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


Citation

Abdul Rahman, Ribhan Zafira and Shoumy, Nusrat Jahan 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 / Synopsis

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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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Publisher: IEEE
Keywords: 2-DOF; Neural Network; Automatic flight control; Linear quadratic regulator(LQR); Nonlinear flight control
Depositing User: Azian Edawati Zakaria
Date Deposited: 23 Jul 2015 11:14
Last Modified: 23 Jul 2015 14:34
URI: http://psasir.upm.edu.my/id/eprint/39557
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