Adaptive Fuzzy Controller Design Based on Aircraft Model

Yu Qing Li; Chong Lei

doi:10.4028/www.scientific.net/AMM.556-562.2470

Paper Titles

Adaptive Fault-Tolerant Control for a Class of Nonlinear MIMO Systems with Matched and Mismatched Uncertainties
p.2452

Design of Underwater Rocket Fuse all Electronic Safety Control System
p.2458

Genetic Algorithm-Based Parameters Optimization for the PID Controller Applied in Heave Compensation System
p.2462

Adaptive Sliding Mode Control of Servo System
p.2466

Adaptive Fuzzy Controller Design Based on Aircraft Model
p.2470

Research of Fuzzy Control System of Temperature Control Fan
p.2474

Annular Heating Furnace Temperature Control Based on the Fuzzy-PID Algorithm and Cascade Double-Cross Limiting Control
p.2478

The Technology Research of State Observer Design for Second-Order Control System
p.2483

Perpetual Topology Control in Energy Harvesting Sensor Network
p.2487

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Adaptive Fuzzy Controller Design Based on Aircraft...

Adaptive Fuzzy Controller Design Based on Aircraft Model

Abstract:

According to the attitude control equation and the equations of fluid mechanics, build dynamic model .The system simulation method and the MATLAB software were used to study on the aircraft model for several different controller system, which including PID controller, T-S fuzzy controller, The adaptive fuzzy controller design. Analysis of interference signals on the performance of the aircraft control system, consider the overshoot, steady-state error, resistance to load disturbance and parameter changes adaptability, robustness. Finally, It is concluded that different controller of vehicle performance index, and then analysis from the advantages of adaptive fuzzy control in the aspect of aircraft model.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2470-2473

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2470

Citation:

Cite this paper

Online since:

May 2014

Authors:

Yu Qing Li*, Chong Lei

Keywords:

Adaptive, Fuzzy Control, PID Control, Robustness, Stability, T-S Fuzzy Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Lijie Xu, Chaoyang Dong and Qing Wang: Journal of aerospace, Vol. 29 (2008) No. 2, p.590.

Google Scholar

[2] Jianliang Meng, Yanyan Yang and Li Yang: Network control system modeling, qualitative analysis and design(Beijing University of Aeronautics and Astronautics Press, China 2003).

Google Scholar

[3] Hong Zhang, Huajing Fang and Xianping Ren: Journal of Wuhan University of Technology, Vol. 36 (2012) No. 1, p.203.

Google Scholar

[4] Jun Liang and Li Du: Information and Control, Vol. 27 (1998) No. 3, p.197.

Google Scholar

[5] Qige Ye, Chenhao Wang, Jie Wu: Automation of Electric Power Systems, Vol. 21 (1997) No. 11, p.49.

Google Scholar

[6] Tao Bai: Networked Control System Performance Analysis and Scheduling Optimization (Ph.D. Shanghai Jiaotong University, China 2005), p.31.

Google Scholar