Manurung, Auralius and Kristiana, Lisa and Aryanta, Dwi (2021) An Energy Balance Model Parameter Estimation with an Extended Kalman Filter. International Federation of Automatic Control (IFACS) Papers Online, 54 (20). pp. 735-740.
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Abstract
This paper presents modeling and parameter estimation of a thermal system, which is often nonlinear, with nonlinearities found in its parameters. As a result, it requires an additional online parameter estimation. In this paper, we implement an Extended Kalman Filter for modeling and parameter identification of such a device. The thermal device that we use is an educational device developed in-house. First, we derive the device’s mathematical model using a zero-order energy balance model as the template model. Next, we find the model’s best parameters by performing an optimization process. Finally, we implement an Extended Kalman Filter technique to accommodate the possibility that those parameters may change over time. Our experiments show that when we have reliable measurements and a reliable system model, the Kalman filtering technique can perform well as an online parameter estimator and act as a basis to build an adaptive model.
| Item Type: | Article |
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| Subjects: | L Education > L Education (General) Q Science > Q Science (General) |
| Divisions: | Karya Tulis Ilmiah |
| Depositing User: | Azizullah Putri Akbar |
| Date Deposited: | 31 Mar 2023 03:59 |
| Last Modified: | 31 Mar 2023 03:59 |
| URI: | http://eprints.itenas.ac.id/id/eprint/2200 |
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