Ride Comfort Simulation of a Vehicle Equipped With Semi-Active Steering System

Maharun, M.; Baharom, Masri B.; Mohd, M.S.

doi:10.15282/ijame.11.2015.29.0210

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…In addition, considering the complexity of indoor and outdoor tests to evaluate braking performance, it encourages automotive engineers to carry out different computergenerated simulations [17]. As stated in the objectives for this study, brake pedal force is the crucial element for this simulation to estimate braking distance under different vehicle GVW and speeds as influential factors.…”

Section: Methodsmentioning

confidence: 99%

Dynamic simulation of brake pedal force effect on heavy vehicle braking distance under wet road conditions

Zamzamzadeh¹,

Saifizul²,

Ramli³

et al. 2016

Int. J. Automot. Mech. Eng.

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Recent experiences have shown that one of the main causes of heavy vehicle crashes is the braking performance. In particular, when having to decelerate in an emergency situation, such as when an unexpected object is in the road. Thus, the capability of a vehicle to come to a safe stop is one of the most important factors in preventing more accidents. Safe braking distance is influenced by many factors, such as brake pedal force, the vehicle's loading conditions, the travel speed and the road surface conditions. The aim of this study was to analyse the effect of the driver's brake pedal force on braking distance during an emergency situation, allowed for a wide range of heavy vehicle's GVW and speed. This study is carried out by using a multi-body dynamics simulation of a Single Unit Truck based on the validated vehicle model. Braking performance was estimated in terms of braking distance on a straight road with a wet surface. The findings from the braking distance simulation suggest a non-linear relationship between brake pedal force and braking distance. Finally, it reveals that, depending on the wheel lock-up situation, braking distance increases with increasing brake pedal force, and that the braking distance on a wet road is significantly affected by both the heavy vehicle's GVW and speed.

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Section: Methodsmentioning

confidence: 99%

Dynamic simulation of brake pedal force effect on heavy vehicle braking distance under wet road conditions

Zamzamzadeh¹,

Saifizul²,

Ramli³

et al. 2016

Int. J. Automot. Mech. Eng.

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“…Fully-automatic SbW is an SbW system that does not use a steer wheel to determine the direction of the wheel but uses programmatic trajectory [4], [5] global positioning system (GPS) technology [6], [7] or using line tracer [8], [9]. While the semi-automatic SbW is an SbW system that uses a steer wheel and is equipped with an angle sensor as a control system input to determine the direction of the front wheels of the vehicle [10], [11]. The advantage of using semi-automatic from SbW is that the ratio between the angle of the steer wheel to the angle of the front wheel of the vehicle can be set variably as a function of speed and technically the position or place of the steer wheel is very flexible can be changed in its placement.…”

Section: Introductionmentioning

confidence: 99%

Semi-automatic of steer by wire system using fuzzy logic control and swarm optimization

Hunaini,

Nafis,

Suwandono

et al. 2023

IJPEDS

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<span lang="EN-US">The semi-automatic steer by wire system is a vehicle steering system that does not use a mechanical link but uses an electric drive, so that the steer wheel is equipped with an angle sensor as a control system input to adjust the electric drive rotation when determining the direction of the front wheels of the vehicle. The control system uses fuzzy logic control (FLC) is optimized using swarm-based optimization. Performance testing of the optimal control system is carried out using Software in the loop simulations and hardware in the loop simulations which were then applied to the steering system prototype equipped with rack-pinion and wheel steer. The test results show that the optimal control system performance reaches a C-RMS error of 6.712. The prototype that was built has two kinds of ratios between the steering angle and the vehicle wheel angle, namely a ratio of 1:6.25 for speeds below 10 km/h making it suitable for operation when the vehicle is maneuvering in the parking area and a ratio of 1:25 for speeds above 10 km/h which is suitable for operation when the vehicle is traveling at medium or high speed.</span>

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“…However, a lighter chassis structure will cause the structural resonance within the typical rigid body vibration to easily occur due to induced dynamic forces by road irregularities, engine, and other loads. This situation can result in riding discomfort and problems in ride safety and stability [5][6][7][8]. Computer based analysis techniques such as the finite element method proves to be a reliable tool in engineering design and product development [9].…”

Section: Introductionmentioning

confidence: 99%

Dynamics properties of a Go-kart chassis structure and its prediction improvement using model updating approach

Abdullah

Sani

Husain

et al. 2017

Int. J. Automot. Mech. Eng.

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Model updating is concerned about the correction of finite element models by processing the record of dynamic response from test structures in order to have an accurate model for any simulated analysis. Finite element model updating had emerged years ago as an important subject in structural dynamics. It has been used frequently and has been successfully applied to many fields especially in detecting the dynamic stiffness of a structure. The purpose of this study is to perform model updating of a go-kart chassis structure in order to reduce the percentage of error between the experimental modal analysis (EMA) and finite element analysis (FEA). Modal properties (natural frequency, mode shapes, and damping ratio) of the go-kart chassis structure were determined using both EMA and FEA. Correlation of the modal parameters gathered in FEA and EMA was carried out before optimizing the data from finite element. By adjusting the selective parameters, incongruities between those two analyses are generally reduced. The sensitivity of selected parameters is also obtained. The significant reduction in percentage of error before and after model updating procedure was carried out in this study clearly shows that model updating technique is a reliable method in reducing the discrepancies between EMA and FEA. Therefore, in cases of high discrepancies between analytical and actual test data, model updating can be considered as an option in order to obtain better correlation between those two sets of data.

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Ride Comfort Simulation of a Vehicle Equipped With Semi-Active Steering System

Cited by 5 publications

References 12 publications

Dynamic simulation of brake pedal force effect on heavy vehicle braking distance under wet road conditions

Dynamic simulation of brake pedal force effect on heavy vehicle braking distance under wet road conditions

Semi-automatic of steer by wire system using fuzzy logic control and swarm optimization

Dynamics properties of a Go-kart chassis structure and its prediction improvement using model updating approach

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