Rejection of the Feed-Flow Disturbances in a Multi-Component Distillation Column Using a Multiple Neural Network Model-Predictive Controller
نویسنده
چکیده مقاله:
This article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (MPC) of a chemical plant. A combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (MIMO) process with time delays. An optimization procedure for a neural MPC algorithm based on this model is then developed. The proposed scheme has been tested on a model of an 18-plate multi-component distillation column. The algorithm provides excellent disturbance rejection for this process.
منابع مشابه
rejection of the feed-flow disturbances in a multi-component distillation column using a multiple neural network model-predictive controller
this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays. an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...
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عنوان ژورنال
دوره 23 شماره 2
صفحات 13- 23
تاریخ انتشار 2004-12-01
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