自适应数据采集与重构算法仿真研究

The Study of the Simulation of Adaptive Data Acquisition and Reconstruction Algorithm

针对固定采样周期和输入输出增益的动态信号数据采集观测失效问题,以二阶系统的阶跃响应过渡过程为研究对象,提出了一种采样周期和信号增益自适应数据采集与重构算法,能够根据实时系统的结构参数自动调整采样周期、数据采集输入调整倍率和数据重构输出匹配倍率,从而自动适应信号幅值和过渡过程调节时间的变化,实现有效观测。设计了自适应数据采集与重构MATLAB仿真程序,并借助一组具有代表性的检验试样运行验证了这种算法的正确性。

Taking the step response of second-order system as the research objects, an adaptive algorithm of the data acquisition about the sampling period and signal amplitude reconstruction is proposed, it aims at the observed failures of the data collection process of dynamic signal with the fixed sampling period and the I/O gain. The sampling time period, inputadjusting-rate of the data acquisition and output-matching-ratio of the data reconstruction can be automatically regulated on the basis of the structural parameters of the real-time system by this adaptive algorithm, so that it can automatically adapt to the changes of the signal amplitude and the adjusting time of the transition process, thus to achieve effective observation. The MATLAB simulation program of the adaptive data acquisition and reconstruction are designed and the correctness of this algorithm is verified by using a group of representative test samples.