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Model-based predictive controller with steady-state model adaptation
Model-based predictive controller with steady-state model adaptation
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机译：具有稳态模型自适应的基于模型的预测控制器
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摘要
A process controller- optimizer with a nonlinear steady-state model includes a model based predictive controller running on a computer to receive measurements of controlled variables and disturbance variables from a process to compute manipulated variables to control the process as a function of a dynamic process model, a filter to provide an estimated state of the process to the model based predictive controller, a steady-state real-time optimizer setting economically optimal steady-state targets to the model-based predictive controller, a model adaptation tool to modify the nonlinear steady state model to be consistent with process data and to modify a linear dynamic model to be consistent with the non linear steady state model in the steady-state, and a quasi steady state estimator to provide estimates of manipulated variables and controlled variables such that they are consistent with a steady state of the process for a given disturbance.
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