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Tire-Road Separation Time Reduction by an Adaptive PID Controller Utilizing Particle Swarm Optimization Algorithm

Journal Article
02-14-04-0033
ISSN: 1946-391X, e-ISSN: 1946-3928
Published May 05, 2021 by SAE International in United States
Tire-Road Separation Time Reduction by an Adaptive PID Controller Utilizing Particle Swarm Optimization Algorithm
Sector:
Citation: Nguyen, Q., Milani, S., Marzbani, H., and Jazar, R., "Tire-Road Separation Time Reduction by an Adaptive PID Controller Utilizing Particle Swarm Optimization Algorithm," SAE Int. J. Commer. Veh. 14(4):2021, 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.