Chapter

Computational and Ambient Intelligence

Volume 4507 of the series Lecture Notes in Computer Science pp 391-398

Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process

  • Rodolfo E. HaberAffiliated withInstituto de Automática Industrial (CSIC)., km. 22,800 N-III. 28500. MadridEscuela Politécnica Superior, Calle Francisco Tomás y Valiente, 11, 28049 – Madrid
  • , Michael SchmittdielAffiliated withInstituto de Automática Industrial (CSIC)., km. 22,800 N-III. 28500. Madrid
  • , Angel AliqueAffiliated withInstituto de Automática Industrial (CSIC)., km. 22,800 N-III. 28500. Madrid
  • , Andrés BustilloAffiliated withNicolás Correa S.A., C/ Alcalde Martin Cobos s/n. 09007
  • , Ramón GalánAffiliated withEscuela Técnica Superior de Ingenieros Industriales., Universidad Politécnica de Madrid. Madrid

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Abstract

Network-based applications are essential to providing intelligence to complex electromechanical processes through networked control systems (NCS). The focus of this paper is the design and application of fuzzy logic control for a type of NCSs. In order to assess its feasibility, a networked control system for high-performance milling process, a type of a complex electromechanical process, is implemented on a multi-point interface (MPI) bus, a proprietary programming interface port for peer-to-peer communications that resembles the PROFIBUS protocol. The manipulated input variable the feed rate as well as the control output variable, spindle torque, are transmitted through this network. A simple computational procedure can run remotely as an optimization function without requiring additional hardware. The results demonstrate that the Fuzzy Logic-based strategy provides accuracy, and adequate machining production time thus increasing the metal removal rate.

Keywords

networked control fuzzy logic high-performance machining