NEURAL NETWORK CONTROLLER DESIGN FOR QUADROTOR IN REAL TIME
Keywords:
Artificial Neural Networks, Quadrotor, Real Time Hardware in the Loop SimulationAbstract
In this study, a neural network assisted real-time controller has been designed for highly nonlinear quadrotor orientation control. As controlled dynamic system, a highly nonlinear quadrotor model were used in this study. The controller has been designed with neural networks for Quadrotor attitude and trajectory control, and this controller’s performance was compared against the classical PID controller’s performance. These controllers for dynamic systems performance evaluations were made with the help of real-time experimental setup. Attitude and trajectory controls have done for designed controllers performance evaluation. Neural network performance was compared against the classical PID controller which was designed in the same experimental setup. Designed controllers robustness was tested with pulse inputs. We observed that neural network assisted controller was more succesful than PID controller in more complicated nonlinear dynamic systems, both in attitude and trajectory control performance. We comment that with today’s microcontroller technology, neural networks are faster and more simple for designing controllers for highly nonlinear dynamic systems.
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References
Network Control of Quadrotor UAV Formations”
Missouri University of Science and Technology, Rolla
[2] Travis Dierks, S. Jagannathan, “Output
Feedback Control of a Quadrotor UAV Using Neural
Networks” Missouri University of Science and
Technology, Rolla
[3] Yue Bai, Xun Gong, Yan Tao Tian, “Stability
Control of Quadrotor Based On Explicit Model
Following with Inverse Model Feedforward Method”,
Jilin University, China
[4] O. Bouhali, H. Boudjjedir, “Neural Network
Control with Neuro-Sliding Mode Observer Applied
to Quadrotor Helicopter”, Jijel University, Algeria
[5] Mehmet Önder Efe, “Neural Network Assisted
Computationally Simple PID Control of a Quadrotor
UAV”, Bahcesehir University, Turkey
[6] Simone Formentin, Marco Lovera, “Flatness
Based Control of a Quadrotor Helicopter via
Feedforward Linearization” , Milano Politeknik,
Milano
[7] Emanuel Stingu, Frank L. Lewis, “An
Approximate Dynamic Programming Based
Controller for an Underactuated 6DOF Quadrotor”,
University of Texas, Arlington
[8] Ender Ortak, 2010, “4 Rotorlu Bir İnsansız
Hava Aracı (Quadrotor) İçin Bulanık Kontrolcü
Tasarımı Ve Simülasyonu “,Yıldız Teknik
Üniversitesi Makine Mühendisliği Bölümü İstanbul.
[9] Bayrakceken, M.K.; Arisoy, A.; "An
Educational Setup for Nonlinear Control Systems:
Enhancing the motivation and learning in a targeted
curriculum by experimental practices" Control
Systems, IEEE , vol.:33, issue:2, pp. 64-81, April
2013.
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The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.
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