Advanced predictive control of a distillation column with neural models

• Autorzy: Lawrynczuk M.
• Języki publikacji: EN

Abstrakty

EN

This paper describes application of linear and nonlinear Model Predictive Control (MPC) algorithms to a cyclohexane-heptane distillation column. Two nonlinear MPC techniques are compared in terms of control accuracy and computational complexity: MPC with Nonlinear Optimization (MPC-NO) and MPC with Nonlinear Prediction and Linearization (MPC-NPL). In nonlinear MPC a feedforward neural model is used rather than significantly complicated and causing numerical problems fundamental model of the process.

Słowa kluczowe

EN

model predictive control; neural networks; optimization; quadratic programming

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2007
• Tom: Vol. 17, no. 2
• Strony: 163--189
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Lawrynczuk M.

• Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, Warszawa, Poland,

Bibliografia

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