Semi-active vibration control of an eleven degrees of freedom suspension system using neuro inverse model of magnetorheological dampers

Zareh, Seiyed Hamid; Abbasi, Meisam; Mahdavi, Hadi; Osgouie, Kambiz Ghaemi

doi:10.1007/s12206-012-0628-8

Cited by 21 publications

(6 citation statements)

References 16 publications

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“…A flat obstacle in the form of a single set-off is considered. Vehicle data used for the model come from an all-terrain vehicle presented in [10] Table 2. The tuning of FLC has been carried out by adjusting scaling parameters.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Recently, a 7 DoF model, also referred to as the 'full-car model', has become popular [3,5,7,12,15]. There are also publications that use different car models [10]. An 11 DoF model presented by Zareh, [10], includes additionally presence of four passengers.…”

Section: Modellingmentioning

confidence: 99%

“…There are also publications that use different car models [10]. An 11 DoF model presented by Zareh, [10], includes additionally presence of four passengers.…”

Section: Modellingmentioning

confidence: 99%

“…This paper focuses on developing a fuzzy system to control semi-active suspension including a non-linear magnetorheological damper. The suspension is described in the form of a seven-degree-of-freedom model with parameters presented in [10]. Simulation analysis is performed based on data originating from a real all-terrain vehicle available for experiments.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Control for Semi-Active Vehicle Suspension

Kurczyk

Pawełczyk

2013

Journal of Low Frequency Noise, Vibration and Active Control

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In this paper semi-active control of the suspension of an all-terrain vehicle is considered. A seven degree of freedom suspension model is presented first. A fuzzy approach for controller synthesis is then proposed. Expert knowledge is stored in the form of IF-THEN rules. The Takagi-Sugeno inference system is employed, with triangle membership functions. The fuzzy system output is the damper coefficient. In contrary to many other control algorithms, the presented fuzzy algorithm does not require inverse modelling of the magnetorheological damper. Instead, some scaling parameters are set. They can be chosen experimentally, or a bio-inspired strategy can be applied. The fuzzy control is then compared with the Skyhook control in simulations, in terms of road holding and driving comfort indicators. Obtained results are similar. However, lack of necessity to use an MR inverse model allows the fuzzy system to provide successful performance in case of different operating conditions, what is an important benefit.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Modellingmentioning

confidence: 99%

“…There are also publications that use different car models [10]. An 11 DoF model presented by Zareh, [10], includes additionally presence of four passengers.…”

Section: Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy Control for Semi-Active Vehicle Suspension

Kurczyk

Pawełczyk

2013

Journal of Low Frequency Noise, Vibration and Active Control

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“…The MR damper has a property of the friction damper so that the relative magnitude of the friction force over excitation intensity [1] affects the control performance. The simulation work is done on semi active suspension system by using the MR damper as actuator to vary the damping properties of suspension system and to minimize the settling time [2]. The amount of force that is exerted on the occupant is measured by the transmissibility and work done on the vibration isolator proposes the concept of output frequency response function to examine the force transmissibility of MDOF structures with a cubic non-linear viscous damping device [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations of damping characteristic for MR strut by half-power bandwidth method

Yerrawar¹,

Arakerimath²

2018

J. meas. eng.

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In today's automobile, each and every part of vehicle must consider the vibration management. Damping and isolation are the two aspects of vibration management which uses in conjunction to attain the required performance. The Logarithmic decrement method and Bandwidth method are the two major methods for measurement of damping in vibration system. Time domain method is used in Logarithmic decrement whereas the Half power bandwidth method is used in frequency domain analysis. In the present work, quarter car model is used to determine the frequency response analysis of Magnetorheological damper strut. The sprung mass is varying from 82 kg to 132 kg and excitation force is given by cam mechanism which is designed as per the bump size specified by Indian Road Congress (IRC) standard. The fabricated MR damper is tested at different sprung mass with input current from 0.1 A to 0.5 A. It is observed that the damping ratio is varying from 0.04 to 0.21. The results obtained in this paper will be helpful for the Indian auto industry to make more economical and reliable damper strut.

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