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Abstract：
Conventionally, the electromechanical system requires the installation of auxiliary displacement sensors and only the amount on the drive part and motion end, which increases volume, cost, and measurement error in the system. This paper presents an integrated measurement method with a sensing head, which takes the equal division characteristics of mechanical structures as part of the sensor, thus, the so-called self-sensing system. Moreover, the displacement is measured by counting the time pulses. The sensing head is integrated with the entire electromechanical system, including the driving, transmitting, and moving parts. Thus, the integration of the sensing part is greatly improved. Taking the rotary table as a special example, and the sensing head embedded into each part of the system, displacement information is obtained by the common processing system and fused by the adaptive weighted average method. The results of the experiment show that the fusion precision of each component is higher than only the motor position information as the feedback. The proposed method is a practical self-sensing technology with significant volume reduction and intelligent control benefits in the industry, especially suitable for extremely small and narrow spaces.
摘要：
传统上,机电系统需要安装辅助位移传感器，并且仅在驱动部分和运动末端上安装量，这增加了音量，成本,和系统中的测量误差。本文提出了一种带有传感头的集成测量方法，将机械结构的等分特性作为传感器的一部分，因此，所谓的自感系统。此外，通过对时间脉冲进行计数来测量位移。传感头与整个机电系统集成，包括开车,传输，和移动部件。因此，大大提高了传感部分的集成度。以转盘为例，和传感头嵌入到系统的每个部分，位移信息由通用处理系统获得，并通过自适应加权平均法进行融合。实验结果表明,各分量的融合精度高于仅将电机位置信息作为反馈。所提出的方法是一种实用的自传感技术，在行业中具有显着的体积减小和智能控制优势，特别适用于极小和狭窄的空间。
