Quadrotor UAV trajectory tracking based on iterative self learning control
Authors
Li-ben Yang, Wei-guo Zhang, De-gang Huang
Corresponding Author
Li-ben Yang
Available Online May 2015.
- DOI
- 10.2991/asei-15.2015.39How to use a DOI?
- Keywords
- Quadrotor UAV; self-learning control; Iterative correction; Trajectory tracking
- Abstract
In order to solve the problems in the traditional control method of Quadrotor UAV, Such as weak anti-interference ability and system modeling error has a greater impact on the tracking performance, A trajectory tracking algorithm based on self-learning control is designed. The algorithm can control the object accurately by the iterative correction. To control the unknown object in a certain time, have good anti-interference ability, It has good control effect for the uncertain system and nonlinear coupling system, As the structure of the control algorithm is relatively simple, So it is easy to implement in actual system. The simulation results verify the feasibility of the algorithm.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li-ben Yang AU - Wei-guo Zhang AU - De-gang Huang PY - 2015/05 DA - 2015/05 TI - Quadrotor UAV trajectory tracking based on iterative self learning control BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 182 EP - 187 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.39 DO - 10.2991/asei-15.2015.39 ID - Yang2015/05 ER -