The paper presents the virtual model of the active
suspension system used for improving the dynamic behavior of a
motor vehicle. The study is focused on the design of the control
system, the purpose being to minimize the effect of the road
disturbances (which are considered as perturbations for the control
system). The analysis is performed for a quarter-car model, which
corresponds to the suspension system of the front wheel, by using the
DFC (Design for Control) software solution EASY5 (Engineering
Analysis Systems) of MSC Software. The controller, which is a PIDbased
device, is designed through a parametric optimization with the
Matrix Algebra Tool (MAT), considering the gain factors as design
variables, while the design objective is to minimize the overshoot of
the indicial response.
[1] J. Lin, and R.J. Lian, "Intelligent control of active suspension systems",
IEEE Transactions on Industrial Electronics, vol. 58, pp. 618-628, Feb.
2011.
[2] M.N. Khajavi, and V. Abdollahi, "Comparison between optimized passive
vehicle suspension system and semi active fuzzy logic controlled
suspension system regarding ride and handling", World Academy of
Science, Engineering and Technology, vol. 25, pp. 57-61, 2007.
[3] V. Sankaranarayanan, M.E. Emekli, B.A. Gilvenc, L. Guvenc, E.S.
Ozturk, E.S. Ersolmaz, I.E. Eyol, and M. Sinal, "Semiactive suspension
control of a light commercial vehicle", IEEE/ASME Transactions on
Mechatronics, vol. 13, pp. 598-604, Oct. 2008.
[4] H. Zhang, H. Winner, and W. Li, "Comparison between skyhook and
minimax control strategies for semi-active suspension system", World
Academy of Science, Engineering and Technology, vol. 55, pp. 618-621,
2009.
[5] A. Kruczek, and A. Stribrsky, "A full-car model for active suspension:
some practical aspects", in Proc. IEEE Int. Conf. Mechatronics - ICM,
Istanbul, 2004, pp. 41-45.
[6] G. Priyandokoa, M. Mailah, and H. Jamaluddin, "Vehicle active
suspension system using skyhook adaptive neuro active force control",
Mechanical Systems and Signal Processing, vol. 23, pp. 855-868, April
2009.
[7] J. Wang, D. Wilson, W. Xu, and D. Crolla, "Active suspension control
to improve vehicle ride and steady-state handling", in Proc. 44th IEEE
Conf. Decision and Control, Seville, 2005, pp. 1982-1987.
[8] S. Cetin, and O. Demir, "Fuzzy PID controller with coupled rules for a
nonlinear quarter car model", World Academy of Science, Engineering
and Technology, vol. 41, pp. 238-241, 2008.
[9] H. Chen, and K.H. Guo, "Constrained H∞ control of active suspensions:
an LMI approach", IEEE Transactions on Control Systems Technology,
vol. 13, pp. 412-421, May 2005.
[10] M.M. Salem, and A.A. Aly, "Fuzzy control of a quarter-car suspension
system", World Academy of Science, Engineering and Technology, vol.
53, pp. 258-263, 2009.
[11] C. Pozna, F. Troester, R.E. Precup, J. Tar, and S. Preitl, "On the design
of an obstacle avoiding trajectory", Journal of Mathematics and
Computers in Simulation, vol. 79, pp. 2211-2226, March 2009.
[1] J. Lin, and R.J. Lian, "Intelligent control of active suspension systems",
IEEE Transactions on Industrial Electronics, vol. 58, pp. 618-628, Feb.
2011.
[2] M.N. Khajavi, and V. Abdollahi, "Comparison between optimized passive
vehicle suspension system and semi active fuzzy logic controlled
suspension system regarding ride and handling", World Academy of
Science, Engineering and Technology, vol. 25, pp. 57-61, 2007.
[3] V. Sankaranarayanan, M.E. Emekli, B.A. Gilvenc, L. Guvenc, E.S.
Ozturk, E.S. Ersolmaz, I.E. Eyol, and M. Sinal, "Semiactive suspension
control of a light commercial vehicle", IEEE/ASME Transactions on
Mechatronics, vol. 13, pp. 598-604, Oct. 2008.
[4] H. Zhang, H. Winner, and W. Li, "Comparison between skyhook and
minimax control strategies for semi-active suspension system", World
Academy of Science, Engineering and Technology, vol. 55, pp. 618-621,
2009.
[5] A. Kruczek, and A. Stribrsky, "A full-car model for active suspension:
some practical aspects", in Proc. IEEE Int. Conf. Mechatronics - ICM,
Istanbul, 2004, pp. 41-45.
[6] G. Priyandokoa, M. Mailah, and H. Jamaluddin, "Vehicle active
suspension system using skyhook adaptive neuro active force control",
Mechanical Systems and Signal Processing, vol. 23, pp. 855-868, April
2009.
[7] J. Wang, D. Wilson, W. Xu, and D. Crolla, "Active suspension control
to improve vehicle ride and steady-state handling", in Proc. 44th IEEE
Conf. Decision and Control, Seville, 2005, pp. 1982-1987.
[8] S. Cetin, and O. Demir, "Fuzzy PID controller with coupled rules for a
nonlinear quarter car model", World Academy of Science, Engineering
and Technology, vol. 41, pp. 238-241, 2008.
[9] H. Chen, and K.H. Guo, "Constrained H∞ control of active suspensions:
an LMI approach", IEEE Transactions on Control Systems Technology,
vol. 13, pp. 412-421, May 2005.
[10] M.M. Salem, and A.A. Aly, "Fuzzy control of a quarter-car suspension
system", World Academy of Science, Engineering and Technology, vol.
53, pp. 258-263, 2009.
[11] C. Pozna, F. Troester, R.E. Precup, J. Tar, and S. Preitl, "On the design
of an obstacle avoiding trajectory", Journal of Mathematics and
Computers in Simulation, vol. 79, pp. 2211-2226, March 2009.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:54490", author = "C. Alexandru and P. Alexandru", title = "Control Strategy for an Active Suspension System", abstract = "The paper presents the virtual model of the active
suspension system used for improving the dynamic behavior of a
motor vehicle. The study is focused on the design of the control
system, the purpose being to minimize the effect of the road
disturbances (which are considered as perturbations for the control
system). The analysis is performed for a quarter-car model, which
corresponds to the suspension system of the front wheel, by using the
DFC (Design for Control) software solution EASY5 (Engineering
Analysis Systems) of MSC Software. The controller, which is a PIDbased
device, is designed through a parametric optimization with the
Matrix Algebra Tool (MAT), considering the gain factors as design
variables, while the design objective is to minimize the overshoot of
the indicial response.", keywords = "Active suspension, Controller, Dynamics, Vehicle", volume = "5", number = "7", pages = "1293-6", }