首页> 外文期刊>International Journal of Engineering and Manufacturing(IJEM) >Trajectory Tracking Control and Robustness Analysis of a Robotic Manipulator using Advanced Control Techniques
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Trajectory Tracking Control and Robustness Analysis of a Robotic Manipulator using Advanced Control Techniques

机译:机器人的轨迹跟踪控制和鲁棒性分析的先进控制技术

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The main focuses are to design controlling systems of good disturbance, stability rejection, and small error-tracking. Trajectory tracking of robot manipulators are controlled by several methodologies, but when robot manipulator works with uncertain dynamic models, some limitations of this technique appear. Concerning the control perspective, such uncertainty can be divided into two groups: the unstructured inputs (e.g. disturbance effect) and the structure dynamics (e.g. the changes of parameter). Within a small number of applications, some environments, could be unknown or unstructured, make use of robot manipulators, along with some tools of strong mechanics also can make use of new methods of control to design a controller of nonlinear robust with a reasonable performance. So in this paper we test the effect of disturbance in control the first DOF of PUMA 560 using non model based FO-Fuzzy-PID controller and compared its results with two model based controllers (CTC, ANN). Also we study the effect of change of inertias parameters in the 2 cases Model based control and non- Model based control and then discus which controller give the best results. The main objective of this paper is that the non model based FO-Fuzzy-PID is able to emulate the manipulator dynamic behaviour without the need to have a complex nonlinear mathematical model for the robot.
机译:主要重点是设计具有良好干扰,稳定性抑制和小误差跟踪的控制系统。机器人操纵器的轨迹跟踪由几种方法控制,但是当机器人操纵器使用不确定的动态模型工作时,该技术会出现一些局限性。从控制角度来看,这种不确定性可以分为两类:非结构化输入(例如干扰效应)和结构动力学(例如参数变化)。在少数应用中,某些环境可能是未知的或非结构化的,可以使用机器人操纵器,以及一些具有强大机械性能的工具,也可以利用新的控制方法来设计具有合理性能的非线性鲁棒控制器。因此,在本文中,我们使用非基于模型的FO-Fuzzy-PID控制器测试了PUMA 560的第一个自由度对控制扰动的影响,并将其结果与基于两个模型的控制器(CTC,ANN)进行了比较。我们还研究了两种情况下惯性参数变化在基于模型的控制和基于非模型的控制中的影响,然后讨论哪种控制器给出最佳结果。本文的主要目的是,基于非模型的FO-Fuzzy-PID能够仿真机械手的动态行为,而无需为机器人提供复杂的非线性数学模型。

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