Signal Estimation for UAV Control Loop Identification Using Artificial Immune Systems
| Autor: | Leonardo de Mello Honório, H. B. Rezende, L. A. Z. Silva, V. F. Vidal, M. F. Silva, A. A. N. Pancoti, J. M. S. Ribeiro, M. F. Santos, Augusto Santiago Cerqueira, B. A. Regina |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Artificial immune system Computer science Computer Science::Neural and Evolutionary Computation Artificial immune system algorithm 02 engineering and technology Signal Computer Science::Robotics Identification (information) 020901 industrial engineering & automation Control theory Control system 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Metaheuristic |
| Zdroj: | 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC). |
| DOI: | 10.1109/icstcc.2018.8540706 |
| Popis: | The paper aims to estimate a signal that best provides the identification of a quadrotor type Unmanned Aerial Vehicle angular control loop using a bioinspired metaheuristic Artificial Immune System algorithm. The angular control loop was approximated by a second-order system using the Recursive Least Square method. The results were satisfactory, presenting, in general, a rich enough signal to provide a correct estimation of the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|