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基于345-修正梯形運動規(guī)律的4-RR-(SS)2并聯(lián)機器人運動軌跡規(guī)劃
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國家自然科學基金項目(51605225)


Trajectory Planning of 4-RR-(SS)2 Parallel Robot Based on 345-Corrected Trapezoidal Motion Law
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    摘要:

    研究了一種新型四自由度高速并聯(lián)機器人運動軌跡規(guī)劃方法。該機器人采用單動平臺結構以減輕末端平臺質量,,提升機器人加減速性能,。建立機器人機構運動學逆解模型,,通過融合345多項式和梯形運動規(guī)律的優(yōu)點,構造一種可兼顧運動時長和運動平穩(wěn)性的345-修正梯形運動規(guī)律,。在此基礎上,,通過插補疊加軌跡過渡傳統(tǒng)門形軌跡的直角部分,并統(tǒng)籌考慮總運動時長最短以及角加速度峰值最小為目標完成插補疊加時機的優(yōu)選,,最后在樣機上開展運動頻次試驗,。試驗結果顯示,采用優(yōu)化后的運動規(guī)律和軌跡樣機運動頻次可提升至218次/min,,工作效率較傳統(tǒng)Adept門形軌跡提高55.7%,。

    Abstract:

    A novel trajectory planning method for 4-DOF high-speed parallel robot was studied. The robot had a single action platform structure to reduce the weight of the end platform, so it had good acceleration and deceleration performance. The inverse kinematics model of the mechanism was established. By combining the advantages of the 345 polynomial and the trapezoidal motion law, a 345-corrected trapezoidal motion law was constructed that can take into account both the movement duration and the motion stability. On this basis, the right-angle part of the traditional gate-shaped trajectory was transitioned through the interpolation superposition trajectory. Meanwhile, the shortest total motion duration and the minimum angular acceleration peak value were considered as the goal to optimize the timing of the interpolation and superposition. Finally, the motion frequency experiment was carried out on the prototype. Results showed that the motion frequency of the three-stage fusion path prototype can be increased to 218 times/min and its work efficiency was 55.7% higher than that obtained by using the traditional Adept gate-shaped path. This research was of great significance as it could enhance the efficiency of parallel robots in capturing lightweight and scattered materials in production lines across various industries such as consumer electronics, chemical engineering, food processing and pharmaceuticals. The effectiveness of the parallel robots in grasping delicate materials that were scattered was significantly boosted, resulting in improved production output.

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來海濱,汪滿新,劉松濤,黃俊朋,張宇軒.基于345-修正梯形運動規(guī)律的4-RR-(SS)2并聯(lián)機器人運動軌跡規(guī)劃[J].農業(yè)機械學報,2024,55(4):411-420. LAI Haibin, WANG Manxin, LIU Songtao, HUANG Junpeng, ZHANG Yuxuan. Trajectory Planning of 4-RR-(SS)2 Parallel Robot Based on 345-Corrected Trapezoidal Motion Law[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(4):411-420.

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  • 收稿日期:2023-08-06
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  • 在線發(fā)布日期: 2024-04-10
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