Adaptive PID Control of UAV Altitude Dynamics Based on Parameter Optimization with Fuzzy Inference - Volume 6 Number 4 (Aug. 2016) - ijmo
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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(4): 246-251 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.534

Adaptive PID Control of UAV Altitude Dynamics Based on Parameter Optimization with Fuzzy Inference

Amr Sarhan and Shiyin Qin
Abstract—This paper developed an adaptive PID flight controller based on parameter optimization with fuzzy inference for controlling the altitude dynamics of the Aerosonde UAV. The online fuzzy inference is used as a self-adaptive mechanism for tuning the PID parameters. The proposed adaptive PID flight controller is compared with two other controllers. The first controller is the genetically-tuned PID controller, and the other is the fuzzy logic controller. The simulation results show the good performance characteristics and good robust stability for the proposed adaptive PID controller.

Index Terms—PID control, fuzzy control, adaptive PID control, UAV.

Amr Sarhan and Shiyin Qin are with School of Automation Science and Electrical Engineering in Beihang University (Beijing University of Aeronautics and Astronautics) Beijing, China (e-mail: amrsarhan_39@hotmail.com, qsy@buaa.edu.cn).

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Cite: Amr Sarhan and Shiyin Qin, "Adaptive PID Control of UAV Altitude Dynamics Based on Parameter Optimization with Fuzzy Inference," International Journal of Modeling and Optimization vol. 6, no. 4, pp. 246-251, 2016.

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