector Modulation. Transactions of China Electrotechnical Society, 2017, 32(3): 97-104.
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2017, Vol. 32 
