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논문검색

Enhanced Data Driven Model-Free Adaptive Yaw Control of Unmanned-Aerial-Vehicle Helicopter

초록

영어

In this paper, an enhanced data driven model-free adaptive yaw control tracking control scheme is proposed for the yaw channel of an unmanned-aerial-vehicle helicopter that is non-affine in the control input. By dynamic linearization and observer techniques, the proposed control algorithm is only based on the PPD parameter estimation derived online from the I/O data of the controlled system, and Lyapunov-based stability analysis is used to prove all signals of close-loop control system are bounded. Compared with the traditional model free adaptive control, the proposed enhanced model free control algorithm can make the closes-loop control system with stronger robustness and better anti-jamming ability. Finally, the simulation results of the dynamic model of a real helicopter-on-arm are offered to demonstrate the effectiveness of the proposed new control techniques.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Main Results
 4. Simulation Results
 5. Results and Discussions
 References

저자정보

  • Hongcheng Zhou College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China, Institute of Information, JinLing Institute of Technology, Nanjing 211169, China
  • Daobo Wang College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Dezhi Xu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi 214122, China

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