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Improved Weighting Factor Selection for Predictive Torque Control of Induction Motor Drive Based on a Simple Additive Weighting Method

机译：基于简单加法的改进加权因子预测电机控制转矩预测

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摘要

A predictive torque control (PTC) technique is emerging as an effective alternative for induction motor drives because of its simple structure, ability to include control parameters directly into the cost function, and fast dynamic response. To implement PTC for induction motor drive, both stator flux and torque errors are predicted for each switching state of the converter and the combined error is determined with the help of cost function using a suitable stator flux weighting factor. However, the selection of suitable weighting factor is a tedious and complex task. In this paper, a simple additive weighting method is introduced in the cost function optimization to simplify the weighting factor selection process. To observe the effectiveness of the proposed control algorithm, both simulation and experimental results are presented for a two-level voltage-source-inverter-fed induction motor drive and compared with conventional PTC under various operating conditions. The proposed control technique achieves low-torque ripple along with reduced switching frequency.
机译：预测转矩控制（PTC）技术由于其简单的结构，将控制参数直接包含在成本函数中的能力以及快速的动态响应，正在成为感应电动机驱动器的有效替代方案。为了将PTC用于感应电动机驱动，需要针对转换器的每个开关状态预测定子磁链和转矩误差，并使用合适的定子磁链加权因子借助成本函数确定组合误差。然而，选择合适的加权因子是一项繁琐而复杂的任务。本文在成本函数优化中引入了一种简单的加法加权方法，以简化加权因子的选择过程。为了观察所提出的控制算法的有效性，给出了两电平电压源-逆变器馈电的感应电动机驱动器的仿真和实验结果，并与各种工作条件下的常规PTC进行了比较。所提出的控制技术实现了低转矩纹波以及降低的开关频率。

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