Abstract
Flatness control system is characterized by multi-parameters, strong coupling, pure time delay, which complicate the establishment of an accurate mathematical model. Therefore, a control scheme that combines dynamic decoupling, PI (Proportion and Integral) control and adaptive Smith predictive compensation is proposed. To this end, a dynamic matrix is used to decouple the control system. A multivariable coupled pure time-delay system is transformed into several independent generalized single-loop pure time-delay systems. Then, a PI-adaptive Smith predictive controller is constructed for the decoupled generalized single-loop pure time-delay system. Simulations show that the scheme has a simple and feasible structure, and good control performance. When the mathematical model of the control system is inaccurate, the control performance of adaptive Smith control method is evidently better than that of the ordinary Smith control method. The model is successfully applied to the cold rolling production site through LabVIEW, and the control accuracy is within 5I. This study reveals a new solution to the problem of coupled pure time-delay in flatness control system.
Highlights
Cold rolling strip is characterized by high speed, heavy load, large width-thickness ratio, multi-parameters etc
This study presents a decoupling adaptive Smith predictive control algorithm based on component flatness control
The hydraulic system of roll tilting (RT), work roll bending (WRB) and intermediate roll bending (IRB) of the cold rolling mill and the shapemeter can be approximated to a first-order model [20]
Summary
Cold rolling strip is characterized by high speed (rolling speed), heavy load, large width-thickness ratio, multi-parameters etc. This study presents a decoupling adaptive Smith predictive control algorithm based on component flatness control This algorithm handles the coupling and pure time-delay of the loop respectively, and simplifies the design of the control system. For the generalized single-loop pure time-delay system, an adaptive Smith predictor is designed to solve the problem of pure time-delay, and improve the control performance when the model is mismatched [17] In this control system, the transverse multi-point flatness is recognized as several characteristic components by pattern recognition [18], and the overall flatness is controlled by controlling the characteristic components. Compared with other components flatness control system, the control process is more stable and faster
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