메뉴 건너뛰기




Volumn 21, Issue 1, 2011, Pages 137-147

Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system

Author keywords

Direct adaptive control; Feedback linearization control; Neural networks; PID control; Ride comfort; Servo hydraulics; Suspension system

Indexed keywords

DIRECT ADAPTIVE CONTROL; FEEDBACK LINEARIZATION CONTROL; PID CONTROL; RIDE COMFORT; SERVO-HYDRAULICS; SUSPENSION SYSTEM;

EID: 79953212613     PISSN: 1641876X     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10006-011-0010-5     Document Type: Article
Times cited : (66)

References (59)
  • 1
    • 0036541667 scopus 로고    scopus 로고
    • Sliding mode neural network inference fuzzy logic control for active suspension system
    • Al-Holou, N., Lahdhiri, T., Joo, D. S., Weaver, J. and Al-Abbas, F. (2002). Sliding mode neural network inference fuzzy logic control for active suspension system, IEEE Transactions on Fuzzy Systems 10(2): 234-245.
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.2 , pp. 234-245
    • Al-Holou, N.1    Lahdhiri, T.2    Joo, D.S.3    Weaver, J.4    Al-Abbas, F.5
  • 2
    • 46249085680 scopus 로고    scopus 로고
    • A novel neuro-fuzzy controller to enhance the performance of vehicle semi-active suspension systems
    • Biglarbegian, M., Melek, W. and Golnaraghi, F. (2008). A novel neuro-fuzzy controller to enhance the performance of vehicle semi-active suspension systems, Vehicle System Dynamics 46(8): 691-711.
    • (2008) Vehicle System Dynamics , vol.46 , Issue.8 , pp. 691-711
    • Biglarbegian, M.1    Melek, W.2    Golnaraghi, F.3
  • 3
    • 34547535324 scopus 로고    scopus 로고
    • Fuzzy feedback linearizing controller and its equivalence with the fuzzy nonlinear internal model control structure
    • DOI 10.2478/v10006-007-0021-4, PII N22538172H80620H
    • Boukezzoula, R., Galichet, S. and Foulloy, L. (2007). Fuzzy feedback linearizing controller and its equivalence with fuzzy nonlinear internal model control structure, International Journal of Applied Mathematics and Computer Science 17(2): 233-248, DOI: 10.2478/v10006-007-0021-4. (Pubitemid 47182039)
    • (2007) International Journal of Applied Mathematics and Computer Science , vol.17 , Issue.2 , pp. 233-248
    • Boukezzoula, R.1    Galichet, S.2    Foulloy, L.3
  • 6
    • 50649111161 scopus 로고    scopus 로고
    • State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies
    • Cao, J., Liu, H., Li, P. and Brown, D. (2008). State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies, IEEE Transactions of Intelligent Transportation Systems 9(3): 392-405.
    • (2008) IEEE Transactions of Intelligent Transportation Systems , vol.9 , Issue.3 , pp. 392-405
    • Cao, J.1    Liu, H.2    Li, P.3    Brown, D.4
  • 8
    • 13144274690 scopus 로고    scopus 로고
    • Robust linear control of an active suspension on a quarter car test-rig
    • DOI 10.1016/j.conengprac.2004.04.018, PII S0967066104000942
    • Christophe, L., Swevers, J. and Sas, P. (2005). Robust linear control of an active suspension on a quarter car test-rig, Control Engineering Practice 13(5): 577-586. (Pubitemid 40180515)
    • (2005) Control Engineering Practice , vol.13 , Issue.5 , pp. 577-586
    • Lauwerys, C.1    Swevers, J.2    Sas, P.3
  • 9
    • 74349113867 scopus 로고    scopus 로고
    • Neural network-based model predictive control of a servo-hydraulic vehicle suspension system
    • Nairobi, Kenya DOI: 10.1109/AFRCON.2009.5308111.
    • Dahunsi, O. A., Pedro, J. O. and Nyandoro, O. T. (2009). Neural network-based model predictive control of a servo-hydraulic vehicle suspension system, Proceedings of 2009 IEEE AFRICON, Nairobi, Kenya, pp. 1-6, DOI: 10.1109/AFRCON.2009.5308111.
    • (2009) Proceedings of 2009 IEEE AFRICON , pp. 1-6
    • Dahunsi, O.A.1    Pedro, J.O.2    Nyandoro, O.T.3
  • 11
    • 77958462901 scopus 로고    scopus 로고
    • System identification and neural network based PID control of servo-hydraulic vehicle suspension system
    • Dahunsi, O. A., Pedro, J. O. and Nyandoro, O. T. (2010b). System identification and neural network based PID control of servo-hydraulic vehicle suspension system, SAIEE Africa Research Journal 101(3): 93-105.
    • (2010) SAIEE Africa Research Journal , vol.101 , Issue.3 , pp. 93-105
    • Dahunsi, O.A.1    Pedro, J.O.2    Nyandoro, O.T.3
  • 12
    • 0034546141 scopus 로고    scopus 로고
    • Fuzzy control for active suspensions
    • DOI 10.1016/S0957-4158(99)00079-3
    • D'Amato, F. J. and Viassolo, D. E. (2000). Fuzzy control for active suspensions, Mechatronics 10(1): 897-920. (Pubitemid 32020660)
    • (2000) Mechatronics , vol.10 , Issue.8 , pp. 897-920
    • D'Amato, F.J.1    Viassolo, D.E.2
  • 14
    • 79953207848 scopus 로고    scopus 로고
    • Multiobjective static output feedback control design for vehicle suspensions
    • Du, H. and Zhang, N. (2008). Multiobjective static output feedback control design for vehicle suspensions, Journal of System Design and Dynamics 2(1): 228-239.
    • (2008) Journal of System Design and Dynamics , vol.2 , Issue.1 , pp. 228-239
    • Du, H.1    Zhang, N.2
  • 15
    • 77955873073 scopus 로고    scopus 로고
    • Static output feedback control for electrohydraulic active suspensions via T-S fuzzy model approach
    • Du, H. and Zhang, N. (2009). Static output feedback control for electrohydraulic active suspensions via T-S fuzzy model approach, Journal of Dynamic Systems, Measurement and Control: Transactions of ASME 131(5): 051004-1-051004-11.
    • (2009) Journal of Dynamic Systems, Measurement and Control: Transactions of ASME , vol.131 , Issue.5 , pp. 510041-5100411
    • Du, H.1    Zhang, N.2
  • 17
    • 64549095939 scopus 로고    scopus 로고
    • Vibration control of vehicle active suspension system using a new robust neural network control system
    • Eski, I. and Yildrim, S. (2009). Vibration control of vehicle active suspension system using a new robust neural network control system, Simulation Modelling Practice and Theory 17(5): 778-793.
    • (2009) Simulation Modelling Practice and Theory , vol.17 , Issue.5 , pp. 778-793
    • Eski, I.1    Yildrim, S.2
  • 18
    • 70449670895 scopus 로고    scopus 로고
    • H8 robust control of active suspensions: A practical point of view
    • St Louis, MO, USA
    • Fallah, M. S., Bhat, R. and Xie, W. (2009). H8 robust control of active suspensions: A practical point of view, Proceedings of the 2009 American Control Conference, St Louis, MO, USA, pp. 1385-1390.
    • (2009) Proceedings of the 2009 American Control Conference , pp. 1385-1390
    • Fallah, M.S.1    Bhat, R.2    Xie, W.3
  • 19
    • 33745681310 scopus 로고    scopus 로고
    • GA-based PID and fuzzy logic control for active vehicle suspension system
    • Feng, J. Z., Li, J. and Yu, F. (2003). GA-based PID and fuzzy logic control for active vehicle suspension system, International Journal of Automotive Technology 4(4): 181-191.
    • (2003) International Journal of Automotive Technology , vol.4 , Issue.4 , pp. 181-191
    • Feng, J.Z.1    Li, J.2    Yu, F.3
  • 20
    • 0036210897 scopus 로고    scopus 로고
    • Road adaptive active suspension design using linear parameter-varying gain-scheduling
    • DOI 10.1109/87.974337, PII S1063653602000830
    • Fiahlo, I. and Balas, G. J. (2002). Road adaptive active suspension using linear parameter-varying gain-scheduling, IEEE Transactions on Control Systems Technology 10(1): 43-54. (Pubitemid 34277991)
    • (2002) IEEE Transactions on Control Systems Technology , vol.10 , Issue.1 , pp. 43-54
    • Fialho, I.1    Balas, G.J.2
  • 22
    • 0036527362 scopus 로고    scopus 로고
    • From linear to nonlinear control means: A practical progression
    • Gao, Z. (2002). From linear to nonlinear control means: A practical progression, ISA Transactions 41(2): 177-189.
    • (2002) ISA Transactions , vol.41 , Issue.2 , pp. 177-189
    • Gao, Z.1
  • 25
    • 0035354684 scopus 로고    scopus 로고
    • Nonlinear control via generalized feedback linearization using neural networks
    • Goodwin, G. C., Rojas, O. and Takata, H. (2001). Nonlinear control via generalized feedback linearization using neural networks, Asian Journal of Control 3(2): 79-88. (Pubitemid 33039558)
    • (2001) Asian Journal of Control , vol.3 , Issue.2 , pp. 79-88
    • Goodwin, G.C.1    Rojas, O.2    Takata, H.3
  • 26
    • 34548561831 scopus 로고    scopus 로고
    • Optimisation of an active suspension force controller using genetic algorithm for random input
    • Hada, M. K., Menon A. and Bhave S. Y. (2007). Optimisation of an active suspension force controller using genetic algorithm for random input, Defence Science Journal 57(5): 691-706.
    • (2007) Defence Science Journal , vol.57 , Issue.5 , pp. 691-706
    • Hada, M.K.1    Menon, A.2    Bhave, S.Y.3
  • 27
    • 0033284518 scopus 로고    scopus 로고
    • Neural networks for control
    • San Diego, CA, USA
    • Hagan, M. T. and Demuth, H. B. (1999). Neural networks for control, American Control Conference, San Diego, CA, USA, pp. 1642-1656.
    • (1999) American Control Conference , pp. 1642-1656
    • Hagan, M.T.1    Demuth, H.B.2
  • 29
    • 27744456652 scopus 로고    scopus 로고
    • A design methodology for mechatronic vehicles: Application of multidisciplinary optimization, multibody dynamics and genetic algorithms
    • DOI 10.1080/00423110500151077
    • He, Y. and McPhee, J. (2005). A design methodology for mechatronic vehicles: Application of multidisciplinary optimization, multibody dynamics and genetic algorithms, Vehicle Systems Dynamics 43(10): 697-733. (Pubitemid 41605068)
    • (2005) Vehicle System Dynamics , vol.43 , Issue.10 , pp. 697-733
    • He, Y.1    McPhee, J.2
  • 30
    • 0031245931 scopus 로고    scopus 로고
    • Survey of Advanced Suspension Developments and Related Optimal Control Applications
    • PII S0005109897001015
    • Hrovat, D. (1997). Survey of advanced suspension developments and related optimal control applications, Automatica 33(10): 1781-1817. (Pubitemid 127433755)
    • (1997) Automatica , vol.33 , Issue.10 , pp. 1781-1817
    • Hrovat, D.1
  • 33
    • 44849110544 scopus 로고    scopus 로고
    • Adaptive neuron control using an integrated error approach with application to active suspensions
    • Jin, Y. and Yu, D. J. (2008). Adaptive neuron control using an integrated error approach with application to active suspensions, International Journal of Automotive Technology 9(3): 329-335.
    • (2008) International Journal of Automotive Technology , vol.9 , Issue.3 , pp. 329-335
    • Jin, Y.1    Yu, D.J.2
  • 34
    • 58549118942 scopus 로고    scopus 로고
    • Direct adaptive neural control for affine nonlinear systems
    • Kar, I. and Behera, L. (2009). Direct adaptive neural control for affine nonlinear systems, Applied Soft Computing 9(2): 756-764.
    • (2009) Applied Soft Computing , vol.9 , Issue.2 , pp. 756-764
    • Kar, I.1    Behera, L.2
  • 36
    • 78649627498 scopus 로고    scopus 로고
    • Development of active suspension system for automobiles using PID controller
    • London, UK
    • Kumar, M. S. (2008). Development of active suspension system for automobiles using PID controller, Proceedings of the World Congress on Engineering, WCE 2008, London, UK, pp. 1472-1477.
    • (2008) Proceedings of the World Congress on Engineering, WCE 2008 , pp. 1472-1477
    • Kumar, M.S.1
  • 37
    • 34548201703 scopus 로고    scopus 로고
    • Analytical and experimental studies on active suspension system of light passenger vehicle to improve ride comfort
    • Kumar, M. S. and Vijayarangan, S. (2007). Analytical and experimental studies on active suspension system of light passenger vehicle to improve ride comfort, Mechanika 65(3): 34-41. (Pubitemid 47322393)
    • (2007) Mechanika , vol.65 , Issue.3 , pp. 34-41
    • Kumar, M.S.1    Vijayarangan, S.2
  • 38
    • 0033309691 scopus 로고    scopus 로고
    • GA-based fuzzy PI/PD controller for automotive active suspension system
    • Kuo, Y. and Li, T. S. (1999). GA-based fuzzy PI/PD controller for automotive active suspension system, IEEE Transactions on Industrial Electronics 46(6): 88-100.
    • (1999) IEEE Transactions on Industrial Electronics , vol.46 , Issue.6 , pp. 88-100
    • Kuo, Y.1    Li, T.S.2
  • 40
    • 67349186349 scopus 로고    scopus 로고
    • Observer-based backstepping force control of an electrohydraulic actuator
    • Nakkarat, P. and Kuntanapreeda, S. (2009). Observer-based backstepping force control of an electrohydraulic actuator, Control Engineering Practice 17(8): 895-902.
    • (2009) Control Engineering Practice , vol.17 , Issue.8 , pp. 895-902
    • Nakkarat, P.1    Kuntanapreeda, S.2
  • 46
    • 67349257989 scopus 로고    scopus 로고
    • Adaptive feedback linearization control of antilock braking system using neural networks
    • Poursamad, A. (2009). Adaptive feedback linearization control of antilock braking system using neural networks, Mechatronics 19(5): 767-773.
    • (2009) Mechatronics , vol.19 , Issue.5 , pp. 767-773
    • Poursamad, A.1
  • 48
    • 53549090428 scopus 로고    scopus 로고
    • Robust H8 preview control of an active suspension system with norm-bounded uncertainties
    • Ryu, S., Kim, Y. and Park, Y. (2008). Robust H8 preview control of an active suspension system with norm-bounded uncertainties, International Journal of Automotive Technology 9(5): 585-592.
    • (2008) International Journal of Automotive Technology , vol.9 , Issue.5 , pp. 585-592
    • Ryu, S.1    Kim, Y.2    Park, Y.3
  • 50
    • 34848834864 scopus 로고    scopus 로고
    • Feedback linearization based control of a rotational hydraulic drive
    • DOI 10.1016/j.conengprac.2007.02.009, PII S0967066107000524
    • Seo, J., Venugopal, R. and Kenne, J. (2007). Feedback linearization based control of a rotational hydraulic drive, Control Engineering Practice 15(12): 1495-1507. (Pubitemid 47495776)
    • (2007) Control Engineering Practice , vol.15 , Issue.12 , pp. 1495-1507
    • Seo, J.1    Venugopal, R.2    Kenne, J.-P.3
  • 51
    • 27744465947 scopus 로고    scopus 로고
    • Fuzzy and adaptive fuzzy control for the automobiles' active suspension system
    • DOI 10.1080/00423110500097783
    • Sharkawy, A. B. (2005). Fuzzy and adaptive fuzzy control for the automobiles' active suspension system, Vehicle Systems Dynamics 43(10): 795-806. (Pubitemid 41607277)
    • (2005) Vehicle System Dynamics , vol.43 , Issue.11 , pp. 795-806
    • Sharkawy, A.B.1
  • 52
    • 33645609235 scopus 로고    scopus 로고
    • Analysis of active suspension systems with hydraulic actuators
    • Atsuigi, Japan
    • Shen, X. and Peng, H. (2003). Analysis of active suspension systems with hydraulic actuators, Proceedings of the 2003 IAVSD Conference, Atsuigi, Japan, pp. 1-10.
    • (2003) Proceedings of the 2003 IAVSD Conference , pp. 1-10
    • Shen, X.1    Peng, H.2
  • 55
    • 0032207282 scopus 로고    scopus 로고
    • A neural approach for control of nonlinear systems with feedback linearization
    • PII S104592279807711X
    • He, S., Reif, K. and Unbehauen, R. (1998). A neural approach for control of nonlinear systems with feedback linearization, Control Engineering Practice 9(6): 1409-1421. (Pubitemid 128742418)
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.6 , pp. 1409-1421
    • He, S.1    Reif, K.2    Unbehauen, R.3
  • 58
    • 0029408590 scopus 로고
    • Feedback linearization using neural networks
    • Yesildirek, A. and Lewis, F. L. (1995). Feedback linearization using neural networks, Automatica 31(11): 1659-1664.
    • (1995) Automatica , vol.31 , Issue.11 , pp. 1659-1664
    • Yesildirek, A.1    Lewis, F.L.2
  • 59
    • 17244370750 scopus 로고    scopus 로고
    • Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer
    • DOI 10.1631/jzus.2005.A0251
    • Yoshimura, T. and Teramura, I. (2005). Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer, Journal of Zhejiang University: Science 6A(4): 251-256. (Pubitemid 40528095)
    • (2005) Journal of Zhejiang University: Science , vol.6 A , Issue.4 , pp. 251-256
    • Yoshimura, T.1    Teramura, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.