Nonlinear model predictive control algorithm using velocity-based linearization
A new nonlinear model predictive control algorithm using velocity-based linearization was presented.The model used in the derivation of the control algorithm was obtained by using a velocity-based linearization method,and had a linear structure with variable parameters.The model parameters were then determined by the operation conditions of the system.It was shown that the linearized model approximated well the original nonlinear one.The model predictive control algorithm presented in this paper was based on the Levenberg-Marquardt algorithm,which is efficient in computation and provides a general framework for model predictive control design.A simulation study on a nonlinear continuous stirred tank reactor(CSTR)showed that the proposed control algorithm was effective and applicable to many nonlinear industrial systems.