• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Neural Adaptive PID and Neural Indirect Adaptive Control Switch Controller for Nonlinear MIMO Systems
【24h】

Neural Adaptive PID and Neural Indirect Adaptive Control Switch Controller for Nonlinear MIMO Systems

机译：用于非线性MIMO系统的神经自适应PID和神经间接自适应控制交换机

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes an adaptive switch controller (ASC) design for the nonlinear multi-input multi-output system (MIMO). In fact, the proposed method is an online switch between the neural network adaptive PID (APID) controller and the neural network indirect adaptive controller (IAC). According to the design of the neural network IAC scheme, the adaptation law has been developed by the gradient descent (GD) method. However, the adaptive PID controller is built based on the neural network combining the PID control and explicit neural structure. The strategy of training consists of online tuning of the neural controller weights using the backpropagation algorithm to select the suitable combination of PID gains such that the error between the reference signal and the actual system output converges to zero. The stability and tracking performance of the neural network ASC, the neural network APID, and the neural network IAC are analyzed and evaluated by the Lyapunov function. Then, the controller results are compared between APID, IAC, and ASC, in this paper, applying to a nonlinear system. From simulations, the proposed adaptive switch controller has better effects both on response time and on tracking performance with smallest MSE.
机译：本文提出了一种用于非线性多输入多输出系统（MIMO）的自适应开关控制器（ASC）设计。实际上，所提出的方法是神经网络自适应PID（APID）控制器和神经网络间接自适应控制器（IAC）之间的在线交换机。根据神经网络IAC方案的设计，通过梯度下降（GD）方法开发了适应法。然而，自适应PID控制器基于组合PID控制和显式神经结构的神经网络构建。培训策略包括使用BackPropagation算法选择神经控制器权重的在线调谐，以选择PID增益的合适组合，使得参考信号和实际系统输出之间的误差会聚到零。通过Lyapunov函数分析和评估神经网络ASC，神经网络ASC，神经网络ASC和神经网络IAC的稳定性和跟踪性能。然后，在本文施加到非线性系统的APID，IAC和ASC之间比较控制器结果。从模拟中，所提出的自适应交换机控制器在响应时间和最小的MSE上跟踪性能都具有更好的影响。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第17期|7340392.1-7340392.11|共11页
  • 作者

    Slama Sabrine; Errachdi Ayachi; Benrejeb Mohamed;

  • 作者单位

    Tunis El Manar Univ Natl Engn Sch Tunis Dept Elect Engn Belvedere BP 37 Tunis 1002 Tunisia;

    Tunis El Manar Univ Natl Engn Sch Tunis Dept Elect Engn Belvedere BP 37 Tunis 1002 Tunisia;

    Tunis El Manar Univ Natl Engn Sch Tunis Dept Elect Engn Belvedere BP 37 Tunis 1002 Tunisia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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