Tuning Software Based on Genetic Algorithm Applied to Industrial PID Loops

摘要

Time-delay processes are frequently found in industry and the most common representations are first order plus delay time (FOPDT) and integrator plus delay time (IPDT) transfer functions. The identification of time delay systems is a challenging task and usually, the performance of its control is not optimal. This work presents a software based on a real coded genetic algorithm to identify the system, using open or close loop information, and to tune the PID controller using several methods. Results on simulation and real industrial loops are presented.