We present an industrial case study in automotive control of significant complexity: the new common rail fuel injection system for Diesel engines, currently under production by Magneti Marelli Powertrain. In this system, a flow-rate valve, introduced before the High Pressure (HP) pump, regulates the fuel flow that supplies the common rail according to the engine operating point. The standard approach followed in automotive control is to use a mean-value model for the plant and to develop a controller based on this model. In this particular case, this approach does not provide a satisfactory solution as the discrete-continuous interactions in the fuel injection system, due to the slow time-varying frequency of the HP pump cycles and the fast sampling frequency of sensing and actuation, play a fundamental role. We present a design approach based on a hybrid model of the Magneti Marelli Powertrain common-rail fuel-injection system for four-cylinder multi-jet engines and a hybrid approach to the design of a rail pressure controller. The hybrid controller is compared with a classical mean-value based approach to automotive control design whereby the quality of the hybrid solution is demonstrated.

%B Hybrid Systems: Computation and Control %S Lecture Notes in Computer Science %I Springer-Verlag %V 3927 / 2006 %P 79-92 %G eng %0 Conference Paper %B Proc. IEEE Int. Conf. on Decision and Control %D 2003 %T Stabilization of a class of discrete-time hybrid automata %A M. Zoncu %A A. Balluchi %A A. Sangiovanni Vincentelli %A A. Bicchi %K Embedded Control %K Robotics %XIn this paper, the problem of stabilizing linear discrete time hybrid automata is considered. A synthesis methodology is obtained by extending to hybrid systems the stabilization techniques based on stable convex combinations, originally developed for switching systems. An algorithm to explore the candidate stabilizing controller actions is proposed and an application to an automotive engine control problem is described.

%B Proc. IEEE Int. Conf. on Decision and Control %P 1147-1152 %G eng