Behavioral Assessment of Various Control Laws Formulations for Position Tracking of Multi-sectioning Modeled Continuum Robots

O. Moussa, Mai A. Mira, Ahmed H. Fahmy, E. I. Morgan, Omar M. Shehata
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引用次数: 1

Abstract

This paper presents a study on miniature continuum robots which can bend continuously along their length and can be constructed to be more than one section to increase their degrees of freedom. This study is concerned with providing the kinematics and the dynamics of the robot. The kinematic equations is provided by Piece-wise constant curvature (PCC) assumption which is based on curve geometry. The Dynamics of the robot are provided by the analysis of the Lagrangian equation. Next, three control strategies are applied on a two-section continuum robot model using MATLAB Simulink environment to demonstrate the effectiveness of each control loop. The three control strategies are Proportional Derivative (PD) control, Fuzzy Logic Control (FLC), and Sliding Mode Control (SMC). The simulation results show an advantage in performance for the intelligent controller (FLC) and the nonlinear robust control (SMC) over the PD control.
多分割模型连续体机器人位置跟踪控制律的行为评价
本文研究了一种微型连续体机器人,该机器人可以沿其长度连续弯曲,并且可以被构造成多个截面以增加其自由度。本研究涉及提供机器人的运动学和动力学。运动学方程由基于曲线几何的分段常曲率假设给出。通过拉格朗日方程的分析,给出了机器人的动力学特性。其次,在MATLAB Simulink环境下,对两段连续体机器人模型应用了三种控制策略,验证了各控制回路的有效性。这三种控制策略分别是比例微分(PD)控制、模糊逻辑控制(FLC)和滑模控制(SMC)。仿真结果表明,智能控制器(FLC)和非线性鲁棒控制(SMC)在性能上优于PD控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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