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学习增强型PID控制系统的收敛性分析
  • 期刊名称：控制理论与应用, vol. 27, no. 6, pp. 761-768, 2010.
  • 时间：0
  • 分类：TP273[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]北京交通大学电子信息工程学院先进控制系统研究所,北京100044
  • 相关基金：国家自然科学基金重点资助项目（60834001）;国家自然科学基金面上资助项目（60774022）
  • 相关项目：高阶内模学习控制理论及在快速路交通控制中的应用
关键词： 迭代学习控制, PID控制, 非线性离散系统, 收敛性, iterative learning control, PID control, discrete-time nonlinear system, convergence
中文摘要：

针对具有可重复性的一般离散时间非线性系统,在已存在的PID控制系统的基础上,利用重复性的特点,给出了一种学习增强型PID控制方法,严格证明了收敛性,并通过快速路交通系统的仿真验证了该方法的有效性和优越性。该种方法的主要特点是,不需要对已有的PID控制装置和系统做任何改动,只需在PID控制器的外环加上迭代学习控制器即可,是一种模块化的设计。该方法实现了PID与迭代学习控制的优势互补。

英文摘要：

Using the repeatability of controlled systems,a learning-enhanced PID control method is presented for a general discrete-time nonlinear system and a rigorous convergence is proved.The effectiveness and advantage of the proposed learning-enhanced PID method is demonstrated through simulations of freeway traffic system.Since this method is of modularize design,in its implementation we need only add a complementary iterative-learning-controller（ILC） to the existing PID feedback control loop,without the need of any system reconfiguration or system redesign.

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高阶内模学习控制理论及在快速路交通控制中的应用
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