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首页> 外文期刊>Meccanica: Journal of the Italian Association of Theoretical and Applied Mechanics >Adaptive back stepping fast terminal sliding mode control of robot manipulators actuated by pneumatic artificial muscles: continuum modelling, dynamic formulation and controller design
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Adaptive back stepping fast terminal sliding mode control of robot manipulators actuated by pneumatic artificial muscles: continuum modelling, dynamic formulation and controller design

机译:通过气动人工肌肉驱动的机器人机械手自适应返回步进快速端子滑动模式控制:连续塑造,动态配方和控制器设计

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摘要

Pneumatic Artificial Muscles (PAMs) also called braided pneumatic actuators were invented by Mckibben to help the Polio patients. When the internal bladder is pressurized the actuator gets shorter which can produce a tensile force. PAMs are widely used in bio robotic as well as industrial, medical and rehabilitation robotic applications due to their salient advantages such as high power to weight ratio, flexibility and low cost. However, PAMs exhibit highly non-linear characteristics due to nonlinear mechanical properties of the inner tube and geometrically complex behavior of the outer shell. To use PAMs in engineering applications it is necessary to have an accurate relationship between produced axial force, contraction ratio and applied internal pressure. In this work, a continuum mechanics based model is extended to calculate actuation force of PAMs which is essential in calculation of the required internal pressure as the input signal for control of PAM-based systems. Moreover, dynamic model of a 2-link robot manipulator actuated by PAMs is presented and an adaptive back stepping fast terminal sliding mode controller is applied. Robustness of the utilized method against external disturbances and parameter uncertainties is also investigated. Comparing the model results with experimental data, it is observed the model well predicts mechanical behavior of PAMs. Furthermore, positions and tracking errors are compared with results of an adaptive sliding mode controller. Simulation results obviously demonstrate fast and accurate tracking performance of the applied controller. The developed model can be widely used in design of rehabilitation and also industrial robotic systems.
机译:气动人工肌肉(PAM)也称为编织气动执行器是由McKibben发明的,帮助脊髓灰质炎患者。当内囊加压时,致动器会更短,其可以产生拉力。由于其突出的优点,典型的优点如高功率为重量比,灵活性和低成本,因此PAM广泛用于生物机器人以及工业,医疗和康复机器人应用中。然而,由于内管的非线性机械性能和外壳的几何复杂行为,PAM具有高度非线性特性。为了在工程应用中使用PAM,有必要在产生的轴向力,收缩率和施加的内压之间具有准确的关系。在这项工作中,基于连续的力学模型扩展到计算PAM的致动力,这在计算所需内部压力作为控制基于PAM的系统的输入信号的计算中必不可少的。此外,呈现由PAM致动的2连杆机器人机械手的动态模型,并施加自适应后踩踏快速终端滑动模式控制器。还研究了用于外部干扰和参数不确定性的利用方法的鲁棒性。将模型结果与实验数据进行比较,观察模型良好预测PAM的机械行为。此外,将位置和跟踪误差与自适应滑模控制器的结果进行比较。仿真结果显然展示了应用控制器的快速准确跟踪性能。开发的模型可广泛用于康复设计和工业机器人系统。

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