Modeling and Switching Fuzzy Control of the Air Path of a Turbocharged Spark Ignition Engine

Combining turbocharging with downsizing has now become a key technique to improve engine performance as fuel economy, pumping loss reduction to increase engine efficiency or drivability optimization in the automotive industry. The technology potential is fully exploited only with an efficient air path management system. In this context, this paper deals with the nonlinear modeling of the air system of a turbocharged spark ignited (TCSI) engine and proposes a new control strategy based on switching Takagi-Sugeno (TS) fuzzy model [Tanaka et al., 2001] for this complex system. The proposed strategy takes also into account the dynamics of the air actuators in the control design. This switching controller handles easily the high nonlinearities and facilitates considerably the global stability analysis of the whole turbocharged air system. Moreover, this approach can be generalized for more complex turbocharging systems with some small adaptations.