Hybrid nonlinear model predictive control of a cooling water network
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Date
Authors
Viljoen, Johannes Henning
Muller, Cornelius Jacobus
Craig, Ian Keith
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
A Hybrid Nonlinear Model Predictive Control (HNMPC) strategy is developed for temperature control and power consumption minimisation of a cooling water network. The HNMPC uses a gradient descent optimisation algorithm for the continuous manipulated variables, and an enumerated tree traversal algorithm to control and optimise the Boolean manipulated variables. The HNMPC is subjected to disturbances similar to those experienced on a real plant, and its performance compared to a continuous Nonlinear Model Predictive Control (NMPC) and two base case scenarios. Power consumption is minimised, and process temperature disturbances are successfully rejected. Monetary benefits of the HNMPC control strategy are estimated.
Description
Keywords
Hybrid nonlinear model predictive control (HNMPC), Nonlinear model predictive control (NMPC), Cooling tower, Cooling water network, Optimisation, Gradient descent, Hybrid systems, Electricity consumption minimisation
Sustainable Development Goals
Citation
Viljoen, J.H., Muller, C.J. & Craig, I.K. 2020, 'Hybrid nonlinear model predictive control of a cooling water network', Control Engineering Practice, vol. 97, art. 104319, pp. 1-18.