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Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles

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This paper investigates the application of model predictive control technology based on mixed H2/H∞ control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example.

Keywords: H2 norm; H∞ norm; active suspension; linear matrix inequality (LMI); model predictive control; railway vehicles

Document Type: Research Article


Affiliations: 1: Control and Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London, UK 2: Control Systems Group, Department of Electronic and Electrical Engineering, Loughborough University, UK

Publication date: September 1, 2008

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