Title :
State and parameter estimation of CSTR using joint-UKF
Author :
Vafamand, N. ; Safarinejadian, B.
Author_Institution :
Dept. of Electr. Eng., Shiraz Univ. of Technol., Shiraz, Iran
Abstract :
In many of nonlinear chemical processes, EKF algorithm has been widely used. This algorithm is not suitable for severe nonlinear dynamics. Recently UKF is preferred. UKF has more accurate approximation, but still is not suitable for time varying dynamics. To overcome this deficiency, a nonlinear joint (state and parameter) estimation algorithm based UKF is presented, which is called as Joint-UKF. Joint-UKF, Dual-EKF, Joint-UKF are applied to a CSTR with cooling jacket in which the production of propylene glycol happens and the results of simulation are evaluated.
Keywords :
Kalman filters; chemical engineering; chemical reactors; cooling; nonlinear dynamical systems; nonlinear filters; organic compounds; parameter estimation; state estimation; time-varying systems; CSTR; chemical reactor; cooling jacket; dual-EKF; joint-EKF; joint-UKF algorithm; nonlinear chemical processes; nonlinear dynamics; nonlinear joint estimation algorithm based UKF; parameter estimation; propylene glycol production; state estimation; time varying dynamics; Chemical reactors; Estimation; Joints; Kalman filters; Noise measurement; Nonlinear dynamical systems; Vectors; CSTR; Parameter estimation; joint-UKF; state estimation; unscented Kalman filter;
Conference_Titel :
Control, Instrumentation, and Automation (ICCIA), 2013 3rd International Conference on
Conference_Location :
Tehran
DOI :
10.1109/ICCIAutom.2013.6912828
