Optimal Parameters Identification of Quarter Car Simulink Model for Better Ride Comfort and Road Holding

Puneet, N. P.; Hegale, Abhinandan; Kumar, Hemantha; Gangadharan, K. V.

doi:10.1007/978-981-15-8315-5_53

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers in the automobile industry have utilized various dynamical models with different control strategies to evaluate vehicle performance in terms of ride comfort and road holding capabilities. In [ 9 , 10 , 11 , 12 , 13 ], the authors used a sophisticated two Degree Of Freedom (DOF) quarter vehicle model to improve ride comfort and road holding and utilized Linear Quadratic Regulator (LQR) and fuzzy logic control approaches. Similarly, in [ 14 , 15 , 16 ], a more complicated and ubiquitous four DOF half-car model that can be treated as a longitudinal or lateral vehicle model with an extra two DOF of roll and heave motion, crucial for ride comfort and road holding capability.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of a Vehicle Equipped with Active Aerodynamic Surfaces Using Anti-Jerk Preview Control Strategy

Ahmad

Youn

2022

Sensors

View full text Add to dashboard Cite

This paper presents a formulation of a preview optimal control strategy for a half-car model equipped with active aerodynamic surfaces. The designed control strategy consists of two parts: a feed-forward controller to deal with the future road disturbances and a feedback controller to deal with tracking error. An anti-jerk functionality is employed in the design of preview control strategy that can reliably reduce the jerk of control inputs to improve the performance of active aerodynamic surfaces and reduce vehicle body jerk to enhance the ride comfort without degrading road holding capability. The proposed control scheme determines proactive control action against oncoming potential road disturbances to mitigate the effect of deterministically known road disturbances. The performance of proposed anti-jerk optimal control strategy is compared with that of optimal control without considering jerk. Simulation results considering frequency and time domain characteristics are carried out using MATLAB to demonstrate the effectiveness of the proposed scheme. The frequency domain characteristics are discussed only for the roll inputs, while time domain characteristics are discussed for the corresponding ground velocity inputs of bump and asphalt road, respectively. The results show that using anti-jerk optimal preview control strategy improves the performance of vehicle dynamics by reducing jerk of aerodynamic surfaces and vehicle body jerk simultaneously.

show abstract