DC Motor Temperature Control in Haptic Devices**

触觉设备中的直流电机温度控制**

• 批准号: 536985-2018
• 负责人: Aghdam, Amir
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=643543
• 关键词: DC; Motor; Temperature; Control; Haptic

Motor overheat is a common problem in the field of haptics rendering. Typically, haptic system manufacturers include some sort of overheat protection in haptic devices, either by shutting down the device or reducing the maximum current when measured temperature reaches dangerous levels. However, the existing heating protection techniques are not efficient as they generally do not use the current state of the motor in addressing the problem. More precisely, they mainly use a fixed protection system regardless of the operating condition of the motor. In this proposal, a novel temperature control mechanism is considered to use the model of the DC motor in the haptic system to estimate the current condition of the motor and generate a compensating feedback control signal, in an adaptive fashion, accordingly. Advanced model-predictive control techniques will be used to generate the control signal. Furthermore, optimization methods will be used to minimize the effect of heating compensation in the overall performance of the haptic system.

电机过热是触觉渲染领域的常见问题。 通常，触觉系统制造商会在触觉设备中加入某种过热保护措施，方法是在测量温度达到危险水平时关闭设备或降低最大电流。 然而，现有的热保护技术效率不高，因为它们通常不使用电机的当前状态来解决问题。 更准确地说，它们主要使用固定的保护系统，无论电机的运行状况如何。 在该提案中，考虑了一种新颖的温度控制机制，使用触觉系统中的直流电机模型来估计电机的当前状况，并相应地以自适应方式生成补偿反馈控制信号。 先进的模型预测控制技术将用于生成控制信号。 此外，还将使用优化方法来最小化加热补偿对触觉系统整体性能的影响。