MIMO predictive control with constraints by using an embedded knowledge based model [hydraulic structures]

The Compagnie Nationale du Rhone is a statutory operating company responsible for managing the Rhone in the areas of electricity generation, navigation, river maintenance and miscellaneous developments, as well as for flood management. The study of hydraulic structures makes systematic use of mathematical models in order to verify their behaviour. Online use of these models to synthesise predictive control permits basing control on almost perfect knowledge of every aspect of the process. Achieving this aim requires good management of the embedded numeric model and the incorporation of an efficient resetting procedure. A simple method for identifying an adaptive linear model renewed at every step of the calculation permits applying the theoretical potential of predictive functional control type predictive control. The control can be calculated via an RST synthesis. This approach permits utilising the potential of the frequency study to validate the regulation´s robustness and optimise its adjustments