Vibration suppression investigation and parametric design of tri-axle straight heavy truck with pitch-resistant hydraulically interconnected suspension

Abstract

The vibration suppression of the proposed pitch-resistant hydraulically interconnected suspension system for the tri-axle straight truck is investigated, and the vibration isolation performances are parametrically designed to achieve smaller body vibration and tire dynamic load using increased pitch stiffness and optimized pressure loss coefficient. For the hydraulic subsystem, the transfer impedance matrix method is applied to derive the impedance matrix. These hydraulic forces are incorporated into the motion equations of mechanical subsystem as external forces according to relationships between boundary flow and mechanical state vectors. In terms of the additional mode stiffness/damping and suspension performance requirements, the cylinder surface area, accumulator pressure, and damper valve’s pressure loss coefficient are comprehensively tuned with parametric design technique and modal analysis method. It is found the isolation capacity is heavily dependent on installation scheme and fluid physical parameters. Especially, the surface area can be designed for the oppositional installation to separately raise pitch stiffness without increasing bounce stiffness. The pressure loss coefficients are tuned with design of experiment approach and evaluated using all conflict indexes with normalized dimensionless evaluation factors. The obtained numerical results indicate that the proposed pitch-resistant hydraulically interconnected suspension system can significantly inhibit both the body and tire vibrations with decreased suspension deformation, and the tire dynamic load distribution among wheel stations is also improved.

Modeling and characteristic analysis of mid-rear axle hydraulically interconnected suspensions for tri-axle heavy trucks

“…The co-design of stiffness and damping parameters can improve the distribution of tire dynamic loads and thus improve driving stability. However, fixed structural parameters are only adapted to a specific range of vehicle speeds (Ding et al, 2021). Therefore, future work should be devoted to quantifying the suspension properties and studying the effects of parameters such as damping valves, accumulators, and pipe diameters on the suspension’s working characteristics.…”

A learning trajectory planning for vibration suppression of industrial robot

“…Ramli et al (2018) designed a real-time unity magnitude zero vibration shaper by using an artificial neural network trained by particle swarm optimization. Ding et al (2021) proposed a pitch-resistant hydraulically interconnected suspension system with a parameter design to suppress the body and tire vibration of the tri-axle truck. Zhang et al (2022) proposed a new collaborative optimization design framework for active suspensions with asymmetric hydraulic actuators to achieve system-level optimal performances.…”