Hartley, EN and MacIejowski, JM and Ling, KV (2012) Performance evaluation of multiplexed model predictive control for a large airliner in nominal and contingency scenarios. Proceedings of the American Control Conference. pp. 1199-1204. ISSN 0743-1619Full text not available from this repository.
Model predictive control allows systematic handling 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 computational 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. © 2012 AACC American Automatic Control Council).
|Divisions:||Div F > Control|
|Depositing User:||Cron Job|
|Date Deposited:||15 Dec 2015 13:10|
|Last Modified:||10 Feb 2016 03:55|