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Intelligent Manufacturing of Television Sets

  • Oscar Castillo
  • Patricia Melin
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 117)

Abstract

We describe in this chapter an intelligent system for controlling the electrical tuning process during the manufacturing of television sets. The electrical tuning problem consists in controlling the imaging system of the television set to meet production quality requirements. Traditionally, this tuning process has been performed by human operators by manually adjusting the imaging system in the television set. In our approach, we use fuzzy logic to automate the tuning process. We use a fuzzy system for controlling the voltage, current, and the time during the tuning process, so that the best possible quality of image is achieved. We also use a specific genetic algorithm for optimizing the parameters and number of rules of the fuzzy system. We have implemented this intelligent system for control in the MATLAB programming language with good simulation results. We compared the fuzzy-genetic approach with other methods for control with very good results. The intelligent system was also tested in a real production plant for several months with very good results.

Keywords

Fuzzy Logic Fuzzy System Intelligent System Intelligent Manufacture Tuning Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2003

Authors and Affiliations

  • Oscar Castillo
    • 1
    • 2
  • Patricia Melin
    • 1
    • 2
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  2. 2.Tijuana, B. C.Mexico

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