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综合TF/TA飞行的航迹控制与仿真 被引量:2

Control and Simulation of Integrated TF/TA Flight Path Tracking
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摘要 在超低空突防过程中 ,有效的航迹跟踪控制算法是飞行器顺利完成综合地形跟随 /地形回避 ( TF/ TA)飞行任务的保证。在综合 TF/ TA飞行过程中 ,由于飞行器需作大机动飞行 ,纵、横向之间存在严重耦合 ,常规的航迹跟踪控制算法亦不适用。本文将六自由度飞机状态方程描述为纵、横向两个子系统所构成的关联大系统 ,并在一定的假设条件下将两者之间的耦合成分分别看作纵、横的控制量的一部分 ,然后利用大系统变结构控制理论 ,对 TF/ TA飞行的纵、横向的轨迹控制律进行独立设计 ,降低了理论研究和工程实现的难度。仿真例子表明这一方法是可行的。 In the process of low altitude penetration, the algorithm for effective flight track control can guarantee to successfully complete the mission of terrain follow and terrain avoid. Due to the fact that the aircraft has to do some movements of great mobility, and there are severe couplings between the vertical and landscape orientation, the general algorithms are inapplicable in the synthesis flight procession. This paper presents six freedom aircraft state equations as two subsystems of the related large system consisted of coupling vertical and landscape orientation subsystem. Some assumptions are made when the coupling of vertical and horizontal is considered as a portion of exterior control input. Using large system variable structure control theory, independent vertical and horizontal orientation path control laws are derived. The method reduces the difficulty of theory study and engineering realization. Simulational results show the above theory is feasible.
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2001年第2期122-125,共4页 Journal of Nanjing University of Aeronautics & Astronautics
关键词 变结构控制 耦合系统 飞行器 飞行控制 航迹跟踪控制算法 地形跟随/地形回避 TF/TA trajectory tracking variable structure control coupling system simulation
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参考文献3

  • 1[1]Pappas G J, Lygeros J, Godbole D N. Stabilization and tracking of feedback linearizable systems under input constraints[C]. In:Proceedings of 34th Conference on Decision and Control, 1995. 596~601
  • 2[2]Poznyak A S, Sanchez E N. Nonlinear system identification and trajectory tracking using dynamic neural networks[C]. In: 35th IEEE Conference on Decision and Control, 1995. 596~601
  • 3[3]Miller R B, Pachter M. Maneuvering flight control with actuator constraints[J]. J of Guidance, Control and Dynamics. 1997,20(4) :729~734

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