1. 广东工业大学 自动化学院,广东,广州,510006
2. 广州优飞信息科技有限公司,广东,广州,510006
曾振华(1994–),男,硕士研究生,主要研究方向为智能优化算法、无人机控制系统,E-mail:2930630089@qq.com
网络首发:2020-01-25,
纸质出版:2020
移动端阅览
曾振华, 郑汇峰, 祝玉杰, 罗志勇. 多旋翼无人机自主精准降落的控制系统研究[J]. 广东工业大学学报, 2020, 37(1): 87-94.
Zeng Zhen-hua, Zheng Hui-feng, Zhu Yu-Jie, et al. A Research on Control System of Multi-rotor UAV Self-precision Landing[J]. 2020, 37(1): 87-94.
曾振华, 郑汇峰, 祝玉杰, 罗志勇. 多旋翼无人机自主精准降落的控制系统研究[J]. 广东工业大学学报, 2020, 37(1): 87-94. DOI: 10.12052/gdutxb.190102.
Zeng Zhen-hua, Zheng Hui-feng, Zhu Yu-Jie, et al. A Research on Control System of Multi-rotor UAV Self-precision Landing[J]. 2020, 37(1): 87-94. DOI: 10.12052/gdutxb.190102.
针对多旋翼无人机降落时采用位置控制方式存在位置振荡和速度超调现象的问题
本文采用速度控制的方式进行降落
构建了一个完整的精准降落闭环速度控制系统。首先建立无人机精准降落速度控制系统的总体框架; 然后进行无人机降落时多个坐标系之间的转换; 再设计外环速度的"比例–积分–微分" (Proportion-Integral-Derivative
PID)控制系统和模糊自适应速度PID控制系统; 最后进行2种控制系统的性能测试和对比实验。结果表明
无人机在这2种控制系统下均能成功降落到地面靶标上
且模糊自适应速度PID控制系统降落精度更高
达到了0.13 m以内。因此多旋翼无人机采用模糊自适应速度PID控制系统可实现自主精准降落。
In view of the problem of positional oscillation and speed overshoot in the position control mode of multi-rotor UAV landing
the speed control method is adopted to land and a complete closed-loop speed control system constructed for precise landing. Firstly
the overall framework of UAV precise landing speed control system is established; secondly
the coordinate system of UAV landing and the transformation between coordinate systems are constructed; then
the outer-loop speed PID(Proportion-Integral-Derivative) control system and the fuzzy adaptive speed PID control system are designed; and finally
the performance tests and comparative experiments of the two control systems are carried out. The results show that the UAV can successfully land on the ground target under these two control systems
and the fuzzy adaptive speed PID control system has a higher landing accuracy
which is less than 0.13 meters. It can be seen that the multi-rotor UAV has realized the autonomous precise landing by adopting the fuzzy adaptive speed PID control system.
毕庆生. 基于Onboard SDK的无人机自主飞行控制技术研究[D]. 西安: 西安石油大学, 2017.
DU J T, LI Y. Parameter self-tuning fuzzy PID control method and its application in enamelling machine [J]. Journal of Guangdong University of Technology, 2014, 31(2): 58-63.
ZHANG X, LIU C, LIU F. Attitude control of 3-DOF helicopter based on iterative learning Control[C]//Proceedings of the 10th World Congress on intelligent Control and Automation. Beijing: IEEE, 2012: 128-132.
WANG C L, CHEN Z Q, SUN Q L, et al. Design of PID and ADRC based quadrotor helicopter control system[C]//2016 Chinese Control and Decision Conference (CCDC). Yinchuan: IEEE, 2016: 5860-5865.
JIN C, ZHU M, SUN L, et al. Relative motion odeling and control for a quadrotor landing on an unmanned vessel[C]//AIAA Guidance, Navigation AIAA, and Control Conference. Grapevine, Texas: 2017: 1522.
MOU Y, ZHANG Q, LIU S, et al. The flight control of micro quad-rotor UAV based on PID[C]// 2016 31st Youth Academic Annual Conference of Chinese Association of Automation (YAC). Hubei: IEEE, 2016: 353-356.
YANG S, WANG. Z S. Quad-rotor UAV control method based on PID control law[C]//2017 International Conference on Computer Network, Electronic and Automation (ICCNEA). Xi’an: IEEE, 2017: 418-421.
FENG P Y. Modeling and PID controller design of four-rotor UAV [J]. Industrial Design, 2018(6): 135-137.
ZHANG G, YI G X, GAO X. Autonomous landing system of rotor UAV based on visual navigation [J]. Sensors and Microsystems, 2018, 37(9): 77-80.
ZHANG M, ZHAO Y, BU S H, et al . Autonomous precision landing system for UAV based on hierarchical identification [J ] . Journal of Aeronautics, 2018, 39(10): 213-221.
JIA P Y, PENG X D, ZHOU W G. Research on autonomous mobile landing method of four-rotor UAV [J]. Computer Science, 2017(S2): 530-533.
FAN J T, WANG R H, ZHOU W, et al . Recognition of needle meter reading based on digital image processing technology [J ] . Journal of Guangdong University of Technology, 2007, 24(4): 76-78.
曹爽. 基于OTSU算法的图像阈值分割技术[D]. 太原: 太原理工大学, 2018.
ZHU B, CHEN Q W. Design of trajectory tracking controller for vertical/short range takeoff and landing aircraft [J]. Journal of Automation, 2019, 45(6): 1166-1176.
LI Y F. Research on PID control in quad-rotor aircraft [J]. Technology and Market, 2016, 23(7): 90-91.
HUANG L P, ZOU D S, CHEN L, et al . Design and simulation of a kind of fuzzy PID controller [J ] . Mechanical Engineer, 2018(11): 7-9.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621