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崎嶇山地環(huán)境履帶機器人降維變系數(shù)控制方法研究
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安徽省自然科學研究重大項目(KJ2018ZD016)、安徽省高校自然科學研究項目(KJ2019A0173)和安徽省工業(yè)節(jié)電與電能質(zhì)量控制協(xié)同創(chuàng)新中心開放課題項目(KFKT201605)


Control Method of Dimensionality Reduction Coefficient of Rugged Mountain Environment Catching Robot
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    摘要:

    針對崎嶇山地環(huán)境下自走式履帶機器人自走姿態(tài)波動大、跟蹤精度低等問題,研究了三維崎嶇路面履帶機器人控制方法。通過分析機器人在二維平整路面與三維崎嶇路面的運動學模型,建立了降維運動學幾何模型;設計了一種基于降維變系數(shù)的滑??刂品椒?,實現(xiàn)三維崎嶇路面履帶機器人的運動控制,并進行了平整路面與崎嶇路面的路徑跟蹤仿真與試驗。仿真結(jié)果表明,平整路面仿真中,行駛方向誤差逐漸減小并趨近于0,側(cè)向位置誤差在±0.2m內(nèi)波動,并可在1s內(nèi)完成姿態(tài)調(diào)整;崎嶇路面仿真中,三軸位置誤差均控制在±01m范圍內(nèi),同樣可在1s內(nèi)完成姿態(tài)調(diào)整。路徑跟蹤田間試驗結(jié)果表明,平整路面和崎嶇路面機器人跟蹤穩(wěn)定后的橫向誤差分別為-2.9~8.8cm、-14.3~21.5cm,姿態(tài)誤差分別控制在±2°、±5°內(nèi),能夠滿足實際跟蹤需求。

    Abstract:

    Aiming at the problem of large fluctuation of the attitude and low tracking accuracy of the selfpropelled crawler robot in the rugged mountainous environment, a threedimensional rugged tracked robot control method was studied. The geometric model of dimensionality reduction kinematics was established by analyzing the kinematics model of the twodimensional flat road and threedimensional rugged road surface of the robot. Then, a sliding mode control method based on the dimensionality reduction coefficient was designed to realize the threedimensional rugged road track. The motion control of the robot and the path tracking simulation and experiment of the smooth road surface and the rugged road surface were carried out. The simulation results showed that the driving direction error was gradually decreased and approached 0 in the smooth road simulation, the lateral position deviation fluctuated within ±0.2m, and the attitude adjustment can be completed within 1s; the threeaxis position error in the rough road simulation was controlled in the range of ±10cm, the attitude adjustment can also be completed within 1s. Through the path tracking test of smooth road surface and rugged road surface, the lateral deviation after robot tracking stabilization was -2.9~8.8cm and -14.3~21.5cm, respectively, and the attitude error was controlled within ±2° and ±5°, respectively, which satisfied the actual tracking demand. 

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劉路,楊冰,韋東,宋宇,陳黎卿,孫燕.崎嶇山地環(huán)境履帶機器人降維變系數(shù)控制方法研究[J].農(nóng)業(yè)機械學報,2020,51(2):29-36. LIU Lu, YANG Bing, WEI Dong, SONG Yu, CHEN Liqing, SUN Yan. Control Method of Dimensionality Reduction Coefficient of Rugged Mountain Environment Catching Robot[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(2):29-36.

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  • 收稿日期:2019-09-19
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  • 在線發(fā)布日期: 2020-02-10
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