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未知风场扰动下无人机三维航迹跟踪鲁棒最优控制

张坤 高晓光

张坤, 高晓光. 未知风场扰动下无人机三维航迹跟踪鲁棒最优控制[J]. 电子与信息学报, 2015, 37(12): 3009-3015. doi: 10.11999/JEIT150047
引用本文: 张坤, 高晓光. 未知风场扰动下无人机三维航迹跟踪鲁棒最优控制[J]. 电子与信息学报, 2015, 37(12): 3009-3015. doi: 10.11999/JEIT150047
Zhang Kun, Gao Xiao-guang. Robust Optimal Control for Unmanned Aerial Vehicles Three-dimensional Trajectory Tracking in Wind Disturbance[J]. Journal of Electronics & Information Technology, 2015, 37(12): 3009-3015. doi: 10.11999/JEIT150047
Citation: Zhang Kun, Gao Xiao-guang. Robust Optimal Control for Unmanned Aerial Vehicles Three-dimensional Trajectory Tracking in Wind Disturbance[J]. Journal of Electronics & Information Technology, 2015, 37(12): 3009-3015. doi: 10.11999/JEIT150047

未知风场扰动下无人机三维航迹跟踪鲁棒最优控制

doi: 10.11999/JEIT150047
基金项目: 

国家自然科学基金(60774064)和教育部博士点基金(20116102110026)

Robust Optimal Control for Unmanned Aerial Vehicles Three-dimensional Trajectory Tracking in Wind Disturbance

Funds: 

The National Natural Science Foundation of China (60774064)

  • 摘要: 该文提出一种未知风场扰动下无人机精确3维航路跟踪的鲁棒最优控制律。该控制律基于跟踪虚拟目标的思想,将风场扰动加入无人机运动方程,采用反馈线性化将无人机的非线性动力学方程变换为线性状态方程。假设风场扰动已知的条件下,采用线性二次型调节器推导出能够跟踪3维航路的最优控制律。进一步考虑未知的风场扰动,设计鲁棒控制项代替最优控制律中的风场参数,得到能够抑制未知有界风场干扰的鲁棒最优控制律,并采用Lyapunov稳定性理论证明该闭环系统的全局渐近稳定性。仿真表明该控制律能够实现在未知风场扰动下无人机精确3维航迹跟踪,且具有良好的跟踪性能。
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  • 被引次数: 0
出版历程
  • 收稿日期:  2015-01-07
  • 修回日期:  2015-08-02
  • 刊出日期:  2015-12-19

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