PERBANDINGAN METODE KALMAN FILTER DAN ENSEMBLE KALMAN FILTER DALAM MENGESTIMASI KONDUKSI PANAS PADA KEPING LOGAM DUA DIMENSI YANG DIBERI GANGGUAN (Comparison of Kalman Filter and Ensemble Kalman Filter Method in Estimating the Two Dimensional Heat Conduction with Disturbing)

Abstract

Kalman Filter (KF) is one method to estimate a problem using state of the system and measurement models. The algorithms developed in the KF can only be implemented on any linear dynamic model, which is then developed an algorithm that modifies KF so it can be implemented on a nonlinear dynamic model. The algorithm that has been developed is the Extended Kalman Filter (EKF) and the Ensemble Kalman Filter (EnKF). The purpose of this study was to determine the accuracy of the comparison results KF and EnKF method in two dimensional heat conduction with disturbing. The stages are conducted literature review on heat conduction models, the model discretization, noise addition, KF and EnKF algorithm implementation, analyzes the simulation results. After analyzing the simulation results obtained in estimating the best method of heat conduction in a twodimensional metal pieces are given disorder.