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A New Gantry-Tau-Based Mechanism Using Spherical Wrist and Model Predictive Control-Based Motion Cueing Algorithm

机译:基于球衣的新机构,采用球形手腕和基于模型预测控制运动提示算法的基于龙门 - 土地机制

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摘要

The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion platform (SBMP) with the capability of generating the large linear and angular displacement. The combination of both parallel and serial manipulator in newly designed Gantry-Tau-3R mechanism improves the ability of the mechanism to regenerate larger motion signals with higher linear acceleration and angular velocity. The high-frequency signals are reproduced using the parallel part of the mechanism, and sustainable low-frequency accelerations are regenerated via the serial part due to the larger rotational motion capability, which will be used through motion cueing algorithm tilt coordination channel. The proportional integral derivative (PID) and fuzzy incremental controller (FIC) are developed for the proposed mechanism to show the high path tracking performance as a motion platform. FIC reduces the motion tracking error of the newly designed Gantry-Tau-3R and increases the motion fidelity for the users of the proposed SBMP. The proposed method is implemented using Matlab/Simulink software. Finally, the results demonstrate the accurate motion signal generation using linear model predictive motion cues with a fuzzy controller, which is not possible using the common parallel and serial manipulators.
机译:3自由度龙门龙头操纵器加入称为龙门TAU-3R的球形手腕机构被设计为基于高G仿真的运动平台(SBMP),其能力产生大线性和角位移。并联和连续操纵器在新设计的龙门式龙门机构中的组合改善了机构以更高的线性加速度和角速度再生更大的运动信号的能力。使用机构的并联部分再现高频信号,并且由于旋转运动能力较大,通过串行部分再生可持续的低频加速度,这将通过运动提示算法倾斜协调信道来通过串行部分来再生。为所提出的机制开发了比例积分衍生物(PID)和模糊增量控制器(FIC),以显示作为运动平台的高路径跟踪性能。 FIC减​​少了新设计的龙门Tau-3R的运动跟踪误差,并增加了所提出的SBMP的用户的运动保真度。所提出的方法是使用Matlab / Simulink软件实现的。最后,结果展示了使用具有模糊控制器的线性模型预测运动提示的准确运动信号,这是不可能使用公共的并行和串行机械手。

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