Home /Research /Hovering control based on fuzzy neural networks for biomimetic flying robotic
LEARNING

Hovering control based on fuzzy neural networks for biomimetic flying robotic

Qing Guo, HU Ming-lang, Ruixuan Wei, Jie Xu, Hongfei Song

Year
2008
Citations
5

Abstract

A strategy of designing flight controller for insect-like flapping wing micro air vehicle (FMAV) is presented. Body dynamics and the control mechanics used by flying insect are presented. The analysis of these mechanics and models showed the feasibility of using fuzzy neural networks (FNN) controller to achieve high maneuverability by biologically inspired. To the authorspsila knowledge, a simple FNN controller only by adjusting mid-stroke angle of attack and flip start timing was proposed and simulated with a virtual insect-like FMAV; the simulation demonstrates stable flight performance in hover stabilization.

Keywords

FlappingController (irrigation)Artificial neural networkComputer scienceControl theory (sociology)Fuzzy logicControl engineeringBiomimeticsFuzzy control systemWing

Related papers

Browse all LEARNING papers