Self-Tuning Fuzzy Control of Seat Vibrations of Active Quarter Car Model
An active quarter car model with three degrees of freedom is presented for vibration reduction of passenger seat. The designed Fuzzy Logic Controller (FLC) and Self-Tuning Fuzzy Logic Controller (STFLC) are applied in seat suspension. Vibration control performance of active and passive quarter car systems are determined using simulation work. Simulation results in terms of passenger seat acceleration and displacement responses are compared for controlled and uncontrolled cases. Simulation results showed the improved results of both FLC and STFLC controllers in improving passenger ride comfort compared to uncontrolled case. Furthermore, the best performance in simulation studies is achieved by STFLC controlled suspension system compared to FLC controlled and uncontrolled cases.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131273Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 700
 Hassan, S.A., & Sharp, R.S. (1986). The relative performance capability of passive, active and semiactive car suspension systems, SAE technical paper series 864901.
 Devdutt, & Aggarwal, M.L. (2014). Fuzzy control of passenger ride performance using MR shock absorber suspension in quarter car model, International Journal of Dynamics and Control, Springerlink, DOI 10.1007/s40435- 014-0128-z.
 Sie, W.T., Lian, R.J., & Lin, B.F. (2006). Enhancing grey prediction fuzzy controller for active suspension systems, Veh. Syst. Dyn., 44(5), 407–430.
 Fialho, I., & Balas, G. J. (2002). Road adaptive active suspension design using linear parameter-varying gain-scheduling, IEEE Trans. Contr. Syst. Technology, 10(1), 43 -54.
 Huang, S. J., & Lin, W. C. (2003). A neural network sliding controller for active vehicle suspension,” Materials Science Forum, 440-441, 119-126.
 Lauwerys, C., Swevers, J., & Sas, P. (2005). Robust linear control of an active suspension on a quarter car test-rig, Control Engineering Practice 13(5), 577-586.
 Huang, S. J., & Chen, H. Y. (2006). Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control, Mechatronics, 16, 607–22.
 Rajeswari, K.,& Lakshmi, P. (2008). GA tuned distance based fuzzy sliding mode controller for vehicle suspension systems, International Journal of Engineering and Technology, 5(1), 36- 47.
 Shirjoposht, N. P., Hassanzadeh, I., Hashemzadeh, F., & Alizadeh G. (2010). Optimal active suspension control based on a quarter-car model: an analytical solution, International Journal of Vehicle Safety (IJVS) 5(1), 1-20.
 Sun, W., Gao, H., & Kaynak, O. (2011). Finite frequency H∞ control for vehicle active suspension systems, IEEE Trans. Control Syst. Technol. 19, 416–22.
 Guon, L. X., & Zhang, L. P. (2012). Robust H∞ control of active vehicle suspension under non-stationary running, Journal of Sound and Vibration, 331, 5824–5837.
 Lian, R. J. (2013). Enhanced Adaptive Self-Organizing Fuzzy Sliding-Mode Controller for Active Suspension Systems, IEEE Transactions on Industrial Electronics, 60(3), 958-968.
 Deshpande, V. S., Mohan, B., Shendge, P. D., & Phadke, S. B. (2014). Disturbance observer based sliding mode control of active suspension systems, Journal of Sound and Vibration, 333, 2281–2296.
 Fard, H. M., & Samadi, F. (2015). Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller, IJE Transactions C: Aspects, 28( 3), 396-401.
 Devdutt, & Aggarwal, M.L. (2014). Fuzzy Logic Control of a Semi-Active Quarter Car System, International Journal of Mechanical, Industrial Science and Engineering, World Academy of Science, Engineering and Technology, 8(1), 163-167.
 Devdutt, & Aggarwal, M.L. (2015). Passenger seat vibration control of a semi-active quarter car system with hybrid Fuzzy – PID approach, International Journal of Dynamics and Control, Springerlink, DOI 10.1007/s 40435-015-0175-0.
 Kumar, M S. & Vijayarangan, S. (2006) Design of LQR controller for active suspension system,” Indian Journal of Engineering & Materials Sciences, 13, 173-179.