Application of adaptive control to the fluctuation of engine speed at idle
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fuzzy control on the basis of equality relations with an example from idle speed control
IEEE Transactions on Fuzzy Systems
Digital control applications using TI digital signal controller
WSEAS Transactions on Systems and Control
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Recently, it has become important to reduce the fuel consumption of automobile engines in order to reduce the amount of CO2 emission. Reduced consumption can be achieved by reducing the idle rotation speed. However, the idling stability at low idle speeds tends to be worse than that at higher idle speeds. Thus, more accurate idle speed control is required. In the present paper, we propose an engine model-based feed-forward idle control system. The model-based control system is demonstrated to achieve better control results. In addition, aging and environmental changes (such as temperature reduction) vary with the torque required for driving in-vehicle equipments and cause a deterioration of control for maintaining the idle speed. Regarding this problem, a new learning control method is developed and applied to an actual vehicle to verify that controllability can be improved.