Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (9): 90-95,101.doi: 10.3969/j.issn.1000-565X.2014.09.016

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Robust Flight Control Law Design of Unmanned Aerial Vehicle Based on Baseline- Augmented Control Structure

Yang Yi Chen Xin Li Chun- tao   

  1. College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
  • Received:2014-03-10 Revised:2014-05-09 Online:2014-09-25 Published:2014-08-01
  • Contact: 杨艺(1985-),男,博士生,主要从事无人机飞行控制技术研究. E-mail:kkndext@126.com
  • About author:杨艺(1985-),男,博士生,主要从事无人机飞行控制技术研究.
  • Supported by:

    航空科学基金资助项目(20125852057);江苏省普通高校研究生科研创新计划资助项目(CXLX12_0159);南京航空航天大学中央高校基本科研业务费专项基金资助项目

Abstract:

Flying unmanned aerial vehicles can be easily affected by such uncertain factors as disturbance andunmodeled dynamics.In order to solve this problem,a new robust flight control law design method is proposed.Based on the framework of a baseline controller and an augmented compensator,the baseline controller uses arobust servomechanism LQR control method so as to provide the basic command to track the control input.Then,by using the ideal closed loop system of the baseline controller as a reference model,the augmented compensator onthe basis of robust model- reference adaptive control algorithm is constructed,so that the adverse effect caused bybounded disturbance and unmodeled dynamics is reduced.Theoretical analysis demonstrates that the proposedcontrol law is able to ensure the closed- loop system of being stable and the output tracking error of being bounded inthe presence of bounded disturbance and unmodeled dynamics.The comparative nonlinear simulation resultsdemonstrate that the proposed control system is able to reject various kinds of disturbances,indicating that the pro-posed system is effective and robust.

Key words: Unmanned Aerial Vehicle, Flight control, Robust Servomechanism LQR, Robust Model reference control

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