Networked neurofuzzy control. An application to a drilling process

被引：0

作者：

Gajate, Agustín ^{[1
]}

Haber, Rodolfo E ^{[1
]}

机构：

[1] Institute for Industrial Automation (CSIC), 28500 La Poveda (Madrid), km. 22

来源：

RIAI - Revista Iberoamericana de Automatica e Informatica Industrial | 2009年 / 6卷 / 01期

关键词：

High-performance drilling process; Internal model control; Networked control; Neurofuzzy systems;

D O I：

10.1016/s1697-7912(09)70074-3

中图分类号：

学科分类号：

摘要：

The neurofuzzy system known as Adaptive Network-based Fuzzy Inference System (ANFIS), is a pioneering work, as well as the simplest computationally and the most viable for realtime applications. This work is focused on designing and implementing a neurofuzzy control system of a high-performance drilling process through a Profibus network. The internal model control (IMC) paradigm accomplishes this goal by using direct and inverse process models for designing the control system. From the technical point of view, the aim is to maximize both the material removal rate and useful tool life. The results obtained are significant both in simulation as well as the real time application which are also verified by several performance indices. © 2009 CEA.

引用

页码：31 / 38+127

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