Aviation Flight Attitude Control Technology

Jun Hu

doi:10.4028/www.scientific.net/AMM.716-717.1567

Paper Titles

Research on TSC Type Reactive Power Compensation Control System for Coal Mine Based on STM32
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The Simulation and Analyses of Timing-Optimal Trajectory Planning for 6DOF Robot
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Design of the Automatic Spraying Equipment for Tubular Parts
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Design of Intelligent Traffic Light Control System Based on Multi CPU
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Aviation Flight Attitude Control Technology
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Synchronization Controller Design for Chaotic System with Input Sampled-Data Missing
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The Combined Simulation of High-Speed Parallel Manipulator Based on MATLAB, SolidWorks and ADAMS
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Dual Closed-Loop Electric Power Steering System on the Mixed H₂/H_∞ Control Strategy
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Based on PLC the Automatic Constant Pressure Control Water Supply System Design
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 716-717Aviation Flight Attitude Control Technology

Aviation Flight Attitude Control Technology

Abstract:

This paper presents a range of two miniature spacecraft attitude Fuzzy Neural Network Sliding adaptive controller, using a weighting factor to combine indirect and direct fuzzy neural network controller fuzzy neural network controller. Interval two free parameters of fuzzy neural network adaptive sliding mode controller via output feedback control law and adaptive law be adjusted online. Simulation results show that after joining 10db Gaussian white noise, and in order to reduce the impact of external interference and noise training data, a controller with respect to the range of large amount of control type II generated by the controller. Overall adaptive scheme guarantees the global stability of the closed-loop system, all signals involved are bounded in some way, and also showed a high level of tracking performance.

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Periodical:

Applied Mechanics and Materials (Volumes 716-717)

Pages:

1567-1571

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.716-717.1567

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Online since:

December 2014

Authors:

Jun Hu*

Keywords:

Adaptive Control, Flight Attitude, Synovial

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* - Corresponding Author

References

[1] Sun Qiang. Based on fuzzy neural network Doubly Salient Permanent Magnet Motor Nonlinear Modeling [J] Control Theory and Applications, 2007, 27 (4): 601-605.

Google Scholar

[2] Zhu Junwei servo brushless DC motor control system [D] Harbin: Harbin Institute of Technology, (2008).

Google Scholar

[3] Li Jie, Yu Chuan aircraft carrier-based aircraft landing equipment [J] Modern Military, 2006, (10): 56-58.

Google Scholar

[4] Husong Jie, Wang Xin, Liu Lin satellite constellation and formation flying problem Review [J] Progress in Astronomy, 2003, 21 (3): 231-240.

Google Scholar

[5] sheets together new, paradigm of a new golden double sliding mode control power reaching law [J] Control and Decision, 2013, 28 (2): 289-293.

Google Scholar

[6] Wu Tong Sen, fees Yuhua flight control system [M] Beijing: Beijing University of Aeronautics and Astronautics Press . (2005).

Google Scholar

[7] Bi Kaibo aircraft guidance and control and MATLAB simulation technology [M] Beijing: National Defense Industry Press, 2009.

Google Scholar

[8] to impatiens. Fuzzy neural network controller in the spacecraft attitude control [J]. Aerospace Control, 2009, 1: 43-48.

Google Scholar

[9] Chi-Huang Lu, Ching-Chih Tsai. Generalized predictive control using recurrent fuzzy neural networks for industrial processes [J]. Journal of Process Control, 2007, 17(1): 83-92.

DOI: 10.1016/j.jprocont.2006.08.003

Google Scholar