DocumentCode
572928
Title
Research on fractional order two-degrees-of-freedom flight control technology of unmanned air vehicle
Author
Geng Feng ; Zhu Xiao-ping
Author_Institution
Sci. & Technol. Lab. on UAV, Northwestern Polytech. Univ., Xian, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
807
Lastpage
812
Abstract
In order to satisfy the requirements of flight control system about command tracking performance, disturbance rejection performance and robustness, a fractional order two-degrees-of-freedom PID control technology is introduced in pitch control system design of UAV. A given value filter type fractional order two-degrees-of-freedom PID controller which consists of the given value filter and the fractional order PID (FOPID) controller is proposed. In the fractional order PID controller design, Nelder-Mead´s simplex method is adopted to ensure the control system has the best disturbance rejection performance and robustness, and during the design of the given value filter, a particle swarm optimization (PSO) algorithm is used to make the control system satisfy the requirements of the command tracking performance. The simulation result shows that the designed pitch control system has good control qualities and robustness.
Keywords
aerospace control; autonomous aerial vehicles; nonlinear programming; particle swarm optimisation; robust control; three-term control; FOPID controller; Nelder-Mead simplex method; PSO algorithm; UAV; command tracking performance; disturbance rejection performance; fractional order PID controller design; fractional order two-degrees-of-freedom PID control technology; fractional order two-degrees-of-freedom flight control technology; particle swarm optimization algorithm; pitch control system design; robustness; unmanned air vehicle; value filter type fractional order two-degrees-of-freedom PID controller; Optimization; Robustness; fractional order PID (FOPID); pitch control; two-degrees-of-freedom; unmanned air vehicle (UAV);
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308976
Filename
6308976
Link To Document