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AssigneeHoneywell Inc.
InventorsQiugang Lu, Bhusban Gopaluni, Michael Forbes, Philip Loewen, Johan Backstrom, Guy Dumont
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Sheetmaking cross-directional (CD) control requires a sophisticated model-based controller whose operation requires an accurate model of process behavior, but due to the complexity of the process, identifying these process models is challenging. Current techniques rely on open-loop process experimentation. Using non-causal scalar transfer functions for the steady-state CD process model and controller model avoid the problem of large dimensions associated with the CD process. These non-causal transfer functions can be represented by causal transfer functions that are equivalent to the non-causal ones in the sense of the output spectrum. A closed-loop optimal input design framework is proposed based on these causal equivalent models. CD actuators have responses in both sides along the cross direction which can be viewed as a non-causal behavior. Techniques to perform the non-causal modeling are demonstrated and developed in a closed-loop optimal input design framework based on non-causal modeling of the closed-loop CD process.
A method of closed-loop identification of process models for a model predictive controller (MPC) for an industrial sheetmaking system having a plurality of actuators arranged in the cross-direction (CD) wherein the MPC provides control for a spatially-distributed sheet process which is employed in the sheetmaking system, the method comprises the steps of:
A multivariable model predictive controller (MPC) for providing control to a cross-direction (CD) process having at least one manipulated actuator array and at least one controlled measurement array, wherein the MPC employs a process model that is defined by a matrix and the MPC comprises a processor that is configured to:
A non-transitory computer readable medium embodying a computer program for identifying alternative process models for a model predictive controller (MPC) employed to control a cross-directional process having a manipulated actuator array comprising a plurality of actuators and at least one controlled measurement array, wherein the MPC employs an initial process model that is defined by a matrix, wherein the program comprises readable program code for:
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