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International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.5, No.6, May. 2013

Evaluation Performance of IC Engine: Linear Tunable Gain Computed Torque Controller vs. Sliding Mode Controller

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Author(s)

Shahnaz Tayebi Haghighi, Samira Soltani, Farzin Piltan, Marzieh kamgari, Saeed Zare

Index Terms

Internal Combustion Engine, Sliding Mode Controller, Computed Torque Controller, Linear Error-Based Sliding Mode Controller, Linear Error Based Computed Torque Controller

Abstract

Design a nonlinear controller for second order nonlinear uncertain dynamical systems (e.g., internal combustion engine) is one of the most important challenging works. This paper focuses on the comparative study between two important nonlinear controllers namely; computed torque controller (CTC) and sliding mode controller (SMC) and applied to internal combustion (IC) engine in presence of uncertainties. In order to provide high performance nonlinear methodology, sliding mode controller and computed torque controller are selected. Pure SMC and CTC can be used to control of partly known nonlinear dynamic parameters of IC engine. Pure sliding mode controller and computed torque controller have difficulty in handling unstructured model uncertainties. To solve this problem applied linear error-based tuning method to sliding mode controller and computed torque controller for adjusting the sliding surface gain (λ ) and linear inner loop gain (K). Since the sliding surface gain (λ) and linear inner loop gain (K) are adjusted by linear error-based tuning method. In this research new λ and new K are obtained by the previous λ and K multiple gains updating factor(α). The results demonstrate that the error-based linear SMC and CTC are model-based controllers which works well in certain and uncertain system. These controllers have acceptable performance in presence of uncertainty.

Cite This Paper

Shahnaz Tayebi Haghighi, Samira Soltani, Farzin Piltan, Marzieh kamgari, Saeed Zare,"Evaluation Performance of IC Engine: Linear Tunable Gain Computed Torque Controller vs. Sliding Mode Controller", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.6, pp.78-88, 2013.DOI: 10.5815/ijisa.2013.06.10

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.

[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]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.

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

[8]T. Kume, et al, "Combustion Technologies for Direct Injection SI Engine," in Society of Automotive Engineers, 1996.

[9]Frank L.Lewis. Nonlinear dynamics and control, Handbook, pages 51-70. CRC press, 1999.

[10]Okyak Kaynak, “Guest Editorial Special Section on Computationally Intelligent Methodologies and Sliding-Mode Control”, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 48, NO. 1, 2001

[11]F. Piltan, et al., "Artificial Control of Nonlinear Second Order Systems Based on AFGSMC," Australian Journal of Basic and Applied Sciences, 5(6), pp. 509-522, 2011.

[12]Piltan, F., et al., 2011. Design sliding mode controller for robot manipulator with artificial tunable gain. Canaidian Journal of pure and applied science, 5 (2): 1573-1579.

[13]Piltan, F., et al., 2011. Design Artificial Nonlinear Robust Controller Based on CTLC and FSMC with Tunable Gain, International Journal of Robotic and Automation, 2 (3): 205-220.

[14]Piltan, F., et al., 2011. Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule Base, International Journal of Robotic and Automation, 2 (3): 146-156.

[15]Piltan, F., et al., 2011. Design of FPGA based sliding mode controller for robot manipulator, International Journal of Robotic and Automation, 2 (3): 183-204.

[16]Piltan, F., et al., 2011. A Model Free Robust Sliding Surface Slope Adjustment in Sliding Mode Control for Robot Manipulator, World Applied Science Journal, 12 (12): 2330-2336.

[17]Piltan, F., et al., 2011. Design Adaptive Fuzzy Robust Controllers for Robot Manipulator, World Applied Science Journal, 12 (12): 2317-2329.

[18]Slotine, J.J. and S. Sastry, 1983. Tracking control of non-linear systems using sliding surfaces, with application to robot manipulators. International Journal of Control, 38: 465-492.

[19]M. Ertugrul and O. Kaynak, "Neuro sliding mode control of robotic manipulators," Mechatronics, vol. 10, pp. 239-263, 2000.

[20]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, vol. 41, pp. 1063-1068, 2002.

[21]H. Elmali and N. Olgac, "Implementation of sliding mode control with perturbation estimation (SMCPE)," Control Systems Technology, IEEE Transactions on, vol. 4, pp. 79-85, 2002.

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

[23]B. Wu, et al., "An integral variable structure controller with fuzzy tuning design for electro-hydraulic driving Stewart platform," 2006, pp. 5-945. 

[24]R. J. Wai, et al., "Implementation of artificial intelligent control in single-link flexible robot arm," 2003, pp. 1270-1275.

[25]R. J. Wai and M. C. Lee, "Intelligent optimal control of single-link flexible robot arm," Industrial Electronics, IEEE Transactions on, vol. 51, pp. 201-220, 2004.

[26]M. B. Menhaj and M. Rouhani, "A novel neuro-based model reference adaptive control for a two link robot arm," 2002, pp. 47-52.

[27]Y. C. Hsu and H. A. Malki, "Fuzzy variable structure control for MIMO systems," 2002, pp. 280-285.

[28]Y. C. Hsueh, et al., "Self-tuning sliding mode controller design for a class of nonlinear control systems," 2009, pp. 2337-2342.

[29]H. Temeltas, "A fuzzy adaptation technique for sliding mode controllers," 2002, pp. 110-115.

[30]R. Palm, "Sliding mode fuzzy control," 2002, pp. 519-526.

[31]C. G. Lhee, et al., "Sliding mode-like fuzzy logic control with self-tuning the dead zone parameters," Fuzzy Systems, IEEE Transactions on, vol. 9, pp. 343-348, 2002.

[32]Lhee. C. G., J. S. Park, H. S. Ahn, and D. H. Kim, "Sliding-Like Fuzzy Logic Control with Self-tuning the Dead Zone Parameters," IEEE International fuzzy systems conference proceeding, 1999,pp.544-549.

[33]X. Zhang, et al., "Adaptive sliding mode-like fuzzy logic control for high order nonlinear systems," pp. 788-792.

[34]F. Y. Hsu and L. C. Fu, "Nonlinear control of robot manipulators using adaptive fuzzy sliding mode control," 2002, pp. 156-161.

[35]Lee, B., “Methodology for the Static and Dynamic Model Based Engine Calibration and Optimization” Ph.D. Dissertation, The Ohio State University, 2005.

[36]Dawson, J., “An experimental and Computational Study of Internal Combustion Engine Modeling for Controls Oriented Research” Ph.D. Dissertation, The Ohio State University, 2005.

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

[38]Piltan, F., et al., “Design Model-free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine,” International Journal of Engineering, 5 (4): 302-312, 2011.

[39]Piltan, F., et al., “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), 2011.