In this paper, the development of a semiactive suspension control of quarter car model using fuzzy-based controller has been done. The quarter car model to be used here can be described as a nonlinear two degrees of freedom system which is subject to excitation from different road profile. The semi-active control is designed as the fuzzy control inferred by using two single input rule fuzzy mod...

An optimal Fractional Order PI λ D μ (FOPID) controller is designed for a full vehicle nonlinear active suspension system. The optimal values of FOPID controller parameters for minimizing the cost function are tuned using an Evolutionary Algorithm (EA), which offers an optimal solution to a multidimensional rough objective function. The fitness parameters of FOPID controller (proportional const...

With the development of technology, new materials have been invented, which have been applied to improve the performance of structures. Recently, researchers pay their attention to controllable fluids and its applications. Magneto rheological (MR) damper is a kind of devices that uses rheological fluids to modify their mechanical properties. Their mechanical simplicity, large dynamic range, low...

Transmission of vibrations into the cabin while driving and general comfort driver is essential for agricultural heavy-duty vehicles. Due to long working hours rough terrain during operation, reduced attention or health problems may occur when significant are transferred from vehicle chassis driver. One modern damping systems which can drastically minimise vibration transmission semi-active sus...

A mechatronic inerter can simulate the equivalent mechanical network through external electrical and be used in a wide range of device design applications. In this paper, we study use to enhance vibration isolation vehicle seat suspensions. Firstly, vertical pitch movements vehicle’s sprung mass are considered half model. Then, is introduced presented. The particle swarm optimization algorithm ...

Active suspension provides better vehicle control and safety on the road with optimal driving comfort compared to passive suspension. Achieving this requires a good system that can adapt any environment. This article uses deep reinforcement learning method develop an neural network meets requirements according ISO 2631-5 standards. The algorithm trains agent without prior knowledge of Various s...