Research of RBF neural network PID control algorithm for longitudinal channel control of small UAV

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 PID parameters on line by its learning function f...

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Bibliographic Details
Published in2013 10th IEEE International Conference on Control and Automation (ICCA) pp. 1824 - 1827
Main Authors Shichao Wang, Baokui Li, Qingbo Geng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Aerospace control
Automation
Equations
Mathematical model
Neural networks
PD control
Simulation
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ISBN9781467347075
1467347078
ISSN1948-3449
DOI10.1109/ICCA.2013.6565086

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Summary: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 PID 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.
ISBN:9781467347075
1467347078
ISSN:1948-3449
DOI:10.1109/ICCA.2013.6565086