Authors:
Eman Mohammed,Karim Hassan Ali,DOI NO:
https://doi.org/10.26782/jmcms.2020.02.00020Keywords:
Fuzzy PID controller,active suspension,quarter vehicle model,MATLAB simulation,Abstract
Development has been achieved to the road vehicle industry so as to manufacture types of automobiles with high ride passenger comfort. One requirement needed to obtain good quality of drive handling efficient operating characteristics of the model system which is equipped for road automobile. The suspension systems are mainly used to restrain externally disturbance from affecting ride tripper rest .Our research had been presented (Fuzzy PID) control for investigate active road vehicle suspension controller. The Fuzzy logic function is used to improve tuning and performance the gain of the road vehicle suspension with PID controller. Undesired displacements of the road vehicle body during dynamic process are presented and compared for two road vehicle models with PID controller and FUZZY PID controller. The final simulated results show the influence of the active road vehicle suspension controller on the efficiency of ride road vehicle handling however raising the strength and execute slick driving. Then, a robust control is executed to optimize these operating characteristics of the suspension systems to improve the road vehicle.Refference:
I. Alleyne, A., & Hedrick, J. K. (1995). Nonlinear adaptive control of active suspensions. IEEE transactions on control systems technology, 3(1), 94-101.
II. Agharkakli, A., Sabet, G. S., & Barouz, A. (2012). Simulation and analysis of passive and active suspension system using quarter car model for different road profile. International Journal of Engineering Trends and Technology, 3(5), 636-644.
III. Changizi, N., & Rouhani, M. (2011). Comparing PID and fuzzy logic control a quarter car suspension system. The journal of mathematics and computer science, 2(3), 559-564.
IV. Dukkipati, R. V. (2007). Solving vibration analysis problems using MATLAB. New Age International.
V. Ghasemalizadeh, O., Taheri, S., Singh, A., & Goryca, J. (2014). Semi-active Suspension Control using Modern Methodology: Comprehensive Comparison Study. arXiv preprint arXiv:1411.3305.
VI. Gordon, T. J., Marsh, C., & Milsted, M. G. (1991). A comparison of adaptive LQG and nonlinear controllers for vehicle suspension systems. Vehicle System Dynamics, 20(6), 321-340.
VII. Gysen, B. L., Paulides, J. J., Janssen, J. L., & Lomonova, E. A. (2009). Active electromagnetic suspension system for improved vehicle dynamics. IEEE Transactions on Vehicular Technology, 59(3), 1156-1163.
VIII. Hatch, M. R. (2000). Vibration simulation using MATLAB and ANSYS. CRC Press.
IX. Tiwari, P., & Mishra, G. (2014). Simulation of quarter-car model. JOSR Journal of Mechanical and Civil Engineering, 11(2), 85-88.
X. Yagiz, Nurkan, and Yuksel Hacioglu. “Backstepping control of a vehicle with active suspensions.” Control Engineering Practice16.12 (2008): 1457-1467.