Engine clutch engagement control for a parallel hybrid electric vehicle using sliding mode control scheme

References

• Brys, T., K. V. Moffaert, K. V. Vaerenbergh, and A. Nowe. 2013. “On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch.” International Conference on Machine Learning and Applications 1: 258–263.
   Google Scholar
• Chung, C. Y., and C. L. Lin. 1999. “A Transformed Lure Problem for Sliding Mode Control and Chattering Reduction.” IEEE Transactions on Automatic Control 44 (3): 563–568.10.1109/9.751351
   Web of Science ®Google Scholar
• Depraetere, B., G. Pinte, and J. Swevers. 2011. “A Reference Free Iterative Learning Strategy for Wet Clutch Control.” American Control Conference 2442–2447.
   Google Scholar
• Garofalo, F., L. Glielmo, L. Iannelli, and F. Vasca. 2001. “Smooth Engagement for Automotive Dry Clutch.” IEEE Conference on Decision and Control 1: 529–534.
   Google Scholar
• Glielmo, L., and F. Vasca. 2000. “Engagement Control for Automotive Dry Clutch.” American Control Conference 2: 1016–1017.
   Google Scholar
• Horn, J., J. Bamberger, P. Michau, and S. Pindl. 2003. “Flatness-based Clutch Control for Automated Manual Transmissions.” Control Engineering Practice 11 (12): 353–1359.
   Web of Science ®Google Scholar
• Izadian, A., L. A. Hornak, and P. Famouri. 2009. “Structure Rotation and Pull-in Voltage Control of MEMS Lateral Comb Resonators under Fault Conditions.” IEEE Transactions on Control Systems Technology 17 (1): 51–59.10.1109/TCST.2008.922568
   Web of Science ®Google Scholar
• Karnopp, D. 1985. “Computer Simulation of Stick-slip Friction in Mechanical Dynamic Systems.” Journal of Dynamic Systems Measurement and Control 107 (1): 100–103.10.1115/1.3140698
   Web of Science ®Google Scholar
• Kayacan, E., and O. Kaynak. 2011. “Sliding Mode Control Theory-based Algorithm for Online Learning in Type-2 Fuzzy Neural Networks: Application to Velocity Control of an Electro Hydraulic Servo System.” International Journal of Adaptive Control and Signal Processing 26 (7): 645–659.
   Web of Science ®Google Scholar
• Kayacan, E., O. Cigdem, and O. Kaynak. 2012. “Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and Its Experimental Evaluation.” IEEE Transactions on Industrial Electronics 59 (9): 3510–3520.10.1109/TIE.2011.2182017
   Web of Science ®Google Scholar
• Li, S., C. Wu, and Z. Sun. 2016. “Design and Implementation of Clutch Control for Automotive Transmissions Using Terminal Sliding Mode Control and Uncertainty Observer.” IEEE Transactions on Vehicular Technology 65 (4): 1890–1898.10.1109/TVT.2015.2433178
   Web of Science ®Google Scholar
• Lu, Z., Z. Tang, H. Li, and Z. Pei. 2011. “Fuzzy PID Control of Intelligent Pump.” International Conference on Fluid Power and Mechatronics 803–808.
   Google Scholar
• Meng, F., and H. Zhang. 2016. “Influence Oil Temperature and Pressure on Clutch Control for Clutch Actuator System.” Chinese Control Conference 9021–9025.
   Google Scholar
• Oh, J. J., and S. B. Choi. 2014. “Design of Hybrid Position/Force Engagement Controller for Dry Dual Clutch Transmission without Diaphragm Spring.” American Control Conference-Acc 2618–2623.
   Google Scholar
• Oliveira, T. R., L. Hsu, and A. J. Peixoto. 2011. “Output-feedback Global Tracking for Unknown Control Direction Plants with Application to Extremum-Seeking Control.” Automatica 47 (9): 2029–2038.10.1016/j.automatica.2011.05.021
   Web of Science ®Google Scholar
• Pei, Runsen, Z. Yuan, and H. Jiang. 2011. “Study on Flow/Pressure Simulation Subsystem for Aircraft Hydraulic Energy System Based on Fuzzy-PID Control.” International Conference on Electronic Measurement and Instruments IEEE: 181–185.
   Google Scholar
• Pisaturo, M., M. Cirrincione, and A. Senatore. 2015. “Multiple Constrained MPC Design for Automotive Dry Clutch Engagement.” IEEE/ASME Transactions on Mechatronics 20 (1): 469–480.10.1109/TMECH.2014.2335894
   Web of Science ®Google Scholar
• Seo, H., H. Lee, W. Lim, and S. W. Cha. 2013. “Engine Clutch Pressure Command Control for a Parallel Hybrid Vehicle at Launching When Traction Motor Failed.” Electric Vehicle Symposium and Exhibition 1–5.
   Google Scholar
• Song, X., and Z. Sun. 2012. “Pressure-based Clutch Control for Automotive Transmissions Using a Sliding-mode Controller.” IEEE/ASME Transactions on Mechatronics 17 (3): 534–546.10.1109/TMECH.2011.2106507
   Web of Science ®Google Scholar
• Song, X., M. A. M. Zulkefli, and Z. Sun. 2010. “Automotive Transmission Clutch Fill Optimal Control: An Experimental Investigation.” American Control Conference 58 (8): 2748–2753.
   Google Scholar
• Song, X., C. S. Wu, and Z. Sun. 2012. “Design, Modeling, and Control of a Novel Automotive Transmission Clutch Actuation System.” IEEE/ASME Transactions on Mechatronics 17 (3): 582–587.10.1109/TMECH.2011.2176499
   Web of Science ®Google Scholar
• Van Der Heijden, A. C., A. F. A. Serrarens, M. K. Camlibel, and H. Nijmeijer. 2007. “Hybrid Optimal Control of Dry Clutch Engagement.” International Journal of Control 80 (11): 1717–1728.10.1080/00207170701473995
   Web of Science ®Google Scholar
• Van Vaerenbergh, K., A. Rodriguez, M. Gagliolo, and P. Vrancx. 2012. “Improving Wet Clutch Engagement with Reinforcement Learning.” International Joint Conference on Neural Networks 20: 1–8.
   Google Scholar
• Wang, H., Z. Man, H. Kong, and W. Shen. 2012. “Terminal Sliding Mode Control for Steer-by-Wire System in Electric Vehicles.” Industrial Electronics and Applications 919–924.
   Google Scholar
• Wang, H., H. Kong, Z. Man, and D. M. Tuan. 2014. “Sliding Mode Control for Steer-by-Wire Systems with AC Motors in Road Vehicles.” IEEE Transactions on Industrial Electronics 61 (3): 1596–1611.10.1109/TIE.2013.2258296
   Web of Science ®Google Scholar
• Wang, H., Z. Man, W. Shen, and Z. Cao. 2014. “Robust Control for Steer-by-Wire Systems with Partially Known Dynamics.” IEEE Transactions on Industrial Informatics 10 (4): 2003–2015.10.1109/TII.2014.2338273
   Web of Science ®Google Scholar
• Wang, X., L. Li, and C. Yang. 2016. “Hierarchical Control of Dry Clutch for Engine-Start Process in a Parallel Hybrid Electric Vehicle.” IEEE Transactions on Transportation Electrification 99 (99): 1–13.
   Google Scholar
• Wu, S., E. Zhu, H. Ren, and Z. Liu. 2009. “Study on Control Strategy of Clutch Engagement Based on Fuzzy Control during Vehicle Starting.” Computer Science and Information Engineering 5: 82–86.
   Google Scholar
• Xie, W. F. 2007. “Sliding-Mode-Observer-based Adaptive Control for Servo Actuator with Friction.” IEEE Transactions on Industrial Electronics 54 (3): 1517–1527.10.1109/TIE.2007.894718
   Web of Science ®Google Scholar
• Yang, L., S. Yang, and R. Burton. 2009. “Modeling and Robust Discrete-time Sliding-mode Control Design for a Fluid Power Electrohydraulic Actuator (EHA) System.” Mechatronics IEEE/ASME Transactions on 18 (1): 1–10.
   Google Scholar
• Yang, B., Z. Pei, and Z. Tang. 2011. “Fuzzy PID Control of Stewart Platform.” International Conference on Fluid Power and Mechatronics IEEE 763–768.
   Google Scholar
• Yu, X., and O. Kaynak. 2009. “Sliding-mode Control with Soft Computing: A Survey.” IEEE Transactions on Industrial Electronics 56 (9): 3275–3285.
   Web of Science ®Google Scholar
• Zhihong, M, and X. H. Yu. 1997. “Terminal Sliding Mode Control of MIMO Linear Systems.” IEEE Transactions on Circuits and Systems/Fundamental Theory and Applications 44 (11): 1065–1070.10.1109/81.641769
   Google Scholar
• Zhihong, M, H. R. Wu and M. Palaniswami. 1998. “An adaptive tracking controller using neural networks for a class of nonlinear systems.” IEEE Transactions on Neural Networks 9 (5): 947–955.10.1109/72.712168
   PubMedGoogle Scholar