Neural network controller for two-degree-freedom helicopter control system

Citation

Abdul Rahman, Ribhan Zafira and Shoumy, Nusrat Jahan (2012) Neural network controller for two-degree-freedom helicopter control system. In: 12th International Conference on Control, Automation and Systems (ICCAS), 17-21 Oct. 2012, ICC, Jeju Island, Korea. (pp. 101-106).

Abstract

Now a day automatic flight control is a crucial issue especially for emergency services. One of the fittest candidates for such services is two-degree-freedom (2DOF) helicopter. Automatic control features of 2-DOF helicopter are usually approximated using the linear quadratic regulator (LQR), which can be further enhanced in-terms of Neural Network (NN). Hence, this paper presents the nonlinear flight control of 2DOF helicopter using NN. A back propagation, feed forward NN model is developer and employed to approximate the nonlinear control features of 2DOF helicopter using Matlab software. The effectiveness of the basic 2DOF helicopter NN controller is apparent (~ 2% pitch and 14% yaw improvement) compared to the conventional (LQR) methods.

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Official URL or Download Paper: https://ieeexplore.ieee.org/document/6393412

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
Publisher:	IEEE
Keywords:	2-DOF; Neural network
Depositing User:	Azian Edawati Zakaria
Date Deposited:	23 Jul 2015 03:14
Last Modified:	14 Nov 2019 03:04
URI:	http://psasir.upm.edu.my/id/eprint/39557
Statistic Details:	View Download Statistic

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