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Follow-up study of aircraft parameter estimation for lateral dynamics using self-adaptive teaching-learning based optimization with acceptance probability |
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| รหัสดีโอไอ | |
| Creator | 1. Yodsadej Kanokmedhakul 2. Nantiwat Pholdee |
| Title | Follow-up study of aircraft parameter estimation for lateral dynamics using self-adaptive teaching-learning based optimization with acceptance probability |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2568 |
| Journal Title | Engineering and Applied Science Research |
| Journal Vol. | 52 |
| Journal No. | 3 |
| Page no. | 251-259 |
| Keyword | Aircraft parameter estimation, Aircraft lateral dynamics, System identification, Evolutionary algorithm, Self-adaptive algorithm |
| URL Website | https://ph01.tci-thaijo.org/index.php/easr/index |
| Website title | Engineering and Applied Science Research |
| ISSN | 2539-6161 |
| Abstract | This paper is a follow-up on using self-adaptive teaching-learning based optimization with an acceptance probability (SATLBO-AP), tailored specifically for aircraft parameter estimation, and extended to aircraft lateral dynamics, previously tested for aircraft longitudinal dynamics. The lateral dynamic is more complicated than the longitudinal with additional parameters, input and output. Since the problem has changed, the performance of SATLABO-AP requires reevaluation. Thus, a comparison between newly developed algorithms and recently proposed algorithms is conducted. The problem setup is carried out in a way similar to earlier work, but with a lateral dynamic. The results show that SATLBO-AP outperforms other algorithms in terms of convergence and consistency regarding noise level added to the validation signal. |
