Microprocessor based Identification of SISO Sampled Data Systems using a Set of Sample-and-hold and Dirac Delta Functions

摘要

In this work, a sample-and-hold function (SHF) set and a Dirac delta function (DF) set are employed for microprocessor based identification of sample-and-hold systems as well as discrete time systems. The method is applicable for identification of control systems with known input and output sequences, in absence of measurement noise. It uses different operational transfer functions defined in SHF and DF domains to identify first order open loop as well as closed loop systems. The results of identification match nicely with the exact solutions derived via conventional z-transform analysis. Supporting experiments have also been carried out to establish the method.