Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine

Full Text (PDF, 269KB), PP.44-51

Views: 0 Downloads: 0

Author(s)

Farzin Piltan 1,* Marzieh kamgari 1 Saeed Zare 1 Fatemeh ShahryarZadeh 1 Mohammad Mansoorzadeh 1

1. Industrial Electrical and Electronic Engineering SanatkadeheSabzePasargad. 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/ijieeb.2013.02.07

Received: 12 Apr. 2013 / Revised: 2 May 2013 / Accepted: 25 Jun. 2013 / Published: 8 Aug. 2013

Index Terms

PD plus mass of air, model reference fuzzy logic theory, fuzzy PD plus mass of air method, IC engine, stability and robustness

Abstract

In this research, model reference fuzzy based control is presented as robust controls for IC engine. The objective of the study is to design controls for IC engines without the knowledge of the boundary of uncertainties and dynamic information by using fuzzy model reference PD plus mass of air while improve the robustness of the PD plus mass of air control. A PD plus mass of air provides for eliminate the mass of air and ultimate accuracy in the presence of the bounded disturbance/uncertainties, although this methods also causes some oscillation. The fuzzy PD plus mass of air is proposed as a solution to the problems crated by unstability. This method has a good performance in presence of uncertainty.

Cite This Paper

FarzinPiltan, MarziehKamgari, SaeedZare, FatemehShahryarZadeh, Mohammad Mansoorzadeh, "Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.5, no.2, pp.44-51, 2013. DOI:10.5815/ijieeb.2013.02.07

Reference

[1]Heywood, J., “Internal Combustion Engine Fundamentals”, McGraw-Hill, New York, 1988.

[2]J. G. Rivard, "Closed-loop Electronic Fuel Injection Control of the IC Engine," in Society of Automotive Engineers, 1973.

[3]J. F. Cassidy, et al, "On the Design of Electronic Automotive Engine Controls using linear Quadratic Control Theory," IEEE Trans on Control Systems, vol. AC-25, October 1980. DOI:10.1109/TAC.1980.1102457

[4]W. E. Powers, "Applications of Optimal Control and Kalman Filtering to Automotive Systems," International Journal of Vehicle Design, vol. Applications of Control Theory in the Automotive Industry, 1983.

[5]N. F. Benninger, et al, "Requirements and Perfomance of Engine Management Systems under Transient Conditions," in Society of Automotive Engineers, 1991.

[6]N. F. Benninger, et al, "Requirements and Perfomance of Engine Management Systems under Transient Conditions," in Society of Automotive Engineers, 1991. 

[7]C. H. Onder, et al, "Model-Based Multivariable Speed and Air-to-Fuel Ratio Control of an SI Engine," in Society of Automotive Engineers, 1993.

[8]S. B. Cho, et al, "An Observer-based Controller Design Method for Automotive Fuel-Injection Systems," in American Controls Conference, 1993, pp. 2567-2571.

[9]T. Kume, et al, "Combustion Technologies for Direct Injection SI Engine," in Society of Automotive Engineers, 1996. DOI:http://dx.doi.org/10.1016/S0389-4304(96)80489-9

[10]V. Utkin, "Variable structure systems with sliding modes," Automatic Control, IEEE Transactions on, No. 2,vol. 22, pp. 212-222, 2002.DOI:10.1109/TAC.1977.1101446

[11]R. A. DeCarlo, S. H. Zak and G. P. Matthews, "Variable structure control of nonlinear multivariable systems: a tutorial," Proceedings of the IEEE, No. 3,vol. 76, pp. 212-232, 2002.DOI:10.1109/5.4400

[12]K. D. Young, V. Utkin and U. Ozguner, "A control engineer's guide to sliding mode control," IEEE conference proceeding, 2002, pp. 1-14.DOI:10.1109/VSS.1996.578521

[13]O. Kaynak, "Guest editorial special section on computationally intelligent methodologies and sliding-mode control," IEEE Transactions on Industrial Electronics, No. 1, vol. 48, pp. 2-3, 2001.

[14]P. Kachroo and M. Tomizuka, "Chattering reduction and error convergence in the sliding-mode control of a class of nonlinear systems," Automatic Control, IEEE Transactions on, No. 7, vol. 41, pp. 1063-1068, 2002.

[15]J. Moura and N. Olgac, "A comparative study on simulations vs. experiments of SMCPE," IEEE conference proceeding, 2002, pp. 996-1000.

[16]Farzin Piltan , N. Sulaiman, Zahra Tajpaykar, Payman Ferdosali, Mehdi Rashidi, “Design Artificial Nonlinear Robust Controller Based on CTLC and FSMC with Tunable Gain,” International Journal of Robotic and Automation, 2 (3): 205-220, 2011.

[17]Farzin Piltan, A. R. Salehi and Nasri B Sulaiman.,” Design artificial robust control of second order system based on adaptive fuzzy gain scheduling,” world applied science journal (WASJ), 13 (5): 1085-1092, 2011.

[18]Farzin Piltan, Nasri Sulaiman, M. H. Marhaban and R. Ramli, “Design On-Line Tunable Gain Artificial Nonlinear Controller,” Journal of Advances In Computer Research, 2 (4): 75-83, 2011.

[19]Farzin Piltan, N. Sulaiman, Payman Ferdosali, Iraj Assadi Talooki, “ Design Model Free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine,” International Journal of Engineering, 5 (4):302-312, 2011.

[20]Farzin Piltan, N. Sulaiman, Iraj Asadi Talooki, Payman Ferdosali, “Control of IC Engine: Design a Novel MIMO Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control , International Journal of Robotics and Automation, 2 (5):360-380, 2011.

[21]Farzin Piltan, N. Sulaiman, Payman Ferdosali, Mehdi Rashidi, Zahra Tajpeikar, “Adaptive MIMO Fuzzy Compensate Fuzzy Sliding Mode Algorithm: Applied to Second Order Nonlinear System,” International Journal of Engineering, 5 (5): 380-398, 2011. 

[22]Farzin Piltan, N. Sulaiman, Hajar Nasiri, Sadeq Allahdadi, Mohammad A. Bairami, “Novel Robot Manipulator Adaptive Artificial Control: Design a Novel SISO Adaptive Fuzzy Sliding Algorithm Inverse Dynamic Like Method,” International Journal of Engineering, 5 (5): 399-418, 2011.

[23]Farzin Piltan, Reza Bayat, Saleh Mehrara, Javad Meigolinejad“GDO Artificial Intelligence-Based Switching PID Baseline Feedback Linearization Method: Controlled PUMA Workspace,” International Journal of Information Engineering and Electronic Business (IJIEEB), 4 (5):17-26, 2012.

[24]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.

[25]Farzin Piltan, Amin Jalali, N. Sulaiman, Atefeh Gavahian, Sobhan Siamak, “Novel Artificial Control of Nonlinear Uncertain System: Design a Novel Modified PSO SISO Lyapunov Based Fuzzy Sliding Mode Algorithm ,” International Journal of Robotics and Automation, 2 (5): 298-316, 2011.

[26]Farzin Piltan,N. Sulaiman, S.Soltani, M. H. Marhaban&R. Ramli, “An Adaptive sliding surface slope adjustment in PD Sliding Mode Fuzzy Control for Robot Manipulator,” International Journal of Control and Automation , 4 (3): 65-76, 2011. 

[27]Farzin Piltan, N. Sulaiman, Amin Jalali, Sobhan Siamak, and Iman Nazari, “Control of Robot Manipulator: Design a Novel Tuning MIMO Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control ,” International Journal of Control and Automation, 4 (4):91-110, 2011.

[28]Farzin Piltan,N. Sulaiman and I.AsadiTalooki, “Evolutionary Design on-line Sliding Fuzzy Gain Scheduling Sliding Mode Algorithm: Applied to Internal Combustion Engine,” International Journal of Engineering Science and Technology, 3 (10):7301-7308, 2011.

[29]Farzin Piltan, Nasri B Sulaiman, Iraj Asadi Talooki and Payman Ferdosali.,” Designing On-Line Tunable Gain Fuzzy Sliding Mode Controller Using Sliding Mode Fuzzy Algorithm: Applied to Internal Combustion Engine,” world applied science journal (WASJ), 15 (3): 422-428, 2011. 

[30]Farzin Piltan, H. Rezaie, B. Boroomand, Arman Jahed,” Design robust back stepping online tuning feedback linearization control applied to IC engine,”International Journal of Advance Science and Technology, 42: 183-204, 2012.

[31]Farzin Piltan, Bamdad Boroomand, Arman Jahed, Hossain Rezaie " Performance-Based Adaptive Gradient Descent Optimal Coefficient Fuzzy Sliding Mode Methodology". International Journal of Intelligent Systems and Applications (IJISA), 4 (11), 40-52, 2012.