The paper tackles the theme of evaluating dynamic load increases that the vehicle transfers to the road pavement, due to the generation of vibration produced by surface irregularities. The study starts from the generation, according to the ISO 8608 Standard, of different road roughness profiles characterized by different damage levels. In particular, the first four classes provided by ISO 8608 were considered. Subsequently, the force exchanged between the pavement and three typologies of vehicles (car, bus and truck) has been assessed by implementing, in Matlab®, the QCM (Quarter Car Model) characterized by a quarter vehicle mass and variable speed from 20 to 100 km/h. The analysis allows determining the amount of dynamic overload that causes the vibrational stress. The paper shows how this dynamic overload may be predetermined as a function of the pavements surface degradation. This is a useful reference for the purposes of designing and maintaining road pavements.

https://link.springer.com/content/pdf/10.1007%2Fs12544-013-0127-8.pdf

The vibrations induced by surface irregularities in road pavements – a Matlab ® approach

Much research has gone into developing advanced control algorithms for semi-active suspension. Experimental validation of these control algorithms is critical for their practical applications. This paper investigates a state-observer-based Takagi–Sugeno fuzzy controller (SOTSFC) design for a semi-active quarter-car suspension installed with a magnetorheological (MR) damper and provides proof of the effectiveness of the proposed controller. To conduct the test, a quarter-car test rig and control system hardware were used. Then, a new MR damper was designed and built to fit with the test rig. After that, the SOTSFC for the quarter-car test rig was developed. Finally, several tests were conducted on the quarter-car suspension in order to investigate the real effect of the SOTSFC. It was then compared with the use of a skyhook controller to demonstrate its benefits.

Takagi–Sugeno Fuzzy Control for Semi-Active Vehicle Suspension With a Magnetorheological Damper and Experimental Validation

This brief investigates the performance benefits of using inerter in semiactive suspensions. A novel structure for semiactive suspensions with inerter, which consists of a passive part and a semiactive part, is proposed. Six semiactive suspension struts, each of which employs an inerter in the passive part and a semiactive damper in the semiactive part, are introduced. Two suboptimal control laws named clipped optimal control and steepest gradient control laws are derived to control the damping coefficient in the semiactive part. Extensive simulations with respect to different choices of weighting factors and suspension static stiffnesses are conducted based on both a quarter car model and a full car model. The results show that, compared with the conventional semiactive suspension strut, the overall suspension performance can be significantly improved using inerters, including ride comfort, suspension deflection, and road holding. Comparative studies between these two suboptimal control laws and between these semiactive struts are also carried out to facilitate future practical application of the proposed semiactive suspensions with inerter.

Performance Benefits of Using Inerter in Semiactive Suspensions

Comfort-oriented vehicle suspension design with skyhook inerter configuration

Adaptive tracking control for active suspension systems with non-ideal actuators

In this work we review two of the most commonly adopted methods, namely shaping filter and sinusoidal approximation, for generating one-dimensional random road profiles, that are used in the simulation of a quarter car (or half car) vehicle suspension control system. The major contribution of this work is the following: for the shaping filter method, it is found that the time constant of the first order transfer function generating the road profile is independent of the grade of road. While for the sinusoidal approximation method, a detail derivation of the amplitude of each sinusoidal function is re-derived for completeness.

Generation of Random Road Profiles

This work implements the co-simulation of ”RecurDyn” and ”Simulink” to study a closed-loop system of half-car suspension with magnetorheological (MR) damper. From the perspective of developing a control system, it is easy to construct the whole system via RecurDyn without deriving equations of motion for the half-car suspension system. In addition the MR damper is built as a subsystem thereby posses portability. Through a numerical example, the effectiveness of co-simulation of RecurDyn and Simulink in reducing the period of time of developing a satisfactory controller for the suspension system is demonstrated.

Modeling and Simulation of Half Car Suspension System with a MR Damper Using RecurDyn and Simulink

In this work, we extend and study the implementation of H(subscript ∞) output feedback controller to a vehicle suspension system with magnetorheological fluid (MRF) damper. In the closed-loop suspension system, the H(subscript ∞) controller serves as a system controller to provide the necessary robustness, however, in most of the cases, the controller gain is high. This makes the damper controller, which issues input currents to control the MR damper, hard to track the desired damping force. To this end, an augmented filter is proposed to remedy this issue. Although in the augmented filter, full system states are required in one of the term, while through numerical experiments, we found that this term can be ignored without sacrificing noticeable performance

Feng Tyan

Papers

Generation of Random Road Profiles

Modeling and Simulation of Half Car Suspension System with a MR Damper Using RecurDyn and Simulink

Semi-Active Augmented H(subscript ∞) Control of Vehicle Suspension Systems with MR Dampers