This paper presents the design of an indirect adaptive feedback linearization (FBL)based control using dynamic neural networks (DNN) for full-car nonlinear electrohydraulic suspensions. Particle swarm optimization (PSO) algorithm is used in training the DNN to learn the dynamics of the system. A multi-loop, PSO-optimized proportional-integral-derivative (PID) control is implemented for the feed...

This paper introduces a novel method to control the operation of active suspension system. In this research, quarter-dynamic model is used simulate vehicle’s vibrations. Besides, sliding mode-PID-integrated algorithm with five state variables proposed be used. completely original and algorithm. The process establishing clearly described. simulation performed by MATLAB software. results have sho...

This paper introduces a class of passive interconnected suspensions, defined mathematically in terms of their mechanical admittance matrices, with the purpose of providing greater freedom to specify independently bounce, pitch, roll, and warp dynamics than conventional (passive) suspension arrangements. Two alternative realization schemes are described that are capable of implementing this clas...

In an automotive system, the vehicle suspension usually contributes to the vehicle's handling and braking for good active safety and driving pleasure and keeps the vehicle occupants comfortable and reasonably well isolated from road noise, bumps and vibrations. The design of vehicle suspension systems is an active research field in automotive industry (Du and Zhang, 2007; Guglielmino, et al., 2...

In this paper, a hybrid particle swarm optimization genetic algorithm LQR controller is used on quarter car model with an active suspension system. The proposed control utilized to overcome the shortcoming that weight matrix Q and R determined by experience in traditional method. method makes it possible achieve optimal effect. A full-order state observer observe of suspension. road input are p...

Purpose – The purpose of this paper is to evaluate the locomotion performance of all-terrain rovers employing rocker-type suspension system. Design/methodology/approach – In this paper, a robot with advanced mobility features is presented and its locomotion performance is evaluated, following an analytical approach via extensive simulations. The vehicle features an independently controlled four...

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR used in system was tested and analyzed. Based experimental data, genetic algorithm identify parameters of improved hyperbolic tangent model, which derived damper. At same time, an adaptive neur...