Sensorless and On-line Parameter Estimation with Model Predictive Control of IPMSMs

M. X. Bui, Le Khac Thuy, D. Xiao, M. F. Rahman
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引用次数: 1

Abstract

This paper proposes a sensorless and inductance estimation methods with model predictive control for the interior permanent magnet synchronous motor (IPMSM). The model predictive direct torque and flux control with constant PWM cycle is applied to the control system. The rotor speed and position are estimated based on the current slopes at one active and one zero volage vector during every PWM period where the duty cycle of the active voltage vector is controlled. In addition, the prediction of machine torque and flux is enhanced by the online identification of machine inductances. Extensive numerical simulation has been implemented to validate the robustness and the effectiveness of the proposed sensorless and inductance estimation methods.
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基于模型预测控制的ipmms无传感器在线参数估计
提出了一种基于模型预测控制的内置永磁同步电动机无传感器和电感估计方法。将恒PWM周期的模型预测直接转矩和磁链控制应用于控制系统。在控制有源电压矢量占空比的PWM周期内,根据一个有源电压矢量和一个零电压矢量处的电流斜率估计转子的转速和位置。此外,通过对电机电感的在线识别,增强了对电机转矩和磁链的预测。通过大量的数值仿真来验证所提出的无传感器和电感估计方法的鲁棒性和有效性。
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