Semi-active suspension system simulation using Simulink

Abstract

This paper describes a simulation design procedure aimed to achieve improved performance of the vehicle semi-active suspension. The issues related to the design of vehicle models with skyhook control are discussed. Three basic models with linear parameters are explained: quarter-, half-and full-car. The road profile is generated from a spatial power spectral density (PSD) to represent a typical road (based on ISO 8608 classification). The normalized root-mean-square values of sprung mass acceleration and tyre load forces are used to assess the vehicle ride comfort and handling performance based on five benchmark road profiles employed in industrial tests.

Heavy trucks with intelligent control of active suspension based on artificial neural networks

“…Following our experience in the application of ANNs in the field of mechanical engineering, 42,43 these vehicle responses and their corresponding road profiles are processed and used to create and train the ANN. 44 The simulation results demonstrate that the proposed ANN controller can indeed provide a good ride whatever the state of the road and make an excellent compromise between passenger comfort and handling despite dynamic uncertainties. ANN architectures have been designed regarding the number of neurons and hidden layers to achieve a higher coefficient of determination and minimum mean square error.…”

“…Ride comfort depends on human perceptions of vehicle noise, vibration, and motion. While it varies from person to person, a quantitative evaluation of the ride comfort performance (RCP) can be carried out following the methodology provided by Abramov et al 44 and that the RMS is defined by equation ( 1), of the sprung mass acceleration normalized by the gravity acceleration g…”

Comparison between different sets of suspension parameters and introduction of new modified skyhook control strategy incorporating varying road condition

“…Spatial frequency is expressed as the wave-number with units of cycles/metre and is the inverse of the wavelength of the sine wave on which it is based. The drop in magnitude is modelled by the waviness ω. ISO standards suggest ω = 2 for road undulations [45]. In this study, three classes of roads are used as defined by ISO8608 [46] and their P(n 0 ) values are given in Table 3.…”

“…While it varies from person to person, a quantitative evaluation of the ride comfort performance (RCP) can be carried out following the methodology provided by Abramov and Olivier Durieux [45] and that is, the RMS value of the sprung mass accelerationz 2 , normalised with respect to the gravity acceleration g,…”

“…Then the vehicle's road handling performance (RHP) can be calculated by the RMS values of these forces normalised with respect to the static forces acting on the wheels. The static forces are represented as (m 1 + m 2 )g [45],…”