Case study: Level system control performed with LPC2148 microcontroller via PC platform

This paper aims to show the development and methodology of PI controllers, tuning by Ant Colony Optimization (ACO). It is an optimized technique that uses other methods for this purpose, based on metaheuristic. Which solves the problem of the traveling salesman, among others. The PI controller has two parameters that must be determined to start the process control. The ACO technique is used to optimize these constants. In this work will be presented the steps needed to identify and tune a First Order Delay Time (FODT) system and create an ant colony optimization method, through a supervisory system developed in Java programming language. The applicability of this PI tuning technique depends on the knowledge of the desired response. In this work, it is essential that the process of optimization provides the shortest possible settling time response, and no (or almost no) overshoot.