首页|Research on profiling tracking control optimization of orchard sprayer based on the phenotypic characteristics of tree crown

Research on profiling tracking control optimization of orchard sprayer based on the phenotypic characteristics of tree crown

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? 2021 Elsevier B.V.The performance of the profiling tracking control system was one of the important factors affecting the spray deposition and drift characteristics of the profiling variable spray. This paper proposed a dynamic threshold function to improve the CMAC-PID control algorithm to improve the real-time response speed and robustness of profiling tracking control system. The optimal parameters of dynamic threshold function was determined through a response surface experiment and optimal calculation. The continuous profiling tracking experiment results for outdoor tree canopy within 0–2.5 s showed that, compared with the CMAC-PID control algorithm, when the improved CMAC-PID control algorithm adopted by the profiling control system, the rise time was respectively shortened by 71.5%, 66.1% and 67.3%, the adjustment time was respectively shortened by 67.6%, 57.6% and 50.0%, and the overshoot was respectively 0.658%, 0.552% and 3.46% for the profiling angle position step response of the profiling mechanism module A_up, B and A_down. The continuous profiling tracking experiment results for outdoor tree canopy within 2.5–11.5 s showed that, compared with the CMAC-PID control algorithm, when the improved CMAC-PID control algorithm was adopted by the profiling control system, the profiling tracking response curves and the profiling target angle curves were closer to coincidence, and the average error of profiling tracking has been reduced by 35.9%, 57.4% and 38.1% respectively for the profiling mechanism module A_up, B and A_down. It showed that the profiling control system using the improved CMAC-PID algorithm had better response speed and profiling tracking performance.

CMAC neural networkDynamic thresholdProfiling controlProfiling mechanismProfiling spray

Nan Y.、Zhang H.、Zheng J.、Yang K.、Yang W.、Zhang M.

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School of Mechanical Engineering UGS College Yancheng Institute of Technology

College of Mechanical and Electronic Engineering Nanjing Forestry University

2022

Computers and Electronics in Agriculture

Computers and Electronics in Agriculture

EISCI
ISSN:0168-1699
年,卷(期):2022.192
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