Design High Impact Fuzzy Baseline Variable Structure Methodology to Artificial Adjust Fuel Ratio

Design High Impact Fuzzy Baseline Variable Structure Methodology to Artificial Adjust Fuel Ratio

Автор: Farzin Piltan, Mojdeh Piran, Mansour Bazregar, Mehdi Akbari

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 2 vol.5, 2013 года.

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This paper expands a Multi Input Multi Output (MIMO) fuzzy baseline variable structure control (VSC) which controller coefficient is off-line tuned by gradient descent algorithm. The main goal is to adjust the optimal value for fuel ratio (FR) in motor engine. The fuzzy inference system in proposed methodology is works based on Mamdani-Lyapunov fuzzy inference system (FIS). To reduce dependence on the gain updating factor coefficients of the fuzzy methodology, PID baseline method is introduced. This new method provides an optimal setting for other factors which crated by PID baseline method. The gradient descent methodology is off-line tune all coefficients of baseline fuzzy and variable structure function based on mathematical optimization methodology. The performance of proposed methodology is validated through comparison with fuzzy variable structure methodology (FVSC). Simulation results signify good performance of fuel ratio in presence of different torque load and external disturbance.

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Baseline Method, Gradient Descent Optimal Algorithm, Variable Structure Control, Fuzzy Inference System, Lyapunov Based Stability

Короткий адрес: https://sciup.org/15010366

IDR: 15010366

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