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中国农机化学报

中国农机化学报 ›› 2025, Vol. 46 ›› Issue (6): 156-161.DOI: 10.13733/j.jcam.issn.2095-5553.2025.06.023

• 设施农业与植保机械工程 • 上一篇    下一篇

喷施作业植保无人机抗干扰反步鲁棒控制方法

马黎1,崔雅博2   

  1. (1. 商丘职业技术学院软件学院,河南商丘,476100; 2. 开封大学信息工程学院,河南开封,475004)
  • 出版日期:2025-06-15 发布日期:2025-05-22
  • 基金资助:
    河南省科技攻关项目(212102210533)

Anti‑disturbance and back‑stepping robust control method for plant protection UAV in spraying operations

Ma Li1, Cui Yabo2   

  1. (1. School of Software, Shangqiu Polytechnic, Shangqiu, 476100, China; 
    2. School of Information Engineering, Kaifeng University, Kaifeng, 475004, China)
  • Online:2025-06-15 Published:2025-05-22

摘要:

针对喷施作业植保无人机容易受到电机动态特性、机体振动和机械摩擦等干扰因素影响的问题,设计一种反步鲁棒控制律。首先,建立带有各种干扰因素的植保无人机数学模型,并通过设计的扩张状态观测器准确估计出扰动大小;然后,结合反步法分别设计方位角速度、电机电流和电机电压的控制指令,提高对植保无人机的飞行精准度;最后,进行仿真试验。试验表明,验证设计的扩张状态观测器对方位角、方位角加速度和驱动电机电流的最大估计误差分别为0.03°/s、0.03°/s2、0.04 A/s,提出的反步鲁棒控制律能够使俯仰角、滚转角和航向角的最大误差分别仅为0.4°、0.6°和0.5°。提出的鲁棒控制律能够有效克服电机动态特性、机体振动和机械摩擦等干扰因素的影响,确保植保无人机精准和稳定地飞行,使重喷和漏喷的面积占比分别下降至0.23%和0.27%。

关键词: 植保机械, 喷施无人机, 扩张状态观测器, 反步鲁棒控制, 轨迹跟踪

Abstract:

Aiming at the problem that the plant protection UAV in spraying operations is easily affected by the disturbance factors such as motor dynamic characteristics, body vibration and mechanical friction, a back‑stepping robust control law is designed. Firstly, the mathematical model of plant protection UAV with various disturbance factors was established, and the disturbance size was accurately estimated by the designed expanded state observer. Then, combined with the back‑stepping method, the control commands of azimuth speed, motor current and motor voltage were designed respectively, which improved the flight accuracy of plant protection UAV. Finally, the simulation experiments were conducted to verify that the maximum estimation errors of the designed extended state observer for azimuth angle, azimuth angular acceleration and drive motor current were only 0.03°/s, 0.03°/s2 and 0.04 A/s respectively. The proposed back‑stepping robust control law could make the maximum errors of pitch angle, roll angle and heading angle as only 0.4°, 0.6° and 0.5°. The test results showed that the proposed robust control law could effectively overcome the influence of interference factors such as motor dynamic characteristics, body vibration and mechanical friction, and ensured the precise and stable flight of plant protection UAV and reduced the proportion of re‑spray and missed spray areas to 0.23% and 0.27% respectively.

Key words: plant protection machinery, spraying UAV, extended state observer, backstepping robust control, track tracking

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