Intelligent Control of Fuel in an Internal Combustion Engine for Managing of Environmental Pollution



Refer to this research, a model free environmental management fuzzy sliding mode management (MF- FSMC) design and application to internal combustion (IC) engine has proposed in order to tuning the fuel ratio to reduce the pollution. Even though, sliding mode methodology (SMM) is used in wide range areas but it has some disadvantages; chattering phenomenon which caused to motor oscillation and instability in system and equivalent dynamic formulation due to unique safety environmental management controller design of the IC engine. According to the Institute for Market Oracle average fuel consumption of gasoline cars in Iran is about

11 liters per day while the average fuel consumption in other countries such as Germany and Japan is 2.5 in Britain, is 3.5 in France,  is 1.9 in Canada is 6.5 and in America is 7.3 liters per day so this research focuses on design a new method to reduce the fuel ratio in a car to have a safe environment. The fuzzy function in fuzzy sliding mode methodology is based on Mamdani’s fuzzy inference system (MFIS) and it has one input and one output. The input represents the function between sliding theory, error and the rate of error. The outputs represent the dynamic estimator to estimate the nonlinear dynamic equivalent in fuzzy sliding mode algorithm. The fuzzy sliding mode methodology is tune the environment pollution based on tune the fuel ratio. Simulation results signify good performance of fuel ratio in presence of uncertainty and external disturbance.

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