International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 5, No. 1, 8 Dec. 2012
Cover page and Table of Contents: PDF (size: 631KB)
Design Model Free Switching Gain Scheduling Baseline Controller with Application to Automotive Engine
Full Text (PDF, 631KB), PP.65-73
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Author(s)
Farzin Piltan
1,*
Mehdi Akbari
1
Mojdeh Piran
1
Mansour Bazregar
1
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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[27]Farzin Piltan, Atefe Gavahian, N. Sulaiman, M.H. Marhaban, R. Ramli, “Novel Sliding Mode Controller for robot manipulator using FPGA,” Journal of Advanced Science & Engineering Research, 1 (1): 1-22, 2011.
[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.
[34]Farzin Piltan, N. Sulaiman, Abbas Zare, Sadeq Allahdadi, Mohammadali Dialame, “Design Adaptive Fuzzy Inference Sliding Mode Algorithm: Applied to Robot Arm,” International Journal of Robotics and Automation , 2 (5): 283-297, 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.
[50]Farzin Piltan, B. Boroomand, A. Jahed, H. Rezaie ,”Methodology of Mathematical Error-Based Tuning Sliding Mode Controller” International Journal of Engineering, 6(2): 96-112, 2012.
[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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[54]Farzin Piltan, S. Emamzadeh, Z. Hivand, F. Shahriyari & Mina Mirazaei . ” PUMA-560 Robot Manipulator Position Sliding Mode Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate/Undergraduate Nonlinear Control, Robotics and MATLAB Courses” International Journal of Robotics and Automation, 3(3): 2012.
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