Marco Ricco

Marco Ricco

Postgraduate research student

Academic and research departments

Department of Mechanical Engineering Sciences.

My publications


Theunissen Johan, Sorniotti Aldo, Gruber Patrick, Fallah Saber, Ricco Marco, Kvasnica Michal, Dhaens Miguel (2019) Regionless Explicit Model Predictive Control of Active Suspension Systems with Preview, IEEE Transactions on Industrial Electronics Institute of Electrical and Electronics Engineers (IEEE)
Latest advances in road profile sensors make the implementation of pre-emptive suspension control a viable option for production vehicles. From the control side, model predictive control (MPC) in combination with preview is a powerful solution for this application. However, the significant computational load associated with conventional implicit model predictive controllers (i-MPCs) is one of the limiting factors to the widespread industrial adoption of MPC. As an alternative, this paper proposes an explicit model predictive controller (e-MPC) for an active suspension system with preview. The MPC optimization is run offline, and the online controller is reduced to a function evaluation. To overcome the increased memory requirements, the controller uses the recently developed regionless e-MPC approach. The controller was assessed through simulations and experiments on a sport utility vehicle demonstrator with controllable hydraulic suspension actuators. For frequencies
Ricco Marco, Zanchetta Mattia, Cardolini Rizzo Giovanni, Tavernini Davide, Sorniotti Aldo, Chatzikomis Christoforos, Velardocchia Mauro, Geraerts Marc, Dhaens Miguel (2019) On the design of yaw rate control via variable front-to-total anti-roll moment distribution, IEEE Transactions on Vehicular Technology IEEE
In vehicle dynamics, yaw rate control is used to improve the cornering response in steady-state and transient conditions. This can be achieved through an appropriate anti-roll moment distribution between the front and rear axles of a vehicle with controllable suspension actuators. Such control action alters the load transfer distribution, which in turn provokes a lateral tire force variation. With respect to the extensive set of papers from the literature discussing yaw rate tracking through active suspension control, this study presents: i) A detailed analysis of the effect of the load transfer on the lateral axle force and cornering stiffness; ii) A novel linearized single-track vehicle model formulation for control system design, based on the results in i); and iii) An optimization-based routine for the design of the non-linear feedforward contribution of the control action. The resulting feedforward-feedback controller is assessed through: a) Simulations with an experimentally validated model of a vehicle with active anti-roll bars (case study 1); and b) Experimental tests on a vehicle prototype with an active suspension system (case study 2).