导弹与制导技术

基于模型预测算法的无人机延时控制系统设计

  • 张举 ,
  • 祝小平 ,
  • 周洲
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  • 西北工业大学,西安 710072

张举(1979-),男,河南汝南人,博士研究生,研究方向:飞行器制导、综合控制技术。

收稿日期: 2009-09-18

  网络出版日期: 2025-05-28

The Design of Delay Control System in UAV Based on Model Predictive Algorithm

  • ZHANG Ju ,
  • ZHU Xiaoping ,
  • ZHOU Zhou
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  • Northwestern Polytechnical University, Xi'an 710072, China

Received date: 2009-09-18

  Online published: 2025-05-28

摘要

通过卫星进行远距离控制的“人在回路中”无人机系统存在较大的时间延迟。延时可能引起系统的不稳定。为了改善延时系统的性能,需要对系统进行延时补偿。考虑对无人机的操作通过人-机界面来完成的特点,基于模型预测算法估计出系统延时量的未来状态,用估计出的状态变量作为输出,这样就补偿了系统的传输延时。对某飞机俯仰角控制回路进行了设计,仿真结果表明使用该补偿方法减小了延迟对系统的影响。

本文引用格式

张举 , 祝小平 , 周洲 . 基于模型预测算法的无人机延时控制系统设计[J]. 弹箭与制导学报, 2010 , 30(4) : 48 -50 . DOI: 10.15892/j.cnki.djzdxb.2010.04.012

Abstract

There is large time delay in'man-in-the-loop' unmanned aircraft vehicle (UAV) system controlled by satellite communication. Time delay can lead to the system being unstable. For improving the performance of the delayed system, it needs to be compensated. Considering the character that the UAV is operated through man-machine interface, the future aircraft state was predicted based on modeled-aircraft predictive algorithm. The estimated state variable was used as the output of the delayed system to compensate the transmission delay. An aircraft's pitch angle control loop was designed. The simulation results indicate the compensation algorithm used is effective for decreasing the effect of time delay on systems.

参考文献

[1]
Smith O J M. A controller to overcome dead time[J]. ISA Journal, 1959, 6 (2): 28- 33.
[2]
Liwen Guo, Frank M Cardullo. New predictive filters for compensating the transport delay on a flight simulation, AIAA 2004-5441[R]. 2004.
[3]
Andrew J Thurling, Kelly A Greene. An improved predictive algorithm for time delay compensation in UAVS, AIAA 2001-4424[R]. 2001.
[4]
Sobiski D J, Cardullo F M. Predictive compensation of visual system time delays, AIAA-2434[R]. 1987.
[5]
Raman K Mehra, Ravi K Prasanth. Quantication and measurement of autonomy for UAVs using human operator modeling, AIAA 2003-6605[R]. 2003.
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