Title :
Design a low price and high performance sensor network using constrained-based unscented Kalman filter
Author :
Moradi, Ebrahim ; Salahshoor, Karim ; Rezagholizadeh, Mehdi
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
Abstract :
This paper presents a new methodology to design an instrumentation sensor network for nonlinear processes. The goal is to design a high performance and low price sensor network. The proposed approach utilizes constrained state estimation based on the unscented Kalman filter (UKF) approach to cater for some known signal information which is often either ignored or dealt with heuristically. The approach employs a clipping methodology to implement the constraints, leading to an optimal sensor network with less number of sensors. A benchmark continuous stirred tank reactor (CSTR) is used to evaluate the performance of the new method. The obtained simulation results validate the effectiveness of the new method.
Keywords :
Kalman filters; chemical engineering; chemical reactors; chemical sensors; distributed sensors; state estimation; constrained-based Kalman filter; continuous stirred tank reactor; instrumentation sensor network; nonlinear process; state estimation; unscented Kalman filter; Accuracy; Chemical reactors; Covariance matrix; Inductors; Kalman filters; Mathematical model; Temperature measurement; CSTR; Constrained Kalman Filter; Data Reconciliation; RMSE; Sensor Network Design; UKF;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1