Fuzzy control for a semi-active vehicle suspension with a magnetorheological damper

Félix-Herrán, Luis C.; Soto, Rogelio; Rodríguez-Ortiz, J. de J.; Ramírez-Mendoza, Ricardo A.

doi:10.23919/ecc.2009.7075092

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…al. [16] Modeling and Control for a semi-active suspension with Magneto Rheological Damper Including the Actuator Dynamics, Septmber 30, 2008-October 3, 2008) are given in Table 2.…”

Section: A Comparative Analysis Of Linear and Nonlinear Semi-active Smentioning

confidence: 99%

A Comparative Analysis of Linear and Nonlinear Semi-Active Suspension System

Ahmad

Khan

2018

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

The ride quality including comfort and safety is the primary factor that is targeted in the design of an effective suspension system. The parametric behavior of suspension system is non-linear but for simplicity most of the researchers have assumed it as linear. The emphasis of this study is to analyze the non-linear behavior of basic components of the suspension system. Anon-linear mathematical model for semi-active suspension system equipped with MR (Magnetorheological) damper is developed based on a two degrees of freedom quarter vehicle model. Matlab/Simulink is used for simulation of the proposed model for different types of road disturbances. Transient response characteristics of the proposed non-linear model is compared with linear semi-active suspension model which show the difference between the responses of these models.

show abstract

“…al. [16] Modeling and Control for a semi-active suspension with Magneto Rheological Damper Including the Actuator Dynamics, Septmber 30, 2008-October 3, 2008) are given in Table 2.…”

Section: A Comparative Analysis Of Linear and Nonlinear Semi-active Smentioning

confidence: 99%

A Comparative Analysis of Linear and Nonlinear Semi-Active Suspension System

Ahmad

Khan

2018

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

show abstract

An ARX Model-Based Predictive Control of a Semi-Active Vehicle Suspension to Improve Passenger Comfort and Road-Holding

et al. 2021

View full text Add to dashboard Cite

Passenger comfort and vehicle stability are key aspects that must be guaranteed on ground vehicles, and semi-active suspensions have offered an outstanding solution to meet these opposite objectives. This contribution describes a novel autoregressive with exogenous input (ARX) model-based predictive control strategy handled by a driver block applied on a semi-active vehicle suspension to improve passenger comfort and road holding when compared against a passive vehicle suspension system and another more complex control designs reported in the literature. The ARX model employs a driver block to reduce the computational load of the closed-loop semi-active suspension. In addition, the controller’s formulation and the case study consider the actuator’s physical constraints to achieve more realistic results. This case-study includes a one-quarter semi-active suspension with two degrees-of-freedom, and the numerical data comes from a real magnetorheological damper characterization. The results, in frequency-domain and time-domain, are measured based on specific performance criteria. A substantial improvement against a passive suspension is quantified and discussed. For a broader perspective of the findings, the results are compared against another reported work. This research effort could be the basis of further studies to achieve more robust solutions such as adaptive/optimal predictive controllers to improve vehicle’s comfort and stability.

show abstract

A Review on Vibration Control Strategies Using Magnetorheological Materials Actuators: Application Perspective

et al. 2023

View full text Add to dashboard Cite

Magnetorheological (MR) materials are a group of smart materials used in new technologies with controlled reliability. The development of these materials is expanding, starting from MR fluids, elastomers, grease, and gel. This large number of material types further expands the various applications of MR materials as a creative technology to support performance enhancement. For example, MR fluid is used to improve the performance of shock absorbers such as vehicle suspension, the damping of building structures, and polishing of the workpiece. MR elastomers are used for engine mounting, insulation base, and many other applications with intelligent material properties such as stiffness controllability. However, there are still complexities in the practical implementation of the control system beyond reliability. Many previous studies have focused on the performance improvement and reliability of MR materials as smart materials for application devices and systems. In this review article, the specific discussion related to vibration control strategies in MR material-based systems was thoroughly investigated. To discuss this point, many MR applications including transportation system and vibration isolation were adopted using different types of control strategies. Many different control strategies that have been used for MR applications such as fuzzy logic control, optimal control, and skyhook control are discussed in-depth in terms of the inherent control characteristics of merits and demerits.

show abstract

Fuzzy control for a semi-active vehicle suspension with a magnetorheological damper

Cited by 3 publications

References 12 publications

A Comparative Analysis of Linear and Nonlinear Semi-Active Suspension System

A Comparative Analysis of Linear and Nonlinear Semi-Active Suspension System

An ARX Model-Based Predictive Control of a Semi-Active Vehicle Suspension to Improve Passenger Comfort and Road-Holding

A Review on Vibration Control Strategies Using Magnetorheological Materials Actuators: Application Perspective

Contact Info

Product

Resources

About