Ulrich Knechtelsdorfer , Martin Stefan Baumann , Andreas Steinboeck , Andreas Kugi
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引用次数: 0
Abstract
Almost all flat steel production involves processing in a tandem hot strip finishing mill. The mass flow in the hot strip finishing mill influences final product’s quality and the stability of the process. The mass flow can be categorized into longitudinal and lateral depending on its main direction. Uncontrolled lateral strip movement may lead to plant damage; therefore, the lateral strip motion must be controlled. An existing model for the lateral strip motion is extended to serve as a basis for a model predictive controller. The controller systematically respects the limits of the manipulated variable, its time derivative, and the lateral position of the strip and shows good convergence behavior. The proposed control strategy works on top of the control structure currently applied at the plant. A state observer is proposed for the angle and position of the strip in the roll gap, which are not directly measurable but are required by the model predictive controller. The observer also estimates the camber of the strip in the finishing mill, which is valuable information for the operators. The efficacy of the proposed control structure is evaluated by simulation studies utilizing a mathematical plant model validated by measurements.
期刊介绍:
This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others.
Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques.
Topics covered include:
• Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods
Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.