Multiobjective tuning of robust PID controllers using evolutionary algorithms

In this article a new procedure to tune robust PID controllers is presented. To tune the controller parameters a multiobjective optimization problem is formulated so the designer can consider conflicting objectives simultaneously without establishing any prior preference. Moreover model uncertainty, represented by a set of possible models, is considered. The multiobjective problem is solved with a specific evolutionary algorithm (is not an element of-MOGA). Finally, an application to a non-linear thermal process is presented to illustrate the technique.