Intelligent control of the electrical tuning process in televisions using fuzzy logic and genetic algorithms

The authors describe an intelligent system for controlling the electrical tuning process during the manufacturing of televisions. The electrical tuning problem consists in controlling the imaging system of the television to meet production quality requirements. Traditionally, this tuning process has been performed by human operators, by manually adjusting the imaging system in the television. In their approach, they use fuzzy logic to automate the tuning process for the televisions. They 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. They have implemented this intelligent system for control in the MATLAB programming language with good simulation results.