A trajectory tracking control method for the discharge arm of the self-propelled forage harvester

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2024-11-18 DOI:10.1016/j.compag.2024.109627
Lei Liu , Siyu Hou , Yuefeng Du , Guorun Li , Yucong Wang , Du Chen , Zhongxiang Zhu , Zhenghe Song , Xiaoyu Li
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Abstract

The cooperative operation between the self-propelled forage harvester and the trailer aims to achieve precise and automatic forage unloading. The discharge arm serves as the core structure for conveying forage, and the precision and speed of its motion control are crucial factors influencing the efficiency of forage harvesting. In this context, we proposed a trajectory tracking control method for the discharge arm based on an improved particle swarm optimization (IPSO)-PID controller. Firstly, we utilized the Denavit-Hartenberg (D-H) model of the discharge arm for a positive kinematics solution and the geometric resolution and linear fitting method for the inverse kinematics solution. Secondly, we employed the polynomial interpolation method for trajectory planning on the joint space of the discharge arm, and the PSO algorithm for time-optimal trajectory planning. Then, we designed an IPSO-PID trajectory tracking control algorithm and built an Amesim-Simulink co-simulation model for multiple simulation experiments. Finally, we conducted several performance tests of the discharge arm automatic control system in the workstation and the field, respectively. The experiment results indicate that the performance of the IPSO-PID controller exceeds that of all other controllers, which can meet the discharge arm’s motion control accuracy and speed requirements. Our research results are of great significance for improving the productivity and automation process of the self-propelled forage harvester and provide valuable references for research on automatic and precise control of material loading in other agricultural cooperative harvesting.
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自走式牧草收割机卸料臂的轨迹跟踪控制方法
自走式牧草收割机与拖车之间的协同作业旨在实现牧草的精确自动卸载。卸料臂作为输送牧草的核心结构,其运动控制的精度和速度是影响牧草收割效率的关键因素。为此,我们提出了一种基于改进型粒子群优化(IPSO)-PID 控制器的卸料臂轨迹跟踪控制方法。首先,我们利用卸料臂的 Denavit-Hartenberg (D-H) 模型进行正运动学求解,并利用几何分辨率和线性拟合方法进行反运动学求解。其次,我们采用多项式插值法对放电臂的关节空间进行轨迹规划,并采用 PSO 算法进行时间最优轨迹规划。然后,我们设计了 IPSO-PID 轨迹跟踪控制算法,并建立了 Amesim-Simulink 协同仿真模型,进行了多次仿真实验。最后,我们分别在工作站和现场对放电臂自动控制系统进行了多次性能测试。实验结果表明,IPSO-PID 控制器的性能超过了其他所有控制器,可以满足放电臂的运动控制精度和速度要求。我们的研究成果对提高自走式牧草收割机的生产效率和自动化进程具有重要意义,也为其他农业合作收割中物料装载的自动精确控制研究提供了有价值的参考。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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