MRAC based intelligent PID controller design technique for a class of dynamical systems

Santanu Mallick, Ujjwal Mondal
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Abstract

Model-Free Control (MFC) is used to control a complex system by designing a simple representation of the system, known as ultralocal model. This MFC continuously updates the input-output behavior with the help of ultralocal model. The combination of MFC with standard Proportional Integral Derivative (PID) controller develops Intelligent Proportional Integral Derivative (i-PID) controller. The i-PID controller is basically a class of robust control technique in the field of PID controller. In this methodology, the tuning is quite straightforward for extremely nonlinear and/or time varying plants, without consideration of any modeling procedure. In Model Reference Adaptive Controller (MRAC)-PID controller principle, PID parameters are updated/tuned in accordance with control technique based on MRAC-Massachusetts Institute of Technology (MIT) rule, such that the plant is efficient to follow the reference model. The main objective of this paper is to implement MRAC based Intelligent PID controller for a class of dynamical systems using Model-Free Control technique, where the prior knowledge about the system dynamic is not essential and moreover complex parameter tuning is not necessary.

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基于 MRAC 的一类动力系统智能 PID 控制器设计技术
无模型控制(MFC)是通过设计一个简单的系统表示(称为超局部模型)来控制复杂系统的。这种 MFC 借助超局部模型不断更新输入输出行为。MFC 与标准比例积分微分(PID)控制器的结合开发出了智能比例积分微分(i-PID)控制器。i-PID 控制器基本上是 PID 控制器领域的一类鲁棒控制技术。在这种方法中,对于极度非线性和/或时变植物,调谐非常简单,无需考虑任何建模程序。在模型参考自适应控制器(MRAC)-PID 控制器原理中,PID 参数根据基于 MRAC-Massachusetts Institute of Technology(MIT)规则的控制技术进行更新/调整,从而使工厂有效地遵循参考模型。本文的主要目的是利用无模型控制技术,为一类动态系统实现基于 MRAC 的智能 PID 控制器,在这种情况下,系统动态的先验知识并不重要,而且也不需要复杂的参数调整。
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