联合收割机最短路径设计—基于禁忌搜索和PID算法的
发布时间：2018-09-16 22:10
【摘要】：为了提高联合收割机的收割效率和自动化作业能力,使其在复杂地块具有智能路径规划功能,提高收割机作业的自适应能力,提出了一种基于禁忌搜索的智能联合收割机自动路径规划优化方案,并采用PID反馈调节控制算法,来降低算法的误差;建立了联合收割机智能搜索的禁忌算法模型,并设计了积分、微分和比例调节的PID控制模型;最后利用实地和软件测试的方法对算法的可行性和可靠性进行了测试。结果表明:利用禁忌搜索的PID控制算法可以有效地缩短路径规划时间,提高算法的精度,从而验证了算法在收割机智能控制上应用的可行性。
[Abstract]:In order to improve the harvesting efficiency and automatic operation ability of combine harvester and make it have the function of intelligent path planning in complex plots, it can improve the adaptive ability of harvester operation. An automatic path planning optimization scheme of intelligent combine harvester based on Tabu search is proposed, and the PID feedback control algorithm is adopted to reduce the error of the algorithm, and the Tabu algorithm model of intelligent search of combine harvester is established. The PID control model of integral, differential and proportional adjustment is designed, and the feasibility and reliability of the algorithm are tested by using the method of field and software testing. The results show that the PID control algorithm based on Tabu search can effectively shorten the path planning time and improve the accuracy of the algorithm, thus validating the feasibility of the algorithm in the intelligent control of harvester.
【作者单位】： 绵阳职业技术学院;焦作师范高等专科学校计算机与信息工程学院;焦作师范高等专科学校计算机应用技术研究所;武汉工商学院信息工程学院;
【基金】：四川省教育厅科技项目(13ZB0388) 河南省高等学校青年骨干教师项目(2012GGJS-288) 武汉工商学院科学研究项目(A2016010)
【分类号】：S225.3;TP273
，
本文编号：2244985
[Abstract]:In order to improve the harvesting efficiency and automatic operation ability of combine harvester and make it have the function of intelligent path planning in complex plots, it can improve the adaptive ability of harvester operation. An automatic path planning optimization scheme of intelligent combine harvester based on Tabu search is proposed, and the PID feedback control algorithm is adopted to reduce the error of the algorithm, and the Tabu algorithm model of intelligent search of combine harvester is established. The PID control model of integral, differential and proportional adjustment is designed, and the feasibility and reliability of the algorithm are tested by using the method of field and software testing. The results show that the PID control algorithm based on Tabu search can effectively shorten the path planning time and improve the accuracy of the algorithm, thus validating the feasibility of the algorithm in the intelligent control of harvester.
【作者单位】： 绵阳职业技术学院;焦作师范高等专科学校计算机与信息工程学院;焦作师范高等专科学校计算机应用技术研究所;武汉工商学院信息工程学院;
【基金】：四川省教育厅科技项目(13ZB0388) 河南省高等学校青年骨干教师项目(2012GGJS-288) 武汉工商学院科学研究项目(A2016010)
【分类号】：S225.3;TP273
，
本文编号：2244985
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