Fuzzy intelligent control method for improving flight attitude stability of plant protection quadrotor UAV

Authors

  • Zhihui He 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
  • Wanlin Gao 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
  • Xiongkui He 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Centre for Chemicals Application Technology, College of Science, China Agricultural University, Beijing 100083, China
  • Minjuan Wang 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
  • Yunling Liu 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
  • Yue Song 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
  • Zewu An School of Mechanical Engineer & Automation, Beihang University, Beijing 100191, China

Keywords:

quadrotor UAV, attitude control, plant protect, fuzzy adaptive PID, Simulink

Abstract

At present, the attitude control method of plant protection UAV is the classical PID control, but there are some imperfections in the PID control, such as the contradiction between speediness and overshoot, the weak anti-jamming ability and adaptability. The physical parameters of plant protection UAV are time-varying, and the airflow also interferes with it. The control ability of classical PID is limited, and its control parameters are fixed, and its anti-jamming ability and adaptability are not strong. Therefore, a fuzzy adaptive PID controller is proposed in this paper. Fuzzy logic control is used to optimize the control parameters of PID in order to improve the dynamic and static performance and adaptability of attitude control of plant protection UAV. In the process of research, the mathematical model of UAV is established firstly, then the fuzzy adaptive PID is designed, and then the simulation is carried out in Simulink. The simulation results show that the fuzzy adaptive PID controller has better dynamic and static control performance and adaptability than the traditional PID controller. Therefore, the proposed control method has excellent application value in the attitude of plant protection UAV. Keywords: quadrotor UAV, attitude control, plant protect, fuzzy adaptive PID, Simulink DOI: 10.25165/j.ijabe.20191206.5108 Citation: He Z H, Gao W L, He X K, Wang M J, Liu Y L, Song Y, et al. Fuzzy intelligent control method for improving flight attitude stability of plant protection quadrotor UAV. Int J Agric & Biol Eng, 2019; 12(6): 110–115.

Author Biography

Wanlin Gao, 1. College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China; 2. Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing 100083, China

PhD, Professor,College of Information and Electrical Engineering, China Agricultural University

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Published

2019-12-04

How to Cite

He, Z., Gao, W., He, X., Wang, M., Liu, Y., Song, Y., & An, Z. (2019). Fuzzy intelligent control method for improving flight attitude stability of plant protection quadrotor UAV. International Journal of Agricultural and Biological Engineering, 12(6), 110–115. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/5108

Issue

Vol. 12 No. 6 (2019): IJABE

Section

Information Technology, Sensors and Control Systems

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