Title :
Nonlinear system identification: Comparison between PRBS and Random Gaussian perturbation on steam distillation pilot plant
Author :
Md Shariff, Haslizamri ; Fazalul Rahiman, Mohd Hezri ; Tajjudin, Mazidah
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
Abstract :
This paper is proposed to model the steam temperature on steam distillation pilot plant using system identification. Random Gaussian Signal (RGS) and Pseudo Random Binary Sequence (PRBS) have been implemented to this system to perturb the input of the process. The objective of using different perturbation signal is to study their capability to excite the nonlinearity behavior of system dynamic. The linear and nonlinear Auto Regressive with Exogenous Input (ARX) model structures is used to estimate and validate the temperature output model of steam distillation pilot plant. Both models will be compared to study the performance and flexibility. The validation test is performed by using auto-correlation function (ACF), cross-correlation function (CCF) and model fit.
Keywords :
Gaussian processes; autoregressive processes; chemical industry; distillation equipment; nonlinear control systems; temperature control; ACF; CCF; PRBS; RGS; auto regressive with exogenous input model; auto-correlation function; cross-correlation function; linear ARX model; model fit; nonlinear ARX model; nonlinear system identification; perturbation signal; pseudo random binary sequence; random Gaussian signal; steam distillation pilot plant; steam temperature; validation test; Correlation; Data models; Mathematical model; Nonlinear dynamical systems; System identification; Temperature measurement; Linear Auto Regressive With Exogenous Input (ARX); Nonlinear Auto Regressive With Exogenous Input (NARX); Pseudo Random Binary Sequence (PRBS); Random Gaussian Signal (RGS); auto-correlation function (ACF); cross-correlation function (CCF);
Conference_Titel :
System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-1028-1
DOI :
10.1109/ICSEngT.2013.6650183
