Uncertainty modelling of a suspension unit (original) (raw)
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Dynamic Analysis of Models for Suspension Systems of Ground Vehicles with Uncertain Parameters
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Land transportation vehicles have suspension systems to limit the vibrations caused by the movement. The main function of these systems is to maintain the welfare of people (in vehicles or cars) or the integrity and functionality of installed equipment (in robotic platforms). Suspension systems are constituted by damping and elastic components whose properties may have a wide variation due to the geometrical configuration, manufacturing process and assembly protocols. This entails that the dynamic response of the system is not the expected one, which implies a degree of uncertainty although the properties of the components appear to be correctly specified. In this context it is important to characterize the propagation of uncertainty of the response of the system, caused by the uncertainty of its mechanical components: dampers, dash-pots, springs, anti-roll bars, etc. In this paper, the stochastic dynamic response of a suspension platform is analyzed. The mathematical model of the p...
Observation of Automobile Suspension Systems: Modeling and Definition of Parameters
The automotive industry experiences increasing competition in its market and requires alternative strategies to advance its products. To meet this objective, one of the investments auto companies have been exploring into is new and improved suspension systems. Suspension systems not only improve comfort for the driver and performance of the vehicle, but also slows down the wear of the car. This paper discusses the conventional suspension system arrangement involving a static spring and its effects on a vehicle traveling over a bump with given parameters. The study will be further expanded to analyze the appropriate spring and damper constants and relate the effects of the suspension system has on a traveling vehicle.
The suspension is a very important subsystem of a vehicle, as it affects both passenger ride comfort and the handling properties of the vehicle. This paper concentrates on two important aspects of suspension system design. One is the fine-tuning of a passive suspension system design through an optimization study using a virtual suspension system model.The second is the design and testing of an active suspension controller. Both problems are treated here in a computer aided setting using a highly realistic suspension system and a full vehicle model, respectively.
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Suspension systems are designed for the increase in comfort and stability in vehicles while driving. Parameter changes in these systems affect overall performance. Researchers are continuously working on the performance enhancement of suspension systems by designing dampers of variable damping coefficient. In this research work a quarter car model suspension system was developed to demonstrate experimentally the influence of changing the damping coefficient, the stiffness, and the loading level to fully understand the allowable combination of parameters for a smoother ride. A variety of different test scenarios are implemented to the system to observe the variations in damping ratio. The damping ratio of the system found to be dependent on the design of the opening mechanism.The valve opening methods can give different results with the same parameters.
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Comfort, road holding and safety of passenger cars are mainly influenced by an appropriate design of suspension systems. Improvements of the dynamic behaviour can be achieved by implementing semi-active or active suspension systems. In these cases, the correct design of a well-performing suspension control strategy is of fundamental importance to obtain satisfying results. Operational Modal Analysis allows the experimental structural identification in those that are the real operating conditions: Moving from output-only data, leading to modal models linearised around the more interesting working points and, in the case of controlled systems, providing the needed information for the optimal design and verification of the controller performance. All these characters are needed for the experimental assessment of vehicle suspension systems. In the paper two suspension architectures are considered equipping the same car type. The former is a semi-active commercial system, the latter a no...
MODELİNG OF VEHICLE SUSPENSION SYSTEM
Araç süspansiyon sistemlerinin analizlerinin matlab programında kodlama yöntemiyle yapılarak gerekli analiz ve grafik değerleri elde edilmiş ve sonuçlara ulaşılmıştır.Süspansiyon çeşitleri ve detaylarıda bahsedilmiştir.
researchgate.net
The suspension is a very important subsystem of a vehicle as it affects both passenger ride comfort and the handling properties of the vehicle. This paper concentrates on two important aspects of suspension system design. One is the fine tuning of a passive suspension system design through an optimisation study using a virtual suspension system model. The second is the design and testing of an active suspension controller. Both problems are treated here in a computer aided setting using a highly realistic suspension system and a full vehicle model, respectively.
Methodology for Multidisciplinary Optimization of Vehicle Suspension Systems
2015
A manual iterative process is often used in the design process of vehicle suspension systems. This thesis aim to develop a methodology for multidisciplinary optimization of vehicle suspension systems, which can be used to introduce an optimization driven process into the design process of vehicle suspension systems. A Multibody Dynamics (MBD) model of a Strut & Coil Spring suspension system will be used as a test subject. The methodology developed includes concept screening of suspension systems, multi-objective system optimization and weight reduction using structural optimization. The initial concept screening will provide guidance to selection of important design variables. Ride comfort, handling performance, and noise, vibration, and harshness (NVH) are optimized in the multi-objective system optimization, using the Multi-Objective Genetic Algorithm (MOGA) combined with a Design Space Reduction Method (DSRM).