Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Model Predictive Control

Author(s):

S. Mariéthoz, S. Almér
Conference/Journal:

Dynamics and Control of Switched Electronic Systems, edited by Francesco Vasca and Luigi Iannelli, pp. 321-354
Abstract:

In model predictive control, the control law is synthesised by formulating the control objective as a constrained optimal control problem. This allows us to formulate in a straightforward way a wide range of control objectives for a wide range of systems where an explicit model of the dynamics is available. This chapter describes the typical problem classes that arise in the control of switched electronics systems, which are characterised by the hybrid nature of their dynamics. It describes the associated model predictive control classes and discusses how to formulate an optimisation problem tractable in real time. The tractability issue is particularly important due to the switching and sampling frequencies that typically range from a few hundred hertz to a few megahertz. Finally, the chapter also develops problem formulations that optimise the system switched behaviour in order to tackle objectives such as minimising the harmonic distortion or system losses.

Year:

2012
Type of Publication:

Book Chapter
Supervisor:



No Files for download available.
@incollection{mpc_springer,
year={2012},
isbn={978-1-4471-2884-7},
booktitle={Dynamics and Control of Switched Electronic Systems},
series={Advances in Industrial Control},
editor={Vasca, Francesco and Iannelli, Luigi},
doi={10.1007/978-1-4471-2885-4_11},
title={Model Predictive Control},
urlremoved={http://dx.doi.org/10.1007/978-1-4471-2885-4_11},
publisher={Springer London},
author={Mari{\'e}thoz, S{\'e}bastien and Alm{\'e}r, Stefan},
pages={321-354},
language={English}
}
Permanent link