Vehicle Active Suspension System performance using Different Control Strategies
Citation
Atef, Mahmoud M, Soliman, M-Emad S., Sharkawy, A.B."Vehicle Active Suspension System performance using Different Control Strategies", International Journal of Engineering Trends and Technology (IJETT), V30(2),106-114 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The objective of the present work is to
investigate the performance of an active suspension
system of a typical passenger car through the
application of three different control strategies
under three different road irregularities. Tested
control strategies are PID, LQR and FLC. Road
irregularities considered are: a single rectangular
pothole, a single cosine bump, and an ISO class-A
random road disturbance. A 2-DOF quarter-vehicle
model is used to simulate, evaluate and compare
performance of these controllers against each other
and against the original passive suspension system.
Both tire gripping force and actuator force were
normalized with respect to vehicle weight to
recognize tire separation and enhance readability
and interpretation of results. Simulation results
showed that, active suspension systems are
advantageous compared to passive ones. Active
suspension implementing FLC control surpassed
both PID and LQR controllers. Improvement of ride
comfort was recognized by a reduction of sprung
mass displacement and acceleration up to 23.8%
and 52% respectively compared to the passive case.
Improvement of load capacity is clear with a
suspension travel reduction up to 61%. Moreover,
vehicle stability was enhanced by increasing the tire
separation margin up to 28 % of vehicle weight. An
actuator force up to 39.5% of vehicle weight is
required. All achieved by active suspension
implementing FLC control.
References
[1] F. L. Fisher, "Design of a Semi-active Controllable
Electromagnetic Shock Absorber", Master of Science thesis,
Northern Illinois University, Dekable, Illinois.2011
[2] S. Mouleeswaran, "Design and Development of PID
Controller-Based Active Suspension System for Automobiles"
PID Controller Design Approaches - Theory, Tuning and
Application to Frontier Areas, M. Vagia, InTech, ,2012
[3] A. Agharkakli, G. S. Sabet and A. Barouz, ,"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), pp.636-644. 2012
[4]R. B. Darus,, "Modeling and Control of Active Suspension for
a Full Car Model", M. of Science thesis, University Technology
Malaysia. 2008
[5]Q. Zhou, "Research and Simulation on New Active Suspension
Control System", M. Science thesis, Lehigh University. , 2013.
[6] M. S. Kumar and S. Vijayarangan,"Design of LQR Controller
for Active Suspension System", Indian Journal of Engineering &
Materials Sciences, 13 (June), pp.173- 179, 2006.
[7] A. A. Aldair and W. J. Wang,"Design and Intelligent
Controller for Full Vehicle Nonlinear Active Suspension
Systems", International Journal on Smart and Intelligent Systems
4(2), pp.224-243, 2011.
[8] M. Heidari and H. Homaei, "Design a PID Controller for
Suspension System by Back Propagation Neural Network",
Journal of Engineering, 2013 (241543 ), 2013.
[9] J. Z. Feng, J. Li and F. Yu,"GA-Based PID and Fuzzy Logic
Control for Active Vehicle Suspension System", International
Journal of Automotive Technology, 4 (4), pp.181-191, 2003.
[11] M. Paksoy, R. Guclu and S. Cetin, "Semiactive Self-Tuning
Fuzzy Logic Control of Full Vehicle Model with MR Damper",
Advances in Mechanical Engineering, 2014.
[12] N. Changizi and M. Rouhani, "Comparing PID and Fuzzy
Logic Control a Quarter-Car Suspension System", The Journal of
Mathematics and Computer Science 3(3), pp.559-564, 2011.
[13] A. B. Sharkawy,"Fuzzy and Adaptive Fuzzy Control for the
Autombiles Active Suspension System", Vehicle system
Dynamics, 43 (11), pp.795-806, 2005.
[14] G. Priyandoko, M. Mailah and H. Jamaluddin,"Vehicle
Active Suspension System Using Skyhook Adaptive Neuro
Active Force Control", Mechanical Systems and Signal
Processing, 23 pp.855- 868, 2009.
[15] R. K. Pekokogoz, M. A. Gurel, M. Bilgehan and M.
Kisa,"Active Suspension of Cars Using Fuzzy Logic Controller
Optimized by Genetic Alograithm", International Journal of
Engineering and Applied Sciences, 2 (4), pp.27-37, 2002.
[16] Hung T. Nguyen, Nadipuram R. Prasad, Carol L. Walker,
Elbert A. Walker, A First Course in Fuzzy and neural control,
CRC Press, London, pp. 53-71, 2003.
[17] K. Ogata, Modern Control Engineering, Aeeizh, London,
pp.681-745, ISBN: 0-13-043245-8: 0-13-043245-8, 2002.
[18] M. Jamil, A. A. Janjua, I. Rafique, S. I. Butt, Y. Ayaz and S.
O. Gilani,"Optimal Control based Intelligent Controller for Active
Suspension System", Life Science Journal 2013;10(12s), 10 (12),
pp.653-659, 2013.
[19]C.-y. Tang, G.-y. Zhao and Y.-m. Zhang, "The Application of
Fuzzy Control Algorithm of Vehicle with Active Suspensions ",
Research Journal of Applied Sciences, Engineering and
Technology, 4 (16), pp.2744-2747, 2012.
[20] G. Rill, Road Vehicle Dynamics Fundamental and Modeling,
Ground Vehicle Enginerring series, v. V. Vantesvich, CRC Press,
pp.27-41, 978-1-4398-3898-3: 978-1-4398-3898-3, 2011.
[21]S. Abramov, S. Mannan and O. Durieux "Semi-Active
Suspension System Simulation Using SIMULINK", International
Journal of Engineering Systems Modelling and Simulation, 1
(2/3), pp.101-114, 2009.
Keywords
Vehicle active suspension system, FLC, PID, LQR.