Optimization of automotive suspension system using vibration and noise control for intelligent transportation system

The objective of this work is to carry out a thorough investigation on the optimization of the vehicle suspension system based on vibration and noise management. First, a transfer path analysis is proposed to clarify the weight coefficient of vehicle's suspension system reaction optimization, resulting in an improved suspension system in reaction to optimization objective function to avoid the limitations of traditional vehicle suspension system's reaction optimization and ensure that the natural frequency and decoupling rate objectives will not deteriorated. To complete the optimization of the vehicle suspension system based on vibration and noise management, the variable step size algorithm is utilized to enhance the filtered least mean square method while at the same time, the adaptive algorithm is improved. The strategy put forward in this research has been shown to have a good effect on the optimization of the vehicle's suspension system through experimental verification. This method can effectively enhance the vehicle's overall comfort and stability while increasing operating safety. It is anticipated that it will serve as a valuable resource for future studies in this area.