聯(lián)合收割機最短路徑設(shè)計—基于禁忌搜索和PID算法的
發(fā)布時間:2018-09-16 22:10
【摘要】:為了提高聯(lián)合收割機的收割效率和自動化作業(yè)能力,使其在復(fù)雜地塊具有智能路徑規(guī)劃功能,提高收割機作業(yè)的自適應(yīng)能力,提出了一種基于禁忌搜索的智能聯(lián)合收割機自動路徑規(guī)劃優(yōu)化方案,并采用PID反饋調(diào)節(jié)控制算法,來降低算法的誤差;建立了聯(lián)合收割機智能搜索的禁忌算法模型,并設(shè)計了積分、微分和比例調(diào)節(jié)的PID控制模型;最后利用實地和軟件測試的方法對算法的可行性和可靠性進行了測試。結(jié)果表明:利用禁忌搜索的PID控制算法可以有效地縮短路徑規(guī)劃時間,提高算法的精度,從而驗證了算法在收割機智能控制上應(yīng)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.
【作者單位】: 綿陽職業(yè)技術(shù)學(xué)院;焦作師范高等?茖W(xué)校計算機與信息工程學(xué)院;焦作師范高等專科學(xué)校計算機應(yīng)用技術(shù)研究所;武漢工商學(xué)院信息工程學(xué)院;
【基金】:四川省教育廳科技項目(13ZB0388) 河南省高等學(xué)校青年骨干教師項目(2012GGJS-288) 武漢工商學(xué)院科學(xué)研究項目(A2016010)
【分類號】:S225.3;TP273
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本文編號: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.
【作者單位】: 綿陽職業(yè)技術(shù)學(xué)院;焦作師范高等?茖W(xué)校計算機與信息工程學(xué)院;焦作師范高等專科學(xué)校計算機應(yīng)用技術(shù)研究所;武漢工商學(xué)院信息工程學(xué)院;
【基金】:四川省教育廳科技項目(13ZB0388) 河南省高等學(xué)校青年骨干教師項目(2012GGJS-288) 武漢工商學(xué)院科學(xué)研究項目(A2016010)
【分類號】:S225.3;TP273
,
本文編號:2244985
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