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Idle speed reduction is one of the important solutions for fuel economy improvement. However, idle speed reduction requires improving the disturbance rejection performance of idle speed control to prevent malfunctions such as engine stall. In mass production engines, PID control is mainly used for the idle speed control because of easiness of the design. However the idle speed control system has nonlinear characteristics. Therefore we have developed the algorithm based on the sliding mode control(SMC) [1]. As a result, superior performance was obtained [2]. Furthermore, for performance, we developed the new algorithm based on Tuning Functions (TF) [3]. As a result, high disturbance rejection performance was obtained.

In case of the turbocharged engine, it is difficult to control both the air mass flow and the EGR flow. Because the air mass flow and the Exhaust Gas Recirculation (EGR) flow are influenced by the boost pressure, it becomes necessary to manipulate the many inputs to control them. Therefore, to overcome this problem, we developed the new Multi Input Multi Output (MIMO) algorithm based on the adaptive sliding mode control (SMC) which eliminated the observer. And consequently, it is confirmed that this new algorithm makes it possible to track both the air mass flow and EGR flow to the desired value.