Linear Feedback Control: Analysis and Design with MATLAB (Advances in Design and Control)
Linear Feedback Control: Analysis and Design with MATLAB (Advances in Design and Control)
Adaptive neural network model based predictive control for air-fuel ratio of SI engines
Engineering Applications of Artificial Intelligence
Neural network control of air-to-fuel ratio in a bi-fuel engine
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Various mathematical models for the air to fuel ratio and control for spark ignition (SI) engines have been proposed to satisfy technical specifications. This paper reveals an improvement of the mean value model (MVEM) and a simple yet effective nonlinear control to enhance the air to fuel regulator. The regulator is designed by using a discrete fuzzy PI algorithm, which provides easy tuning, robustness, and rapid development with a simple architecture. Effects on the dead time, exhausted delay, time-varying air flow and chaotic disturbance are also included. The computer simulation results show satisfactory performance based on standard evaluation criteria. The proposed model has a great potential for practical implementations.