ADAPTIVE FUZZY REGULATION OF STRIP TENSION AND LOOPER ANGLE IN HOT FINISHING MILL

This paper presents an adaptive fuzzy controller with feedback lineari zation and switching control technique that is used to regulate the te nsion of steel strip and the angle of looper system that exist between stands of the hot finishing mill. Each control loop in the proposed c ontroller adopted an adaptive fuzzy logic structure which is reported to be superior in performance to the neural network techniques. The ad aptive fuzzy controller is robust due to its fuzzy representation of t he controller and is adaptive due to its training capability. The feed back linearizing control term improves control performance particularl y in the transient behavior, whereas the switching control term compen sates for the inevitable model approximation error incurred by the fuz zy logic representation. Combining all these terms, the proposed contr oller is asymptotically stable with robustness in the adaptive fuzzy c ontroller.