北京航空航天大学学报 ›› 2021, Vol. 47 ›› Issue (2): 414-423.doi: 10.13700/j.bh.1001-5965.2020.0207

• 论文 • 上一篇    下一篇

飞行器栖落机动的轨迹跟踪控制及吸引域优化计算

王无天, 何真, 岳珵   

  1. 南京航空航天大学 自动化学院, 南京 211106
  • 收稿日期:2020-05-24 发布日期:2021-03-08
  • 通讯作者: 何真 E-mail:hezhen@nuaa.edu.cn
  • 作者简介:王无天,男,硕士研究生。主要研究方向:飞行控制;何真,女,博士,副教授,硕士生导师。主要研究方向:飞行控制、非线性控制、智能控制;岳珵,男,硕士研究生。主要研究方向:飞行控制。
  • 基金资助:
    国家自然科学基金(61873126)

Trajectory tracking control and optimal computation of attraction domain for aircraft in perching maneuvers

WANG Wutian, HE Zhen, YUE Cheng   

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2020-05-24 Published:2021-03-08

摘要: 针对固定翼飞行器栖落机动的纵向运动,研究了栖落机动轨迹跟踪控制设计与吸引域优化计算方法。首先,根据栖落动力学模型和栖落过程中各个状态量的约束,用广义伪谱法生成标称轨迹,以此为基础设计了分段线性轨迹跟踪控制律。然后,在平方和(SOS)算法的基础上计算出栖落轨迹的吸引域,以保证吸引域内的飞行器能最终栖落在目标区域。最后,进一步改进吸引域的迭代优化计算方法以扩大吸引域范围。仿真结果验证了栖落机动轨迹跟踪控制律的有效性,并表明运用所设计的吸引域优化计算方法可以获得更大的吸引域。

关键词: 轨迹跟踪控制, 广义伪谱法, 吸引域, 栖落机动, 平方和(SOS)算法

Abstract: For the longitudinal movement of fixed-wing aircraft in perching maneuvers, the perching trajectory control design and the optimization method of attraction domains are investigated. First, according to the perching dynamics model and the constraints of states during the perching, the nominal trajectory was generated by using the general pseudo-spectral method. Then, based on this, a piecewise linear trajectory tracking control law was designed. Based on the Sum-of-Squares (SOS) method, the attraction domain of the trajectory control system is calculated to ensure that the UAV in the attraction domain can ultimately perch in the target area. Finally, the iterative computation algorithm of the attraction domain is further improved to expand the scope of the attraction domain. The simulation results verify the effectiveness of the trajectory tracking control law of the perching maneuver, and show that the attraction domain is enlarged by using the proposed computation algorithm of attraction domain.

Key words: trajectory tracking control, general pseudo-spectral method, attraction domain, perching maneuvers, Sum-of-Squares (SOS) method

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