Dynamic Safety Constraints by Scenario Based Economic Model Predictive Control
Chapter, Conference object, Peer reviewed
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Original versionBoje, Edward [Eds.] Proceedings of the 19th IFAC World Congress, 2014 p. 9412-9418 Elsevier IFAC Publications / IFAC Proceedings series, International Federation of Automatic Control, 2014 10.3182/20140824-6-ZA-1003.00582
This paper studies use of scenario based model predictive control (MPC) to control a plant into a fault-tolerant state set. For some systems it is not always sufficient that the controller is reconfigured after a fault, it is also necessary that the system is in a given state set when the fault occurs in order to guarantee that the constraints are not violated. This is often achieved by using static safety constraints. However, it may be hard to find such constraints, and they may be conservative. This article presents a method for implementing dynamic safety constraints based on fault scenarios with an economic MPC. The controller is tested using closed-loop simulations.