Development of Neural-Based Generalized Predictive Control System of Strip Shape for a Reversal 6-Hi

来源 :Journal of Iron and Steel Research(International) | 被引量 : 0次 | 上传用户:kueixing
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Shape control in strip rolling is intractable because of multivariate,non-linearity,time-variation and coupling of the process.In this paper,a generalized predictive control algorithm based on BP neural network model was introduced for on-line controlling the strip flatness of a reversal UC mill.Some comparative experiments were done with a conventional feedback control based on linear regression model.The results clearly demonstrated the advantage of the proposed scheme. Shape control in strip rolling is intractable because of multivariate, non-linearity, time-variation and coupling of the process. This paper, a generalized predictive control algorithm based on BP neural network model was introduced for on-line controlling the strip flatness of a reversal UC mill. Home comparative experiments were done with a conventional feedback control based on linear regression model. The results clearly demonstrated the advantage of the proposed scheme.
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