Model-Based Predictive Adaptive Control of Pulp & Paper Mill Processes, 2007 TAPPI Papermakers and PIMA International Leadership Conference

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This paper describes the application of a model based predictive adaptive process controller on a number of challenging pulp and paper mill control loops including paper machine reel brightness control, lime kiln temperature profile control, slaker temperature control, and Extraction Stage pH control. These loops are difficult to control due to the time delay present in the response. Consequently, many of these processes are manually controlled resulting in inefficient operation and increased operator work load. Paper making includes many such processes that cannot be well controlled with conventional PID techniques. Model predictive control provides a practical alternative to achieve significant reduction in process variability to reduce operating costs.