Cart (Loading....) | Create Account
Close category search window

Multivariable PID Neural Network based flight control system for small-scale unmanned helicopter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Guangping Qi ; Sch. of Aerosp. Sci. & Eng., Beijing Inst. of Technol., Beijing, China ; Ping Song ; Kejie Li

To design the flight control system (FCS) of small-scale unmanned helicopter is still a difficult challenge today. The hardware and software architecture of FCS was designed in this paper. And one novel control approach based on multivariable PID neural network (MPIDNN) was firstly used to design the FCS of small-scale unmanned helicopter on the hardware platform. MPIDNN is suitable for controlling the multi-input multi-output (MIMO), nonlinear, highly coupled, uncertain and dynamic system such as helicopter. Both the training and study algorithm based on target function and MPIDNN forwards algorithm were designed in this control system. The result of simulation indicates that the training algorithm can solve the offline training and study problem of small-scale unmanned helicopter. The forwards algorithm can control the flight of helicopter well and its maximum magnitude of error is about 1%. Simulation shows that the performance of our control approach is perfect.

Published in:

Information and Automation, 2009. ICIA '09. International Conference on

Date of Conference:

22-24 June 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.