伺服驱动中旋转传感器的自标定与降噪

J. Faber
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引用次数: 19

摘要

在许多工业运动控制应用中,旋转传感器被用作绝对位置传感器,这些应用需要鲁棒性和在恶劣环境下运行的能力。在实际系统中,位置和速度测量的质量受到分解器误差和噪声的严重影响。本文将基于软件的误差补偿技术集成到驱动器的控制结构中。该补偿方案可在线适应解析器信号中的误差,以提高测量位置和速度的精度。采用过采样和平均技术来降低噪声,提高分辨率。仿真验证了补偿方案的性能和对驱动运行的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-calibration and noise reduction of resolver sensor in servo drive application
Resolver sensor is utilized as absolute position transducer in many industrial motion-control applications where robustness and ability to operate in harsh environment is required. In real system, the quality of position and speed measurement is badly affected by the resolver errors and by the noise. In this paper, the software-based error-compensation technique is integrated into the control structure of the drive. The compensation scheme adapts online to the errors in the resolver signals in order to improve accuracy of the measured position and speed. Oversampling and averaging technique is used to reduce noise and improve resolution. The performance of the compensation scheme and the effect on the drive operation is verified by simulation.
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