초록 ▼

A model predictive controller (MPC) for predictive control of nonlinear processes utilizing an EKF (Extended Kalman Filter) and a nominal trajectory generator. The nominal trajectory generator includes another instance of EKF, a linear corrector, and a time-varying deviation model. A nominal control

A model predictive controller (MPC) for predictive control of nonlinear processes utilizing an EKF (Extended Kalman Filter) and a nominal trajectory generator. The nominal trajectory generator includes another instance of EKF, a linear corrector, and a time-varying deviation model. A nominal control trajectory can be predicted and an optimal solution for the time-varying deviation model can be computed based on an approximation of a system inverse known as signal de-convolution. The EKF can be utilized to estimate a current process state by supplying a measured output and to predict a future nominal trajectory by supplying a reference output. A Kalman smoother can also be utilized for the signal de-convolution in order to obtain enhanced trajectory estimates.

대표청구항 ▼

What is claimed is: 1. A computer-implemented method for the predictive control of a process, comprising:estimating a current state of a process model by supplying measured process data to a state estimator;estimating a nominal future process input, state and output trajectory data with respect to s

What is claimed is: 1. A computer-implemented method for the predictive control of a process, comprising:estimating a current state of a process model by supplying measured process data to a state estimator;estimating a nominal future process input, state and output trajectory data with respect to said process model anddetermining optimal values of deviations of future trajectory data from said nominal future trajectory data, in order to automatically determine manipulated variables to be applied to the process.