Title :
A Moving Horizon State Estimation algorithm applied to the Tennessee Eastman Benchmark Process
Author :
Kraus, Tom ; Kuhl, Peter ; Wirsching, Leonard ; Bock, Hans Georg ; Diehl, Moritz
Author_Institution :
Interdisciplinary Center for Sci. Comput., Heidelberg Univ.
Abstract :
A moving horizon state estimation algorithm (MHE) is applied to the nonlinear and unstable Tennessee Eastman process, a well-known benchmark problem in the chemical process engineering community. The estimator fuses past measurements within a given time horizon and calculates the actual states in a maximum-likelihood fashion. The calculations are based on a first-principles process model. The arising least-squares optimization problem is solved numerically by the direct multiple shooting technique. Due to an intelligent real-time iteration approach, estimation CPU times lie between 0.5 and 4.5 seconds on a standard PC. Furthermore, an upper bound of the CPU time needed for one estimation task can be determined a priori. This makes the proposed MHE a true real-time algorithm for state estimation
Keywords :
chemical engineering; iterative methods; least squares approximations; maximum likelihood estimation; nonlinear control systems; state estimation; Tennessee Eastman benchmark process; chemical process engineering; direct multiple shooting technique; least-squares optimization problem; maximum-likelihood fashion; moving horizon state estimation algorithm; nonlinear process; real-time iteration approach; Chemical processes; Fuses; Intelligent systems; Nonlinear systems; Optimization methods; Parameter estimation; Scientific computing; State estimation; Time measurement; Upper bound;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2006 IEEE International Conference on
Conference_Location :
Heidelberg
Print_ISBN :
1-4244-0566-1
Electronic_ISBN :
1-4244-0567-X
DOI :
10.1109/MFI.2006.265620