TY - GEN
T1 - Research of RBF neural network PID control algorithm for longitudinal channel control of small UAV
AU - Wang, Shichao
AU - Li, Baokui
AU - Geng, Qingbo
PY - 2013
Y1 - 2013
N2 - An intelligent PID controller based on RBF neural network was designed for longitudinal attitude control of a small unmanned aerial vehicle (UAV) according to the feature of complexity and nonlinear; RBF neural network is used to real-time update the PIP parameters on line by its learning function for achieving the longitudinal channel control of the UAV; Simulation results show that the design of the RBF neural network PID controller has better control performance and it better satisfies the requirements of the longitudinal channel flight control of small UAV.
AB - An intelligent PID controller based on RBF neural network was designed for longitudinal attitude control of a small unmanned aerial vehicle (UAV) according to the feature of complexity and nonlinear; RBF neural network is used to real-time update the PIP parameters on line by its learning function for achieving the longitudinal channel control of the UAV; Simulation results show that the design of the RBF neural network PID controller has better control performance and it better satisfies the requirements of the longitudinal channel flight control of small UAV.
UR - http://www.scopus.com/inward/record.url?scp=84882305000&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2013.6565086
DO - 10.1109/ICCA.2013.6565086
M3 - Conference contribution
AN - SCOPUS:84882305000
SN - 9781467347075
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 1824
EP - 1827
BT - 2013 10th IEEE International Conference on Control and Automation, ICCA 2013
T2 - 2013 10th IEEE International Conference on Control and Automation, ICCA 2013
Y2 - 12 June 2013 through 14 June 2013
ER -