New Advances on Modelling Control Processes Applied to Detection Trains Operations

Abstract

In the main frame of the optimal control process has to be focused this work, where a methodology based on the performance of Genetic Algorithms to be used to search the appropriate knowledge base, defined in the sense of Fuzzy Logic, for the process controller. Two stages have to be considered to obtain the control system - Initial Stage and Conclusions Phase. First point search the control law for the reference functional point and defines design concepts and how to do it works. Second stage search allows adjusting the control action according to the dynamic of the process during its cycle-life.