Design of a self-adaptive fuzzy tension controller for tandem rolling

A fuzzy logic controller (FLC) is designed to maintain constant tension for tandem rolling mills. Self-adaptive techniques were introduced to optimize the proposed FLC´s parameters (i.e., to make it flexible and enable it to generalize). With the inclusion of supervision and concern for generic control criteria, the optimal parameters of the fuzzy inference system were either tuned by a backward propagation algorithm or determined by means of a genetic algorithm. In simulations, the proposed neuro-fuzzy controller exhibited the real-time applicability, while the proposed genetic fuzzy controller revealed outstanding global optimization ability.