Open AccessAttitude control of fixed-wing UCAV based on adaptive fuzzy PID
Author(s) -
Shuo Ku,
Dali Ding,
Weili Yang,
Wei-Ping Zhu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/715/1/012099
Subject(s) - control theory (sociology) , pid controller , decoupling (probability) , nonlinear system , attitude control , fuzzy logic , fixed wing , state space , computer science , fuzzy control system , stability (learning theory) , engineering , control engineering , control (management) , mathematics , physics , wing , aerospace engineering , temperature control , artificial intelligence , statistics , quantum mechanics , machine learning
Aiming at the nonlinear and strong coupling characteristics of the fixed-wing UCAV’s rigid body six-degree-of-freedom model, an adaptive fuzzy PID attitude control method was designed based on expert experience. The nonlinear model of UCAV was linearized with the principle of small disturbance, thus the state space expressions of longitudinal and lateral channels were obtained and the decoupling of the longitudinal and lateral channels was achieved. To verify the designed adaptive fuzzy PID controller, the simulation was carried out aiming at the pitch angle and velocity of the longitudinal channel and the roll angle of the lateral channel. The result showed that the designed controller had faster responsive speed and higher stability, and it could control the UCAV to achieve the desired attitude effectively.