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.Full text not available from this repository.
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.
|Divisions:||Div F > Control|
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|Date Deposited:||09 Dec 2016 17:35|
|Last Modified:||27 Apr 2017 00:12|