By Topic

Continuous nonlinear model predictive control of a hybrid water system — Application of DNPC to a Dutch polder

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Nederkoorn, E. ; DotX Control Solutions, Alkmaar, Netherlands ; Schuurmans, J. ; Schuurmans, W.

Incorporating weather forecasts in the control of land surface water levels requires predicting the outcome of a control action. In Model-Predictive Control (MPC) such predictions are generated by a model of the water system. The actuators in this specific application typically cause discontinuities in this model. Avoiding complex solving techniques for such hybrid systems, this paper introduces an alternative which enables pure continuous model-predictive control by smoothing the jumps. Though the resulting underlying model is smooth, it is also highly nonlinear. This requires specialized continuous MPC methods, like the DotX Nonlinear Predictive Controller (DNPC), which are able to cope with these nonlinearities. Employing DNPC for this computation yields an approximation to an optimal control prediction. With a final postprocessing step this control prediction can be translated to the original hybrid system. This paper verifies this method by applying DNPC, equiped with an approximated continuous nonlinear model, to a real life hybrid water system.

Published in:

Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on

Date of Conference:

11-13 April 2011