Intelligent Dynamic Simulation of Batch Cooking
نویسنده
چکیده
Intelligent dynamic simulator has been developed with linguistic equations (LE) for a SuperBatch coking process. The LE models consist of two parts: interactions are handled with linear equations, and nonlinearities are taken into account by scaling with membership de nitions. Data-driven modelling was done by FuzzEqu toolbox on the basis of the measurements of the cooking liquor analyser CLA 2000: the concentrations of alkali, total dissolved solids and lignin are measured online during individual cooks in a batch digester house. According to extensive on-line tests in an industrial pulp mill, dynamic LE models are well suited for forecasting the cooking result: residual alkali, lignin and dissolved solids. The models are adapted to the changing operating conditions with con gurable parameters.
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