$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Implementation and Development of a Trajectory Tracking Control System for Intelligent Vehicle

Journal of intelligent & robotic systems, v.94 no.1, 2019년, pp.251 - 264  

Cai, Junyu ,  Jiang, Haobin ,  Chen, Long ,  Liu, Jun ,  Cai, Yingfeng ,  Wang, Junyan

초록이 없습니다.

참고문헌 (47)

  1. J. Autom. Eng. Y Sun 36 22 2014 Sun, Y., Xiong, G.M., Chen, H.Y.: Evaluation of the intelligent behaviors of unmanned ground vehicles based on fuzzy-EAHP scheme. J. Autom. Eng. 36, 22-27 (2014) 

  2. IEICE Trans. Inf. Syst. S Sai 38 2 176 2013 10.1587/transinf.E96.D.176 Sai, S., Altintas, O., Kenney, J., et al.: Current and future ITS. IEICE Trans. Inf. Syst. 38(2), 176-183 (2013) 

  3. Ingegneria Ferroviaria MGH Bell 67.5 447 2012 Bell, M.G.H., Kaparias, I., Nocera, S., et al.: Presence of urban ITS architectures in Europe: results of a recent survey. Ingegneria Ferroviaria 67.5, 447-467 (2012) 

  4. Control Theory Appl. Iet Z Zuo 8.13 1163 2014 10.1049/iet-cta.2013.0949 Zuo, Z., Wang, C.: Adaptive trajectory tracking control of output constrained multi-rotors systems. Control Theory Appl. Iet 8.13, 1163-1174 (2014) 

  5. Automatica R Xu 44.1 233 2008 10.1016/j.automatica.2007.05.014 Xu, R., Özgüner, Ü: Brief paper: sliding mode control of a class of underactuated systems. Automatica 44.1, 233-241 (2008) 

  6. J. Guid. Control. Dyn. J Leitner 68.2 251 2012 Leitner, J., Calise, A., Prasad, J.V.R.: Analysis of adaptive neural networks for helicopter flight control. J. Guid. Control. Dyn. 68.2, 251-261 (2012) 

  7. Auton. Robot. AP Schoellig 33 103 2012 10.1007/s10514-012-9283-2 Schoellig, A.P., Mueller, F.L., D’Andrea, R.: Optimization-based iterative learning for precise quadrocopter trajectory tracking. Auton. Robot. 33, 103-127 (2012) 

  8. IEEE Trans. Autom. Control K Graichen 55 2576 2010 10.1109/TAC.2010.2057912 Graichen, K., Kugi, A.: Stability and incremental improvement of suboptimal MPC without terminal constraints. IEEE Trans. Autom. Control 55, 2576-2580 (2010) 

  9. 10.1115/DSCC2013-4021 Liu, J., Jayakumar, P., Overholt, J.L., et al.: The role of model fidelity in model predictive control based hazard avoidance in unmanned ground vehicles using LIDAR sensors. Dynamic Systems and Control Conference, pp. V003T46A005 (2013) 

  10. IEEE Trans. Control Syst. Technol. P Falcone 15 566 2007 10.1109/TCST.2007.894653 Falcone, P., Borrelli, F., Asgari, J., et al.: Predictive active steering control for autonomous vehicle systems. IEEE Trans. Control Syst. Technol. 15, 566-580 (2007) 

  11. J. Mech. Sci. Technol. F Yakub 30 3835 2016 10.1007/s12206-016-0747-8 Yakub, F., Lee, S., Mori, Y.: Comparative study of MPC and LQC with disturbance rejection control for heavy vehicle rollover prevention in an inclement environment. J. Mech. Sci. Technol. 30, 3835-3845 (2016) 

  12. 10.2514/6.1972-881 Deets, D., Szalai, K.: Design and flight experience with a digital fly-by-wire control system using Apollo guidance system hardware on an F-8 aircraft. Aiaa Journal (1972) 

  13. J. Cell Sci. AA Janbakhsh 114 3137 2010 Janbakhsh, A.A., Kazemi, R.: A new approach for simultaneous vehicle handling and path tracking improvement through SBW system. J. Cell Sci. 114, 3137-45 (2010) 

  14. Auguet, T., Sebe, M.: Vehicle steering control without mechanical connection between the steering wheel and the steered wheels. US US8036793 (2011) 

  15. IEEE Trans. Veh. Technol. AE Cetin 59 75 2010 10.1109/TVT.2009.2033074 Cetin, A.E., Adli, M.A., Barkana, D.E., et al.: Implementation and development of an adaptive steering-control system. IEEE Trans. Veh. Technol. 59, 75-83 (2010) 

  16. Nonlinear Dyn. H Wang 85 1331 2016 10.1007/s11071-016-2763-8 Wang, H., Liu, L., He, P., et al.: Robust adaptive position control of automotive electronic throttle valve using PID-type sliding mode technique. Nonlinear Dyn. 85, 1331-1344 (2016) 

  17. IEEE Trans. Ind. Electron. L Li 99 1 2016 10.1109/TIE.2016.2547359 Li, L., Lu, Y., Wang, R., et al.: A 3-dimentional dynamics control framework of vehicle lateral stability and rollover prevention via active braking with MPC. IEEE Trans. Ind. Electron. 99, 1-12 (2016) 

  18. A preliminary study on the effects of roll dynamics in predictive vehicle stability control G Palmieri 16 5354 2009 Palmieri, G., Falcone, P., Tseng, H.E., et al.: A preliminary study on the effects of roll dynamics in predictive vehicle stability control 16, 5354-5359 (2009) 

  19. Liao, C., Wu, X., Huang, H.: LMI-based sliding mode anti-rollover control algorithm of vehicle active suspension. Sensors Transd., 1726-5479 (2014) 

  20. Solmaz, S., Corless, M., Shorten, R.: A methodology for the design of robust rollover prevention controllers for automotive vehicles with active steering. In: IEEE Conference on Decision and Control, 2006, pp. 1739-1744. IEEE (2007) 

  21. J Prestonthomas 1990 A Feasibility Study of a Rollover Warning Device for Heavy Trucks Prestonthomas, J., Woodrooffe, J.: A Feasibility Study of a Rollover Warning Device for Heavy Trucks. Transport Canada Publication, Canada (1990) 

  22. Veh. Syst. Dyn. D Hyun 39 6 401 2003 10.1076/vesd.39.6.401.14596 Hyun, D., Langari, R.: Modeling to predict rollover threat of tractor-semitrailers. Veh. Syst. Dyn. 39(6), 401-414 (2003) 

  23. Kong, X.: Research of rollover warning system for heavy vehicles based on hidden Markov Model. Hebei University of Engineering (2013) 

  24. Math. Pract. Theory L Xiaoguo 38 16 109 2008 Xiaoguo, L., Wang, Z., Qian, F., et al.: Necessary conditions and application of establishing automial regression model. Math. Pract. Theory 38(16), 109-115 (2008) 

  25. Comput. Eng. J Liu 37 13 202 2011 Liu, J., Wang, S., He, G.G., et al.: On-line prediction system of vehicle attitude angle based on auto-regressive model. Comput. Eng. 37(13), 202-204 (2011) 

  26. IEEE Trans. Signal Process. S Lu 51 51 3020 2003 Lu, S., Chon, K.H.: Nonlinear autoregressive and nonlinear autoregressive moving average model parameter estimation by minimizing hypersurface distance. IEEE Trans. Signal Process. 51(51), 3020-3026 (2003) 

  27. IEEE Trans. Control Syst. Technol. B Muller 15 3 541 2007 10.1109/TCST.2006.890289 Muller, B., Deutscher, J., Grodde, S.: Continuous curvature trajectory design and feedforward control for parking a car. IEEE Trans. Control Syst. Technol. 15(3), 541-553 (2007) 

  28. Med. J. Aust. PJ Treacy 176 6 260 2002 10.5694/j.1326-5377.2002.tb04403.x Treacy, P.J., Jones, K., Mansfield, C.: Flipped out of control: single-vehicle rollover accidents in the Northern Territory. Med. J. Aust. 176(6), 260-263 (2002) 

  29. Piyabongkarn, D., Yuan, Q., Lew, J.Y.: Method of identifying predictive lateral load transfer ratio for vehicle rollover prevention and warning systems: WO US7873454 (2011) 

  30. 10.1007/978-3-642-04898-2_110 Akaike, H.: Akaike’s information criterion. International Encyclopedia of Statistical Science, 25 (2011) 

  31. J. Pharmacokinet. Biopharma. K Yamaoka 6 2 165 1978 10.1007/BF01117450 Yamaoka, K., Nakagawa, T., Uno, T.: Application of Akaike’s information criterion (AIC) in the evaluation of linear pharmacokinetic equations. J. Pharmacokinet. Biopharma. 6(2), 165 (1978) 

  32. Singh, B., Reddy, A.H.N., Murthy, S.S.: Hybrid fuzzy logic proportional plus conventional integral-derivative controller for permanent magnet brushless DC motor. In: IEEE International Conference on Industrial Technology, vol. 1, pp. 185-191. IEEE (2000) 

  33. Veh. Syst. Dyn. BL Boada 43 10 753 2005 10.1080/00423110500128984 Boada, B.L., Boada, M.J.L., DãAz, V.: Fuzzy-logic applied to yaw moment control for vehicle stability. Veh. Syst. Dyn. 43(10), 753-770 (2005) 

  34. Electric Mach. Control J Zhicheng 7 3 248 2003 Zhicheng, J., Yanxia, S., Jianguo, J.: A novel fuzzy PI intelligent control method of BLDCM speed servo system. Electric Mach. Control 7(3), 248-254 (2003) 

  35. J. Franklin Inst. V Kumar 353 8 1713 2016 10.1016/j.jfranklin.2016.02.018 Kumar, V., Rana, K.P.S., Mishra, P.: Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop. J. Franklin Inst. 353(8), 1713-1741 (2016) 

  36. Guo, W., Wang, G., Yu, Q., et al.: Study on active steering control of vehicle based on adaptive fuzzy PI control. Agricultural Equipment & Vehicle Engineering (2015) 

  37. Mamdani, E.H., Gaines, B.R.: Mamdani Gaines: Fuzzy Reasoning and its Applications. Academic Press (1981) 

  38. NovAtel: Data Sheet. SPAN-CPT, February (2014) 

  39. Melexis, N.V.: Data Sheet MLX90316 (2007) 

  40. Zhou, H.S.: Steering-by-wire control strategy research based on BLDCM. Grad Thesis, Jiangsu University PRC (2014) 

  41. Mach. Des. Manuf. J Liu 6 143 2014 Liu, J., Zhou, H.S., Jia, L.X.: Steering-by-wire control strategy research for rollover warning. Mach. Des. Manuf. 6, 143-145 (2014) 

  42. Nat. Sci. J. Jilin Univ. Technol. Z Changfu 30 1 1 2000 Changfu, Z., Guo, K.: Objective evaluation index for handling and stability of vehicle. Nat. Sci. J. Jilin Univ. Technol. 30(1), 1-6 (2000) 

  43. Nat. Sci. J. Tongji Univ. (Nat. Sci.) X Lu 38 3 417 2010 Lu, X., Zhuoping, Y., Wei, J., et al.: Research on vehicle stability control of 4WD electric vehicle based on longitudinal force cintrol allocation. Nat. Sci. J. Tongji Univ. (Nat. Sci.) 38(3), 417-421 (2010) 

  44. Falcone, B.P., Tseng, H.E., Borrelli, F., et al.: MPC-based yaw and lateral stabilization via active front steering and braking. Vehicle System Dynamics (2010) 

  45. Vacuum ATV Zanten 28 12 429 1998 Zanten, A.T.V., Erhardt, R., Landesfeind, K., et al.: VDC systems development and perspective. Vacuum 28(12), 429 (1998) 

  46. Zanten, A.T.V., Erhardt, R., Bartels, H., et al.: Simulation for the development of the Bosch-VDC. In: Proceedings of the institute of natural sciences Nihon University, pp. 363-366 (1996) 

  47. Zhisheng, Y.: Automotive Theory. 5th edn. Machinery Industry Press (2009) 

관련 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로