This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Study of Advanced Control Based on the RBF Neural Network Theory in Diesel Engine Speed Control
Journal Article
03-13-01-0005
ISSN: 1946-3936, e-ISSN: 1946-3944
Sector:
Topic:
Citation:
Zhao, G., Long, Y., Ding, S., Yang, L. et al., "Study of Advanced Control Based on the RBF Neural Network Theory in Diesel Engine Speed Control," SAE Int. J. Engines 13(1):63-75, 2020, https://doi.org/10.4271/03-13-01-0005.
Language:
English
References
- Kovalenko , O. , Liu , D. , and Javaherian , H. Neural Network Modeling and Adaptive Critic Control of Automotive Fuel Injection Systems 2004 IEEE International Symposium on Intelligent Control 368 373 2004 10.1109/ISIC.2004.1387711
- Mohamed , F.A. and Koivo , H.N. Diesel Engine Systems with Genetic Algorithm Self Tuning PID Controller 2006 IEEE International Conference on Future Power Systems 1 5 2006 10.1109/FPS.2005.204326
- Mcgowan , D.J. , Morrow , D.J. , and Fox , B. Multiple Input Governor Control for a Diesel Generating Set IEEE Technol. Energy Conver. 23 3 851 859 2008 10.1109/TEC.2008.918623
- Zhang , Y.F. , Li , S.J. , Lu , G. et al. A Fuzzy Self-Tuning PID Control System of Adjustable Speed Diesel Generator 2012 IEEE International Conference on Systems and Informatics 619 622 2012 10.1109/ICSAI.2012.6223073
- Hu , S. , Wang , H.C. , Yang , H.C. et al. Performance Improvement of a Diesel Engine Speed Controller Based on BP-PID Neural Network J. Harbin Eng. Univ. 36 12 1590 1595 2015 10.11990/jheu.201411056
- Chen , A.L. Speed Regulator of Diesel-Generator Based on Model Free Adaptive Control 2010 IEEE Second WRI Global Congress on Intelligent Systems 193 196 2010 10.1109/GCIS.2010.257
- Shi , Y. , Zhang , L.Y. , Sun , J. et al. Research on the Speed of Diesel Engine Based on Improved BP Neural Network Controller Appl. Mech. Mater. 281 1 105 111 2013 10.4028/www.scientific.net/AMM.281.105
- Shi , Y. , Qi , Z.D. , Sun , J. et al. Research on the Control of Rack Position Actuator and Marine Diesel Engine Speed Based on BP Neural Network Chinese Intern. Combust. Eng. Eng. 34 4 42 47 2013 10.13949/j.cnki.nrjgc.2013.04.004
- Wei , X. , Zhou , X.L. , Feng , J. et al. Control Strategy Study of Electron-Controlled Throttle for Diesel Engine Based on Intelligent Filtering Chinese Intern. Combust. Eng. Eng. 35 5 77 81 2014 10.13949/j.cnki.nrjgc.2014.05.015
- Ji , Z.M. , Xie , X. , Sun , J.Q. et al. Rail Pressure Control of Common Rail Diesel Engine Based on RBF Neural Network Adaptive PID Controller 2011 IEEE International Conference on Electronic &Mechanical Engineering and Information Technology 1122 1125 2011 10.1109/EMEIT.2011.6023292
- Song , E.Z. , Wang , Y.Y. , Ding , S.L. et al. An Application of RBF Neural Network Theory in Diesel Engine Control J. Harbin Eng. Univ. 39 5 908 914 2018 10.11990/jheu.201704001
- Mohammed , N.F. , Song , E.Z. , Ma , X.Z. et al. D6114 Diesel Engine Speed Control: A Case between PID Controller and Fuzzy Logic Controller 2014 IEEE International Conference on Mechatronics and Automation 275 279 2014 10.1109/ICMA.2014.6885708
- Shi , Y. and Song , E.Z. System Identification and Adaptive Speed Governing Control Simulation of Marine Diesel Engine J. Syst. Simul. 26 5 1078 1083 2014 10.16182/j.cnki.joss.2014.05.012
- Han , S. , Yang , Y. , and Liu , Y. The Comparison of BP Network and RBF Network in Wind Power Prediction Application 2007 IEEE Second International Conference on Bio-Inspired Computing: Theories and Applications 173 176 2007 10.1109/BICTA.2007.4806444
- Song , Q. , Meng , G.J. , Zhu , M.Q. et al. Comparison between BP and RBF Neural Network Pattern Recognition Process Applied in the Droplet Analyzer Applied Mechanics and Materials 543 2333 2336 2014 10.4028/AMM.543-547.2333
- Johansen , T.A. , Egeland , O. , Johannessen , E.A. et al. Free-Piston Diesel Engine Timing and Control-Toward Electronic Cam-and Crankshaft IEEE Trans. Control Syst. Technol. 10 2 177 190 2002 10.1109/87.987063
- Ghobadian , B. , Rahimi , H. , Nikbakht , A.M. et al. Diesel Engine Performance and Exhaust Emission Analysis Using Waste Cooking Biodiesel Fuel with an Artificial Neural Network Renew. Energy 34 4 976 982 2009 10.1016/j.renene.2008.08.008
- Mallapragada , V. , Erol , D. , and Sarkar , N. A New Method of Force Control for Unknown Environments Int. J. Adv. Robot. Syst. 4 3 313 322 2007 10.1109/IROS.2006.282089
- Girosi , F. and Poggio , T. Networks and the Best Approximation Property Biological Cybernetics 63 3 169 176 1990