• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Advances in Construction Machinery and Vehicle Engineering >Robotic Excavator Identification Model Based on Recursive Least Squares Algorithm with Forgetting Factor
【24h】

Robotic Excavator Identification Model Based on Recursive Least Squares Algorithm with Forgetting Factor

机译：基于递归最小二乘算法的机器人挖掘机识别模型

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In order to establish the electro-hydraulic proportional system model of the robotic excavator quickly and accurately, an identification algorithm based on recursive least squares algorithm with forgetting factor is proposed. The basic the mathematical model of the electro-hydraulic proportional system are analyzed. Based on the theoretical models, the transfer function of the control system is obtained by recursive least square identification method. The improved recursive least squares algorithm with forgetting factor method overcomes the contradiction between the steady-state accuracy and tracking ability of the fixed forgetting factor algorithm, and makes the identification process have both higher dynamic response and higher identification accuracy. The experimental results show that the identification results are credible, which lays a foundation for system design, control characteristic analysis and intelligent control algorithm research.
机译：为了快速准确地建立机器人挖掘机的电动液压比例系统模型，提出了一种基于遗址最小二乘算法的遗址遗传算法。分析了电动液压比例系统的基本数学模型。基于理论模型，通过递归最小二乘识别方法获得控制系统的传递函数。具有遗忘因子方法的改进的递归最小二乘算法克服了固定遗忘系数算法的稳态精度和跟踪能力之间的矛盾，使识别过程具有更高的动态响应和更高的识别精度。实验结果表明，鉴定结果是可信的，为系统设计，控制特征分析和智能控制算法研究奠定了基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号