Title :
The nonlinear characteristics diagnosis of the superheated steam temperature control system
Author :
Yinsong Wang ; Liyan Huo ; Tongxiang He ; Yanquan Liu
Author_Institution :
Autom. Dept., North China Electr. Power Univ., Baoding, China
Abstract :
The nonlinear characteristics is an important factor that influences the control system performance, it is a valuable work in the domain of control system performance monitor to diagnose the nonlinear characteristics and its scale of the control system. For the superheated steam temperature control system of the thermal power generation unit, this paper uses the bispectrum and the bicoherence of a stationary time series to form the non-Gaussian index(NGI) and the nonlinear index(NLI), and diagnoses the nonlinear characteristics and its scale in the control system. The results are shown to demonstrate its feasibility and validity by analyzing the MATLAB simulation data and the actual operation data.
Keywords :
control nonlinearities; control system analysis; temperature control; thermal power stations; time series; MATLAB simulation data; NGI; NLI; control system performance monitoring; nonGaussian index; nonlinear characteristics diagnosis; nonlinear index; stationary time series bicoherence; stationary time series bispectrum; superheated steam temperature control system; thermal power generation unit; Estimation; Indexes; Power generation; Temperature; Temperature control; Temperature sensors; non-Gaussian index; nonlinear characteristics; nonlinear index; superheated steam temperature control system;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566374
