Design and implementation of self-balancing coaxial two wheel robot based on HSIC

Tianlian Hu, Hua Zhang, Xin Dai, X. Xia, Ran Liu, Bo Qiu
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引用次数: 3

Abstract

This thesis has studied the control problem concerning position and orientation control of self-balancing coaxial two wheel robot based on the human simulated intelligent control (HSIC) theory. Adopting Lagrange equation, the dynamic model of self-balancing coaxial two-wheel Robot is built up, and the Sensory-motor Intelligent Schemas (SMIS) of HSIC controller for the robot is designed by analyzing its movement and simulating the human controller. In robot's motion process, by perceiving position and orientation of the robot and using multi-mode control strategy based on characteristic identification, the HSIC controller enables the robot to control posture. Utilizing Matlab/Simulink, a simulation platform is established and a motion controller is designed and realized based on RT-Linux real-time operating system, employing high speed ARM9 processor S3C2440 as kernel of the motion controller. The effectiveness of the new design is testified by the experiment.
基于HSIC的自平衡同轴两轮机器人的设计与实现
本文基于仿人智能控制(HSIC)理论,研究了自平衡同轴双轮机器人的位置和姿态控制问题。采用拉格朗日方程,建立了自平衡同轴双轮机器人的动力学模型,通过对机器人的运动分析和对人类控制器的仿真,设计了机器人HSIC控制器的感觉-运动智能图式(SMIS)。在机器人运动过程中,HSIC控制器通过感知机器人的位置和姿态,采用基于特征识别的多模式控制策略,实现机器人的姿态控制。利用Matlab/Simulink搭建了仿真平台,设计并实现了基于RT-Linux实时操作系统的运动控制器,采用高速ARM9处理器S3C2440作为运动控制器的内核。实验证明了新设计的有效性。
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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