A Real-Time Identification Method of a Slow Process Parameters Using Adaptive IIR-OSLMS Filters

摘要

This paper present a real time identification of the parameters value of a slow process using adaptive IIR-OSLMS filters. This kind of process can be assimilating to a time constant and a delayed time. To ensure the convergence of the adaptive algorithm the initial values of the parameters can be compute using an on-line identification method. The measured temperature is affected by noise, so it was used a ALMS filter to reject the noise.