基于数据驱动的非完整移动机器人运动控制的研究
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  • 英文篇名:Research on Motion Control for Nonholonomic Mobile Robots Based on the Data Driven Control
  • 作者:杨莉 ; 张亚楠 ; 王婷婷
  • 英文作者:YANG Li;ZHANG Ya-nan;WANG Ting-ting;School of Electrical Engineering & Information, Northeast Petroleum University;
  • 关键词:数据驱动 ; 非完整机器人 ; 系统辨识 ; 预测控制
  • 英文关键词:data driven;;nonholonomic mobile robots;;system identification;;predictive control
  • 中文刊名:SSJS
  • 英文刊名:Mathematics in Practice and Theory
  • 机构:东北石油大学电气信息工程学院;
  • 出版日期:2019-03-08
  • 出版单位:数学的实践与认识
  • 年:2019
  • 期:v.49
  • 基金:黑龙江省教育厅科学技术研究项目(12541090);; 黑龙江省普通本科高等学校青年创新人才培养计划项目(UNPYSCT-2016084)
  • 语种:中文;
  • 页:SSJS201905018
  • 页数:6
  • CN:05
  • ISSN:11-2018/O1
  • 分类号:173-178
摘要
智能车辆驱动控制系统和转向控制系统是一个典型的多输入多输出的强耦合系统,当系统老化、轮胎磨损或是电池电压不稳定的情况模型难以精确建立.基于数据驱动原理,直接利用实测的速度以及舵机角度等信息,辨识控制器的参数,从而避开模型辨识的过程,简化控制器设计,提高控制精度.仿真结果表明,方法具有较好的控制效果和较强的扰动抑制能力.
        Intelligent vehicle drive control system and steering control system is a typical multi-input.and multi-output strong coupling system. System aging, tire wear, or batteryvoltage instability will make a model difficult to be precisely established. The paper, based on the data driving principle, directly uses actually measured speed and the angle of steering gear to identify the controller parameters, thus avoiding the process of model identification,simplifying the controller design, and improving the control precision. The simulation results show that this method has better control effects and strong disturbance suppression ability.
引文
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