Adaptive Neural Control Algorithm Design for Attitude Stabilization of Quadrotor UAV
| Autor: | Mohammed Lamine Zegai, Kheira Belhadri, Benatman Kouadri |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Adaptive control Artificial neural network business.industry MathematicsofComputing_NUMERICALANALYSIS Open-loop controller PID controller ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering Attitude control Computer Science::Systems and Control Control and Systems Engineering Control theory Neural control Algorithm design MATLAB business computer computer.programming_language |
| Zdroj: | International Review of Automatic Control (IREACO). 9:390 |
| ISSN: | 1974-6067 1974-6059 |
| DOI: | 10.15866/ireaco.v9i6.9919 |
| Popis: | This paper presents a new adaptive neural network control scheme to stabilize the attitude of the quadrotor helicopter. The dynamic model was developed via Newton−Euler formalism. The robust adaptive control is then realized using neural network (NN) algorithm based on a PID controller in the aim to adjust its gain parameters. The proposed algorithm is developed to adapt the structure of the conventional PID controller to a dynamic PID controller. Finally, the proposed controller is compared with that classical PID controller using MATLAB/Simulink. The simulation results show that the neural PID controller produces better performance than the conventional one, particularly in case of perturbation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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