论文部分内容阅读
无速度传感器对精度要求很高,外界低能量震动会给传感器的精度造成很大影响,后期处理较难过滤这种干扰;为了解决这一问题,以TMS320LF2407DSP信号处理芯片为基础,设计了一种低振动信号处理的无速度传感器;针对低能量信号容易被干扰、很难被采集这一难点,在硬件上设计了功率驱动电路实现对低振动信号放大,同时还在软件上设计了一种信号提纯算法,把转换生成的电流和电压信号,通过伪提取矢量来提取占优的源信号的采样值,恢复被干扰的传感器源信号;实验结果表明该算法能精确地辨识无速度传感器的参数,具有较好的鲁棒性,输入相电流波形较好,误差极小,和理论分析基本相符。
Speed sensorless high precision, low energy vibration outside the sensor will have a great impact on the accuracy of the post-processing more difficult to filter this interference; In order to solve this problem, the TMS320LF2407DSP signal processing chip based on the design of a Low-vibration signal processing speed sensor; for low-energy signals are easily interfered with, it is difficult to be collected this difficulty, the hardware design of the power drive circuit to achieve low vibration signal amplification, but also designed a software signal The algorithm extracts the current and voltage signals generated by the transformation and extracts the sampled values of the dominant source signal through the pseudo-extraction vector to recover the disturbed sensor source signals. The experimental results show that the proposed algorithm can accurately identify the parameters of the sensorless speed sensor, Has good robustness, good input phase current waveform, very small error, basically consistent with the theoretical analysis.