航空学报 > 2026, Vol. 47 Issue (S1): 732897-732897   doi: 10.7527/S1000-6893.2025.32897

基于模糊PID的多翼伞编队航迹跟踪控制

陈奇1(), 张畅1, 张红锦1, 胡季雨1, 赵利可2   

  1. 1.淮安大学 电子信息工程学院,淮安 223003
    2.江苏科维达智能化设备有限公司,淮安 211622
  • 收稿日期:2025-10-11 修回日期:2025-11-20 接受日期:2025-12-08 出版日期:2025-12-30 发布日期:2025-12-23
  • 通讯作者: 陈奇 E-mail:chenqi2070@163.com
  • 基金资助:
    江苏省自动驾驶技术工程中心开放基金(ZK25-06-03)

Trajectory tracking control of multiple parafoil formation based on fuzzy PID

Qi CHEN1(), Chang ZHANG1, Hongjin ZHANG1, Jiyu HU1, Like ZHAO2   

  1. 1.College of Electronic Information Engineering,Huai’an University,Huai’an 223003,China
    2.Jiangsu Keweida Intelligent Equipment Co. ,Ltd. ,Huai’an 211622,China
  • Received:2025-10-11 Revised:2025-11-20 Accepted:2025-12-08 Online:2025-12-30 Published:2025-12-23
  • Contact: Qi CHEN E-mail:chenqi2070@163.com
  • Supported by:
    Open Fund of Jiangsu Engineering Center of Autonomous Driving Technology(ZK25-06-03)

摘要:

针对多翼伞编队航迹跟踪控制中控制精度不高、抗干扰能力和协同稳定性差的问题,提出了一种基于模糊PID的多翼伞编队航迹跟踪控制方法。首先,建立多翼伞系统的质点模型,引入Dryden湍流风场模型。然后,构建了翼伞编队的三维航迹跟踪控制策略,编队系统以参考指令与测量输出构成误差值作为输入,采用三角形隶属度函数进行模糊化处理,结合预设的模糊规则库进行推理运算,通过解模糊化获得精确的控制增益参数,将制导控制系统解耦为水平面控制和高度控制这2个子系统。其中水平面控制以横向偏差和航向角误差作为输入,输出航向角控制量;高度控制以纵向偏差和航迹角误差作为输入,输出航迹角控制量。最后,将设计的控制算法在RflySim仿真平台中进行了仿真验证。仿真实验表明,与传统PID控制方法相比,模糊PID控制器在湍流风扰动下仍能保持航迹平滑、偏差较小,在编队稳定性方面提升了21.3%,因此,模糊PID自适应控制算法能够有效抑制外界复杂环境因素对翼伞编队的影响,具有较高的鲁棒性和抗干扰能力。

关键词: 多翼伞系统, 质点模型, 翼伞编队, 三维航迹跟踪控制, 模糊PID控制

Abstract:

To address the issues of low control accuracy, weak disturbance rejection capability, and poor cooperative stability in trajectory tracking control of multiple parafoil formation, a fuzzy PID-based trajectory tracking control method for multiple parafoil formation is proposed. Firstly, a particle model of the multiple parafoil system is established, and the Dryden turbulence wind field model is introduced. Then, a three-dimensional trajectory tracking control strategy for parafoil formation is constructed. The tracking errors obtained from the reference command and measured output are fuzzified using triangular membership functions, and fuzzy inference is performed based on a predefined rule base. Through defuzzification, precise control gain parameters are obtained. The guidance control system is decoupled into two subsystems: horizontal-plane control and altitude control. The horizontal-plane control takes lateral deviation and heading angle error as inputs and outputs the heading angle command, while the altitude control takes longitudinal deviation and flight path angle error as inputs and outputs the flight path angle command. Finally, the proposed method is validated on the RflySim simulation platform. Simulation results demonstrate that, compared with the traditional PID control method, the fuzzy PID controller can still maintain a smooth trajectory and small deviations under turbulent wind disturbances, and it improves formation stability by 21.3%. Therefore, the fuzzy PID adaptive control algorithm can effectively suppress the influence of complex external environmental factors on parafoil formation, exhibiting high robustness and strong anti-disturbance capability.

Key words: multiple parafoil system, particle model, parafoil formation, three-dimensional trajectory tracking control, fuzzy PID control

中图分类号: