Honeywell Asca Inc.

Honeywell Acsa Inc.

Pengling He

Johan Backstrom

Gregory Edward Stewart

Junqiang Fan

A method includes predicting measurements or states to be used by a controller to control a process. The predicted measurements or states are generated using a model of the process. The method also includes providing the predicted measurements or states to the controller such that the controller uses the predicted measurements or states at a sampling rate of the controller. In addition, the method includes updating at least some of the predicted measurements or states using measurements associated with a characteristic of an item from a sensor. The model may represent a discrete time model, and the method may also include generating the discrete time model using a continuous time model of the process. The measurements could be received from a plurality of sensors, where at least two of the sensors have different sampling times.

Apparatus and method for controlling a paper machine or other machine using measurement predictions based on asynchronous sensor information

A process for coordinated control of machine direction MD and cross direction CD actuators in a sheetmaking machine for manufacturing a sheet of material is disclosed. The process involves measuring a plurality of sheet properties at regular intervals to collect sheet measurement data. The sheet measurement data is manipulated to establish a plurality of sheet property measurement arrays, which are then mapped to a common resolution. The common resolution sheet property measurement arrays are concatenated into one larger one-dimensional common resolution measurement array. The common resolution measurement array and an array of past changes in actuator set point are used as inputs to a paper machine process model state observer to generate the estimated current internal state of the sheet manufacturing process. A plurality of future-sheet property target arrays are concatenated into one target array. The array of the estimated current internal state of the web manufacturing process and the paper machine process model are employed to generate an array of future predictions of sheet properties. The array of future predictions of sheet properties, the target array, object function weights, the last actuator set points, and hard constraints are inputted into an object function which is solved to yield optimal changes in the actuator set points for coordinated MD and CD control of the sheet making process.

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New Westminister, Canada

Pengling He