Design Model Free Switching Gain Scheduling Baseline Controller with Application to Automotive Engine

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Author(s)

Farzin Piltan 1,* Mehdi Akbari 1 Mojdeh Piran 1 Mansour Bazregar 1

1. Industrial Electrical and Electronic Engineering SanatkadeheSabze Pasargad. CO (S.S.P. Co), NO:16 , PO.Code 71347-66773, Fourth floor , Dena Apr , Seven Tir Ave , Shiraz , Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2013.01.07

Received: 20 Apr. 2012 / Revised: 22 Jul. 2012 / Accepted: 5 Sep. 2012 / Published: 8 Dec. 2012

Index Terms

IC Engine, Fuel Ratio, Port Fuel Injection, Direct Injection, Baseline Method, Linear Part Sliding Mode Method

Abstract

Internal combustion (IC) engines are optimized to meet exhaust emission requirements with the best fuel economy. Closed loop combustion control is a key technology that is used to optimize the engine combustion process to achieve this goal. In order to conduct research in the area of closed loop combustion control, a control oriented cycle-to-cycle engine model, containing engine combustion information for each individual engine cycle as a function of engine crank angle, is a necessity. This research aims to design a new methodology to fix the fuel ratio in internal combustion (IC) engine. Baseline method is a linear methodology which can be used for highly nonlinear system’s (e.g., IC engine). To optimize this method, new linear part sliding mode method (NLPSM) is used. This online optimizer can adjust the optimal coefficient to have the best performance.

Cite This Paper

Farzin Piltan, Mehdi Akbari, Mojdeh Piran, Mansour Bazregar, "Design Model Free Switching Gain Scheduling Baseline Controller with Application to Automotive Engine", International Journal of Information Technology and Computer Science(IJITCS), vol.5, no.1, pp.65-73, 2013. DOI:10.5815/ijitcs.2013.01.07

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[28]Farzin Piltan, N. Sulaiman, A. Jalali & F. Danesh Narouei, “Design of Model Free Adaptive Fuzzy Computed Torque Controller: Applied to Nonlinear Second Order System,” International Journal of Robotics and Automation, 2 (4):232-244, 2011.

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[32]Farzin Piltan, N. Sulaiman, Sadeq Allahdadi, Mohammadali Dialame, Abbas Zare, “Position Control of Robot Manipulator: Design a Novel SISO Adaptive Sliding Mode Fuzzy PD Fuzzy Sliding Mode Control,” International Journal of Artificial intelligence and Expert System, 2 (5):208-228, 2011.

[33]Farzin Piltan, SH. Tayebi HAGHIGHI, N. Sulaiman, Iman Nazari, Sobhan Siamak, “Artificial Control of PUMA Robot Manipulator: A-Review of Fuzzy Inference Engine And Application to Classical Controller ,” International Journal of Robotics and Automation, 2 (5):401-425, 2011.

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[49]Farzin Piltan, M. A. Dialame, A. Zare, A. Badri ,”Design Novel Lookup table changed Auto Tuning FSMC: Applied to Robot Manipulator” International Journal of Engineering, 6(1): 25-40, 2012.

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[51]Farzin Piltan, F. Aghayari, M. R. Rashidian, M. Shamsodini, ”A New Estimate Sliding Mode Fuzzy Controller for Robotic Manipulator” International Journal of Robotics and Automation, 3(1): 45-58, 2012.

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