Abstract
Abstract An expanded tobacco production line is a typical industrial process with a large time lag, nonlinearity and time-varying nature. Aiming at the controller design problem of this industrial process, this paper proposes a control scheme that adopts the Dalin control algorithm based on a data-driven model. The scheme first regards the industrial process of expanding tobacco as a dynamic object that can be linearized near the working point, then calculates the parameters of the dynamic linearized model by using the Kaczmarz projection algorithm, and finally obtains the controller parameters according to the Dahlin control algorithm. The simulation and calculation results show that the scheme can extract an effective data-driven model from the production data and design reliable controller parameters.
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