Passenger Seat Vibration Comparison Using ANFIS Control in Active Quarter Car Model
In this paper, vibration control response of passenger seat in quarter car model having three degrees of freedom is studied. Three different control strategies are taken into account using Adaptive Neuro Fuzzy Inference System (ANFIS) controller. In first case, ANFIS controller is applied in main suspension of active quarter car model. In second case, passenger seat suspension is assembled with ANFIS controller. Finally, both main and passenger seat suspensions are integrated with ANFIS controller. Simulation work under random road excitations is performed using passive and controlled quarter car models for performance comparison of passenger ride comfort. Ride comfort analysis is also compared as per ISO 2631-1 criterion. The obtained simulation responses are compared taking passenger seat acceleration and displacement response in time and frequency domain for the selection of best control strategy in designed quarter car model.
[1] Ahmadian M and Pare C “A quarter-car experimental analysis of alternative semi active control methods”, J. Intell. Mater. Syst. Struct., Vol. 11, No. 8, 2000, pp. 604–612.
[2] Devdutt and Aggarwal, M L, “Fuzzy control of passenger ride performance using MR shock absorber suspension in quarter car model”, International Journal of Dynamics and Control, Vol. 3, No. 4, 2015, pp. 463-469.
[3] Devdutt and Aggarwal, M L “Active Vibration Control of Passenger Seat with HFPIDCR Controlled Suspension Alternatives”, World Academy of Science, Engineering and Technology, Vol. 10, No. 5, 2016, pp. 916-23.
[4] Devdutt and Aggarwal, M L. “Hybrid Fuzzy-PID Control of a Semi-Active Quarter Car System, MR International Journal of Engineering and Technology, Vol. 6, No. 2, 2014, pp. 21-26.
[5] Devdutt and Aggarwal, M L “Comparative Analysis of Passenger Ride Comfort Using Various Semiactive Suspension Alternatives”, International Journal of Recent advances in Mechanical Engineering, Vol.3, No. 3, 2014, pp. 79-89.
[6] Devdutt and Aggarwal, M L “Passenger seat vibration control of a semi-active quarter car system with hybrid Fuzzy – PID approach”, International Journal of Dynamics and Control, Vol. 5, No. 2, 2017, pp. 287-296.
[7] Wu J D and Chen R J “Application of an active controller for reducing small-amplitude vertical vibration in a vehicle seat”, Journal of Sound and Vibration, Vol. 274, No. 3–5, 2004, pp. 939–951.
[8] Maciejewski I “Control system design of active seat suspensions”, Journal of Sound and Vibration, Vol. 331, No. 6, 2012, pp.1291–1309.
[9] Fialho I, Balas G J “Road adaptive active suspension design using linear parameter-varying gain-scheduling”, IEEE Transactions on Control System Technology, Vol. 10, No. 1, 2003, pp. 43–54.
[10] Huang S J, Lin W C “A neural network sliding controller for active vehicle suspension”, Materials Science Forum, Vol. 440-441, 2003, pp. 119-126.
[11] Lauwerys C, Swevers J, Sas P “Robust linear control of an active suspension on a quarter car test-rig”, Control Engineering Practice, Vol. 13, No. 5,2005, pp. 577-586.
[12] Huang, S J and Chen, H Y “Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control”, Mechatronics, Vol. 16, 2006, pp. 607–22.
[13] Salem, M MM and Aly, AA “Fuzzy control of a quarter-car suspension system”, World Academy of Science, Engineering and Technology, Vol. 3, No. 5, 2009, pp. 224-229.
[14] Shirjoposht, N P, Hassanzadeh, I, Hashemzadeh, F and Alizadeh, G “Optimal active suspension control based on a quarter-car model: an analytical solution”, International Journal of Vehicle Safety (IJVS), Vol. 5, No. 1, 2010, pp. 1-20.
[15] Sun, W, Gao, H and Kaynak, O “Finite frequency H∞ control for vehicle active suspension systems”, IEEE Trans. Control Syst. Technol, Vol. 19, 2011, pp. 416–22.
[16] Heidari M and Homaei H, “Design a PID Controller for Suspension System by Back Propagation Neural Network”, Hindawi Publishing Corporation Journal of Engineering, Volume 2013, Article ID 421543, 9 pages.
[17] Rosli R, Mailah M, and Priyandoko G “Active Suspension System for Passenger Vehicle using Active Force Control with Iterative Learning Algorithm”, WSEAS Trans. Syst. Control, Vol. 9, 2014, pp. 120-129.
[18] Emam A S “Fuzzy Self Tuning of PID controller for active suspension system”, Advances in Powertrains and Automotives, Vol. 1, No. 1, 2015, pp. 34-41.
[19] Devdutt and Aggarwal M L “Active Vibration Control of Passenger Seat with HFPIDCR Controlled Suspension Alternatives”, World Academy of Science, Engineering and Technology, Vol. 10, No. 5, 2016, pp. 916-23.
[20] Park S and Rahmdel S “A new fuzzy sliding mode controller with auto-adjustable saturation boundary layers implemented on vehicle suspension”, International Journal of Engineering-Transactions C: Aspects, Vol. 26, No. 12, 2013, pp. 1401-1410.
[21] Devdutt “Self-Tuning Fuzzy Control of Seat Vibrations of Active Quarter Car Model”, World Academy of Science, Engineering and Technology, Vol. 11, No. 5, 2017, pp. 1053-1059.
[22] ISO: 2631-1, Mechanical vibration and shock – evaluation of human exposure to whole – body vibration; 1997.
[1] Ahmadian M and Pare C “A quarter-car experimental analysis of alternative semi active control methods”, J. Intell. Mater. Syst. Struct., Vol. 11, No. 8, 2000, pp. 604–612.
[2] Devdutt and Aggarwal, M L, “Fuzzy control of passenger ride performance using MR shock absorber suspension in quarter car model”, International Journal of Dynamics and Control, Vol. 3, No. 4, 2015, pp. 463-469.
[3] Devdutt and Aggarwal, M L “Active Vibration Control of Passenger Seat with HFPIDCR Controlled Suspension Alternatives”, World Academy of Science, Engineering and Technology, Vol. 10, No. 5, 2016, pp. 916-23.
[4] Devdutt and Aggarwal, M L. “Hybrid Fuzzy-PID Control of a Semi-Active Quarter Car System, MR International Journal of Engineering and Technology, Vol. 6, No. 2, 2014, pp. 21-26.
[5] Devdutt and Aggarwal, M L “Comparative Analysis of Passenger Ride Comfort Using Various Semiactive Suspension Alternatives”, International Journal of Recent advances in Mechanical Engineering, Vol.3, No. 3, 2014, pp. 79-89.
[6] Devdutt and Aggarwal, M L “Passenger seat vibration control of a semi-active quarter car system with hybrid Fuzzy – PID approach”, International Journal of Dynamics and Control, Vol. 5, No. 2, 2017, pp. 287-296.
[7] Wu J D and Chen R J “Application of an active controller for reducing small-amplitude vertical vibration in a vehicle seat”, Journal of Sound and Vibration, Vol. 274, No. 3–5, 2004, pp. 939–951.
[8] Maciejewski I “Control system design of active seat suspensions”, Journal of Sound and Vibration, Vol. 331, No. 6, 2012, pp.1291–1309.
[9] Fialho I, Balas G J “Road adaptive active suspension design using linear parameter-varying gain-scheduling”, IEEE Transactions on Control System Technology, Vol. 10, No. 1, 2003, pp. 43–54.
[10] Huang S J, Lin W C “A neural network sliding controller for active vehicle suspension”, Materials Science Forum, Vol. 440-441, 2003, pp. 119-126.
[11] Lauwerys C, Swevers J, Sas P “Robust linear control of an active suspension on a quarter car test-rig”, Control Engineering Practice, Vol. 13, No. 5,2005, pp. 577-586.
[12] Huang, S J and Chen, H Y “Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control”, Mechatronics, Vol. 16, 2006, pp. 607–22.
[13] Salem, M MM and Aly, AA “Fuzzy control of a quarter-car suspension system”, World Academy of Science, Engineering and Technology, Vol. 3, No. 5, 2009, pp. 224-229.
[14] Shirjoposht, N P, Hassanzadeh, I, Hashemzadeh, F and Alizadeh, G “Optimal active suspension control based on a quarter-car model: an analytical solution”, International Journal of Vehicle Safety (IJVS), Vol. 5, No. 1, 2010, pp. 1-20.
[15] Sun, W, Gao, H and Kaynak, O “Finite frequency H∞ control for vehicle active suspension systems”, IEEE Trans. Control Syst. Technol, Vol. 19, 2011, pp. 416–22.
[16] Heidari M and Homaei H, “Design a PID Controller for Suspension System by Back Propagation Neural Network”, Hindawi Publishing Corporation Journal of Engineering, Volume 2013, Article ID 421543, 9 pages.
[17] Rosli R, Mailah M, and Priyandoko G “Active Suspension System for Passenger Vehicle using Active Force Control with Iterative Learning Algorithm”, WSEAS Trans. Syst. Control, Vol. 9, 2014, pp. 120-129.
[18] Emam A S “Fuzzy Self Tuning of PID controller for active suspension system”, Advances in Powertrains and Automotives, Vol. 1, No. 1, 2015, pp. 34-41.
[19] Devdutt and Aggarwal M L “Active Vibration Control of Passenger Seat with HFPIDCR Controlled Suspension Alternatives”, World Academy of Science, Engineering and Technology, Vol. 10, No. 5, 2016, pp. 916-23.
[20] Park S and Rahmdel S “A new fuzzy sliding mode controller with auto-adjustable saturation boundary layers implemented on vehicle suspension”, International Journal of Engineering-Transactions C: Aspects, Vol. 26, No. 12, 2013, pp. 1401-1410.
[21] Devdutt “Self-Tuning Fuzzy Control of Seat Vibrations of Active Quarter Car Model”, World Academy of Science, Engineering and Technology, Vol. 11, No. 5, 2017, pp. 1053-1059.
[22] ISO: 2631-1, Mechanical vibration and shock – evaluation of human exposure to whole – body vibration; 1997.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:76426", author = "Devdutt", title = "Passenger Seat Vibration Comparison Using ANFIS Control in Active Quarter Car Model ", abstract = "In this paper, vibration control response of passenger seat in quarter car model having three degrees of freedom is studied. Three different control strategies are taken into account using Adaptive Neuro Fuzzy Inference System (ANFIS) controller. In first case, ANFIS controller is applied in main suspension of active quarter car model. In second case, passenger seat suspension is assembled with ANFIS controller. Finally, both main and passenger seat suspensions are integrated with ANFIS controller. Simulation work under random road excitations is performed using passive and controlled quarter car models for performance comparison of passenger ride comfort. Ride comfort analysis is also compared as per ISO 2631-1 criterion. The obtained simulation responses are compared taking passenger seat acceleration and displacement response in time and frequency domain for the selection of best control strategy in designed quarter car model.
", keywords = "Active suspension system, ANFIS controller, passenger ride comfort, quarter car model.", volume = "11", number = "7", pages = "1388-6", }
