Title :
Model identification and control of a small-scale unmanned helicopter
Author :
Guanlin Wang ; Jihong Zhu ; Hui Xia
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
Modeling is the basis of flight control system for unmanned helicopters. In this paper, modes partition method and structure traversal (MPM/ST) method is applied to derive the dynamic models of a small-scale unmanned helicopter, and thereby afford improved accuracy for flight controller design. Increment proportional integral derivative (IPID) controller is applied to each channel to compose the core-dynamic controller, which is designed to follow the hover command of an outer-loop controller. The simulation results showed significant benefits of the proposed approach in flight-control design for unmanned helicopters.
Keywords :
aerospace control; helicopters; remotely operated vehicles; three-term control; IPID controller; MPM/ST method; flight control system; flight controller design; increment proportional integral derivative controller; model identification; modes partition method; outer-loop controller; small-scale unmanned helicopter; structure traversal method; Adaptation models; Aerodynamics; Attitude control; Data models; Helicopters; Robots; Rotors; flight control; model identification; unmanned helicopter; verification;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028789