感应同步器测角系统误差建模

Error modeling of inductosyn angle measuring system

为了提高测角系统的精度,建立了基于离线数据辨识的误差补偿模型.根据实际测量得到的测角系统在一个机械周期内（0°-360°）的全零位误差数据和多个检测周期内的细分误差数据,提出了一种基于FFT分析结果与误差机理模型相结合的建模方法,利用测角系统的误差与感应同步器自身误差之间具有强相关性的特点,用离线数据辨识的误差模型对在线数据进行实时补偿.仿真结果表明,建立的零位误差和细分误差补偿模型将测角系统的全误差从±15″减小至±2.″与传统的误差模型比较,该模型适用性广,有较高的补偿精度.

A error compensation model based on offline data identification is established to improve the precision of angle measuring system. According to the test data of pinch errors in a mechanical cycle and subdivision errors in many measuring cycles Of an angle measuring system, a modeling method based on the combination of FFT analysis and theoretical error model is proposed. Considering the characteristic that test errors of measuring system are closely related to inductosyn errors, the error model identified by offline data is used to compensate online error data. Simulation results show that the proposed pinch error arid subdivision error compensation nlodel reduces the whole errors of svstem from ±15″ to ±2″. Compared with the theoretical error model, this model achieves higher compensating precision and wider application.