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Output disturbance rejection using parallel model predictive control

Andrade-Cabrera, C and Maciejowski, JM (2013) Output disturbance rejection using parallel model predictive control. 2013 24th International Conference on Information, Communication and Automation Technologies, ICAT 2013.

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The solution time of the online optimization problems inherent to Model Predictive Control (MPC) can become a critical limitation when working in embedded systems. One proposed approach to reduce the solution time is to split the optimization problem into a number of reduced order problems, solve such reduced order problems in parallel and selecting the solution which minimises a global cost function. This approach is known as Parallel MPC. The potential capabilities of disturbance rejection are introduced using a simulation example. The algorithm is implemented in a linearised model of a Boeing 747-200 under nominal flight conditions and with an induced wind disturbance. Under significant output disturbances Parallel MPC provides a significant improvement in performance when compared to Multiplexed MPC (MMPC) and Linear Quadratic Synchronous MPC (SMPC). © 2013 IEEE.

Item Type: Article
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:06
Last Modified: 31 Aug 2021 07:06
DOI: 10.1109/ICAT.2013.6684069