Method for optimizing a model predictive control system

Details Method for optimizing a model predictive control system Method for optimizing a model predictive control system

G - Physics

06

F

354/23

G06F 15/46 (1990.01)

Patent

CA 2016603

ABSTRACT A method for operating a control system by solving the constrained optimization problem involved in the Model Predictive Control (MPC) approach which reduces the on-line computational requirements by a factor of about 1000. The reduction in computational effort is achieved by replacing general purpose off-the-shelf optimization algorithms, such as, Quadratic Programming (QP) and Linear Programming (LP), currently being used in the control system, by a new specialized algorithm. The method of the invention exploits the structure of certain MPC formulations and provides a direct (non-iterative) path to the desired solution.

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