Fuzzy Looper Control With Neural-Net Based Tuning for Rolling Mills
نویسندگان
چکیده
|Traditional looper control methods cannot deal e ectively with unmodeled dynamics and large variations which can lead to scrap runs and damages to machinery in steel industry. This paper presents the design of a fuzzy looper control with neural-net based tuning of rule-base and defuzzi cation. The e ects of various design options are discussed and practical conclusions are made. Also the results are compared with the results of di erent initial rule-bases, PID control, and with membership function tuning.
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