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

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...

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Main Authors: Abdul Rahman, Ribhan Zafira, Shoumy, Nusrat Jahan
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/39557/
http://psasir.upm.edu.my/id/eprint/39557/1/Neural%20network%20controller%20for%20two-degree-freedom%20helicopter%20control%20system.pdf
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author Abdul Rahman, Ribhan Zafira
Shoumy, Nusrat Jahan
author_facet Abdul Rahman, Ribhan Zafira
Shoumy, Nusrat Jahan
author_sort Abdul Rahman, Ribhan Zafira
building UPM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T09:46:13Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:46:13Z
publishDate 2012
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-395572019-11-14T03:04:47Z http://psasir.upm.edu.my/id/eprint/39557/ Neural network controller for two-degree-freedom helicopter control system Abdul Rahman, Ribhan Zafira Shoumy, Nusrat Jahan 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. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/39557/1/Neural%20network%20controller%20for%20two-degree-freedom%20helicopter%20control%20system.pdf 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). https://ieeexplore.ieee.org/document/6393412
spellingShingle Abdul Rahman, Ribhan Zafira
Shoumy, Nusrat Jahan
Neural network controller for two-degree-freedom helicopter control system
title Neural network controller for two-degree-freedom helicopter control system
title_full Neural network controller for two-degree-freedom helicopter control system
title_fullStr Neural network controller for two-degree-freedom helicopter control system
title_full_unstemmed Neural network controller for two-degree-freedom helicopter control system
title_short Neural network controller for two-degree-freedom helicopter control system
title_sort neural network controller for two-degree-freedom helicopter control system
url http://psasir.upm.edu.my/id/eprint/39557/
http://psasir.upm.edu.my/id/eprint/39557/
http://psasir.upm.edu.my/id/eprint/39557/1/Neural%20network%20controller%20for%20two-degree-freedom%20helicopter%20control%20system.pdf