Archivio Istituzionale della RicercaUsing Lyapunov theory, Pontryagin's minimum principle, and affine quadratic stability, a novel robust optimal control strategy is developed for active suspension systems to enhance vehicle ride comfort and handling performance. The controller has a simple structure, making its suitable for real-time implementation. The required sensor configuration includes a six-axis IMU and four LVDTs. The proposed controller is suitable for on-road commercial vehicles where ride comfort over bump disturbances and handling performance are the most concerns. The effectiveness of the controller is verified through simulation results using IPG CarMaker software.
A novel robust optimal active control of vehicle suspension systems / Fallah, S.; Sorniotti, A.; Gruber, P.. - 19:(2014), pp. 11213-11218. (Intervento presentato al convegno 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 nel 2014) [10.3182/20140824-6-za-1003.00685].
A novel robust optimal active control of vehicle suspension systems
Sorniotti A.;
2014
Abstract
Using Lyapunov theory, Pontryagin's minimum principle, and affine quadratic stability, a novel robust optimal control strategy is developed for active suspension systems to enhance vehicle ride comfort and handling performance. The controller has a simple structure, making its suitable for real-time implementation. The required sensor configuration includes a six-axis IMU and four LVDTs. The proposed controller is suitable for on-road commercial vehicles where ride comfort over bump disturbances and handling performance are the most concerns. The effectiveness of the controller is verified through simulation results using IPG CarMaker software.
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https://hdl.handle.net/11583/2990850
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