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Tire-Road Separation Time Reduction by an Adaptive Proportional-Integral-Derivative Controller Utilizing Particle Swarm Optimization Algorithm
Journal Article
02-14-04-0033
ISSN: 1946-391X, e-ISSN: 1946-3928
Sector:
Topic:
Citation:
Nguyen, Q., Milani, S., Marzbani, H., and Jazar, R., "Tire-Road Separation Time Reduction by an Adaptive Proportional-Integral-Derivative Controller Utilizing Particle Swarm Optimization Algorithm," SAE Int. J. Commer. Veh. 15(1):37-50, 2022, https://doi.org/10.4271/02-14-04-0033.
Language:
English
Abstract:
The article examines quarter-car dynamics with the possible separation of its
tire from the road. A set of nondimensionalized differential equations has been
proposed to minimize the involved parameters. Time and frequency response
investigation of the system has been analyzed insightfully considering tire-road
separation. To measure the separation of the tire, a time fraction index is
defined, indicating the fraction of separation time in a cycle at steady-state
conditions. Minimizing the index is assumed as the objective of the optimized
system. An actuator is applied to the vehicle suspension in parallel with the
mainspring and damper of the suspension. Particle Swarm Optimization (PSO) is
used to properly tune a Proportional-Integral-Derivative (PID) controller for
the active suspension system excited by a harmonic excitation. To verify the
effectiveness of the control proposed, the controlled result compared with a
passive suspension system illustrates the design, achieving a more comfortable
ride with a significant decrease of the separation time.