Performance evaluation of multiplexed model predictive control for a large airliner in nominal and contingency scenarios
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Hartley, E., Maciejowski, J., & Ling, K. (2012). Performance evaluation of multiplexed model predictive control for a large airliner in nominal and contingency scenarios. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6314656
Model predictive control allows systematic han- dling of physical and operational constraints through the use of constrained optimisation. It has also been shown to successfully exploit plant redundancy to maintain a level of control in scenarios when faults are present. Unfortunately, the computa- tional complexity of each individual iteration of the algorithm to solve the optimisation problem scales cubically with the number of plant inputs, so the computational demands are high for large MIMO plants. Multiplexed MPC only calculates changes in a subset of the plant inputs at each sampling instant, thus reducing the complexity of the optimisation. This paper demonstrates the application of multiplexed model predictive control to a large transport airliner in a nominal and a contingency scenario. The performance is compared to that obtained with a conventional synchronous model predictive controller, designed using an equivalent cost function.
Predictive control, Multiplexed model predictive control, Aircraft control
This work was supported by Engineering and Physical Sciences Research Council grant number EP/G030308/1.
External link: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6314656
This record's URL: https://www.repository.cam.ac.uk/handle/1810/245182