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基于高階多項式的爬游機器人足端軌跡規劃
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西北工業(yè)大學(xué) 航海學(xué)院

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TP391.9

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國家自然科學(xué)基金項目(面上項目,重點(diǎn)項目,重大項目)


Research on robot foot trajectory planning based on high-order polynomials
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    摘要:

    針對深海爬游機器人足端軌跡規劃問(wèn)題,采用高階多項式擬合的方法對其進(jìn)行研究。首先,介紹了爬游機器人整體結構并對其進(jìn)行運動(dòng)學(xué)建模,結合爬游機器人運動(dòng)學(xué)模型提出了一種直線(xiàn)與曲線(xiàn)相結合的機器人足端軌跡。其次,利用四階多項式和六階多項式分別對機器人足端軌跡進(jìn)行擬合,比較兩種擬合結果可知,六階多項式擬合方法對機器人足端速度、加速度的規劃效果更佳。利用六階多項式軌跡擬合方法對多段軌跡連接點(diǎn)處的速度問(wèn)題進(jìn)行了分析,解決了機器人在運動(dòng)過(guò)程中腿部抖動(dòng)問(wèn)題,使機械腿具有良好的控制柔順性。最后,根據D-H法則建立機器人單腿仿真模型,通過(guò)仿真驗證了算法的可行性,進(jìn)一步在水池中利用機器人實(shí)物樣機驗證了算法的有效性。

    Abstract:

    For the foot trajectory planning problem of underwater crawling-swimming robots, this paper proposes a multi-segment foot trajectory and investigates the high-order polynomial fitting methods. Firstly, the overall structure of the crawling-swimming robot is introduced and the kinematic model is consequently presented. Considering the crawling motion characteristics and the kinematic model, a multi-segment foot trajectory is proposed by integrating two straight lines and a curve. Next, both the fourth-order polynomial method and the sixth-order polynomial method are used to fit the foot trajectory. Comparing the two fitting results, it can be seen that the sixth-order polynomial fitting method has a better planning effect on the robot foot-end velocity and acceleration. the sixth-order polynomial trajectory fitting method is used to calculate the joint points of the multi-segment trajectory. The speed problem is analyzed, and the problem of the leg shaking during the movement of the robot is solved, so that the mechanical leg has good control flexibility. Finally, the single-leg simulation model of the robot is established based on the DH law, and the feasibility of the algorithm is verified by simulation. The effectiveness of the foot trajectory proposed in this paper has been verified by an actual prototype of the underwater crawling-swimming robot.

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戴禎,劉衛東,徐景明,李樂(lè ).基于高階多項式的爬游機器人足端軌跡規劃計算機測量與控制[J].,2021,29(11):159-164.

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歷史
  • 收稿日期:2021-03-29
  • 最后修改日期:2021-04-27
  • 錄用日期:2021-04-28
  • 在線(xiàn)發(fā)布日期: 2021-11-22
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