Model Predictive Control of an Overactuated Roll Gap with a Moving Manipulated Variable
Proceedings of the ... American Control Conference/Proceedings of the American Control Conference, pp. 1931–1936
Abstract
Model predictive control (MPC) has been used in a variety of industrial processes. Due to its large computation time application to fast and complex processes is limited. Therefore, reducing complexity has been focus of intense research. In this paper, a complexity reduction strategy for a linear MPC is developed. It is used for the control of an over-actuated roll gap with two different actuator types in a cold rolling mill. One of the actuators is able to accept new set points only at a much slower sample time than the fast actuator. In order to coordinate the actuators, a moving manipulation point scheme is introduced where a single time-varying optimization variable of the slow actuator moves through the control horizon of the fast actuator. The fast actuator ensures reference tracking regarding the roll gap when the slow one is idle. The proposed scheme reduces the number of optimization variables as well as constraints and thus enables control of faster processes. Simulation results show the proof of concept and an enhancement in computation time. Moreover, a real-time implementation is demonstrated on a cold rolling mill.
Authors 4
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Affiliation as printed
Institute of Automatic Control, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Metal Forming, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Automatic Control, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute of Metal Forming, RWTH Aachen University, Aachen, Germany
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