The Performance Quantitative Method of Data Acquisition System Based on Model Identification
In some complex control system, the performance of data acquisition system has a direct impact of the performance index of the whole control system, so it has the important significance that research the accurate assessment method of data acquisition system. This paper put forward a performance quantitative method of data acquisition system based on model identification. Its basic idea is as follows: treating transverse impact response of finite length units (FIR) filter as system model to obtain the system characteristics of the sinusoidal signal amplitude and phase shift characteristics as indexes. In the system identification, the channel parameters of system is iterated by the least mean square (LMS) algorithm, equate the output of system in response to sinusoidal signal, and obtain the transmission characteristic of the sinusoidal signal of data acquisition system; Finally, the simulation test of the algorithm is performed by the computer software, experimental results show that LMS reflects accurately the data acquisition characteristic of system, and provides a good analysis way for performance appraisal of acquisition system.
model identification data acquisition system performance quantitative methods FIR
Liu Jialei Hou Guifa
Computer Science and Information Engineering Department An Yang Institute Of Technology An Yang, P.R.China
国际会议
长春
英文
350-353
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）