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アクチュエータ設計arXiv:2310.00080

軽量ロボットシステム設計のためのブラシレス電動機モデリング手法

How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems

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軽量ロボット設計で重要なBLDCモータのモデリングについて、支配方程式を整理し、q軸DC等価表現への変換や巻線損失・トルク・バス電圧推定の誤りを解説したチュートリアル。

著者: Ung Hee Lee, Tor Shepherd, Sangbae Kim, Avik De, Hao Su, Robert Gregg, Luke Mooney, Elliott Rouse

分類: cs.RO

原文アブストラクト

A key step in the development of lightweight, high performance robotic systems is the modeling and selection of permanent magnet brushless direct current (BLDC) electric motors. Typical modeling analyses are completed a priori, and provide insight for properly sizing a motor for an application, specifying the required operating voltage and current, as well as assessing the thermal response and other design attributes (e.g.transmission ratio). However, to perform these modeling analyses, proper information about the motor's characteristics are needed, which are often obtained from manufacturer datasheets. Through our own experience and communications with manufacturers, we have noticed a lack of clarity and standardization in modeling BLDC motors, compounded by vague or inconsistent terminology used in motor datasheets. The purpose of this tutorial is to concisely describe the governing equations for BLDC motor analyses used in the design process, as well as highlight potential errors that can arise from incorrect usage. We present a power-invariant conversion from phase and line-to-line reference frames to a familiar q-axis DC motor representation, which provides a ``brushed'' analogue of a three phase BLDC motor that is convenient for analysis and design. We highlight potential errors including incorrect calculations of winding resistive heat loss, improper estimation of motor torque via the motor's torque constant, and incorrect estimation of the required bus voltage or resulting angular velocity limitations. A unified and condensed set of governing equations is available for designers in the Appendix. The intent of this work is to provide a consolidated mathematical foundation for modeling BLDC motors that addresses existing confusion and fosters high performance designs of future robotic systems.

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