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A Robust PID Control Method with Neural Network  

Kang, Seong-Ho (Department of Electronic Engineering, Dongguk University)
Lee, Yong-Gu (Department of Electronic ＆ Information Communication, Hayllym College of Information ＆ Industr)
Eom, Ki-Hwan (Department of Electronic Engineering, Dongguk University)
Publication Information
Journal of information and communication convergence engineering / v.2, no.1, 2004 , pp. 46-51 More about this Journal
Abstract
The problem of reducing the effect of an unknown disturbance on a dynamical system is one of the most fundamental issues in control design. We propose a robust PID (Proportional Integral Derivative) control method with neural network for improving the performance due to the rejection of an unknown disturbance. The proposed system consists of a model of the plant, a conventional PID controller and a multi-layer neural network, and is composed of two loop; the first loop enables the system to achieve stability of system, the second loop rejects an unknown disturbance. Simulation and experiment results show that the proposed method improves considerably on the performance of the conventional PID control method and the typical IMC method using neural network.
Keywords
Robust control; multilayer neural network; PID control;
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