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首页> 外文会议>IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics >Speed Sensorless Model Predictive Control Based on Disturbance Observer for Induction Motor Drives
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Speed Sensorless Model Predictive Control Based on Disturbance Observer for Induction Motor Drives

机译：基于干扰观测器的速度无传感器模型预测控制，用于感应电动机驱动器

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摘要

Model predictive control (MPC) is emerging as a powerful control scheme for high performance control of induction motor (IM) drives due to its fast torque response. In this paper, a full-order observer-based speed sensorless MPC method is studied. However, in conventional MPC design, the torque reference in the cost function is generated by the proportional-integral (PI) speed controller, thus the torque reference's generation rate is not fast and its accuracy is low especially when the load torque is given suddenly and the inertia value is varying. This paper investigates a speed sensorless model predictive control based on disturbance observer (DOB) for induction motor drives. The disturbance observer is used as the feed-forward compensation part for the PI controller, and it not only improves the torque reference's rate, but also enhances the robustness against load disturbance and inertia variations. The simulation results verified the effectiveness of the proposed method.
机译：模型预测控制（MPC）是由于其快速扭矩响应引起的电动机（IM）驱动器高性能控制的强大控制方案。本文研究了一种全阶观察者的无传感器MPC方法。然而，在传统的MPC设计中，成本函数中的扭矩参考由比例积分（PI）速度控制器产生，因此扭矩参考的产生速率不快速，并且其精度低，特别是当突然赋予负载扭矩时惯性值是不同的。本文研究了基于扰动观察者（DOB）的速度无传感器模型预测控制，用于感应电动机驱动器。干扰观察器用作PI控制器的前馈补偿部分，而且它不仅可以提高扭矩参考速率，而且还提高了对负载扰动和惯性变化的鲁棒性。仿真结果证实了该方法的有效性。

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