Controller design for vehicle stability enhancement

Zheng, Shuibo; Tang, Houjun; Han, Zhengzhi; Zhang, Yong

doi:10.1016/j.conengprac.2005.10.005

Cited by 170 publications

(110 citation statements)

References 4 publications

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“…The objective of observer design is to find L i such that the H ∞ norm of ow T , which denotes the closed-loop transfer function from the steering input w to the control output z o (estimation error e) and is defined as On the other hand, to realise good handling and stability, the sideslip angle and the yaw rate need to be controlled to the desired values. Generally, the desired sideslip angle is given as zero and the desired yaw rate is defined in terms of vehicle speed and steering input angle (Zheng, 2006). For simplicity, we only consider to control sideslip angle as small as possible, which in most cases can also lead to satisfied yaw rate.…”

Section: Observer Based Robust Controller Designmentioning

confidence: 99%

Robust Vehicle Stability Control Based on Sideslip Angle Estimation

Du¹,

Zhang²

2011

Robust Control, Theory and Applications

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Section: Observer Based Robust Controller Designmentioning

confidence: 99%

Robust Vehicle Stability Control Based on Sideslip Angle Estimation

Du¹,

Zhang²

2011

Robust Control, Theory and Applications

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“…Under such conditions, controlling longitudinal tire forces is an effective method to maintain the stability of the vehicle's lateral motion. 22 The transverse distribution of the vehicle's braking force between the wheels is the most common approach to generate the required yaw moment. 23 In summary, this article uses a unilateral wheel braking strategy: braking on one side wheels includes the front and rear wheels at the same time.…”

Section: Additional Yaw Moment Allocation Strategymentioning

confidence: 99%

Study on electronic stability program control strategy based on the fuzzy logical and genetic optimization method

Jin

Xie

Shen

et al. 2017

Advances in Mechanical Engineering

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This article introduces the b phase plane method to determine the stability state of the vehicle and then proposes the electronic stability program fuzzy controller to improve the stability of vehicle driving on a low adhesion surface at high speed. According to fuzzy logic rules, errors between the actual and ideal values of the yaw rate and sideslip angle can help one achieve a desired yaw moment and rear wheel steer angle. Using genetic algorithm, optimize the fuzzy controller parameters of the membership function, scale factor, and quantization factor. The simulation results demonstrate that not only the response fluctuation range of the yaw rate and sideslip angle, but also the time taken to reach steady state are smaller than before, while reducing the vehicle oversteer trend and more closer to neutral steering. The optimized fuzzy controller performance has been improved.

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“…For instance, Rahmani Hanzaki et al proposed a methodology for dynamic analysis of a multibody system with spherical joints. They considered a suspension system of a vehicle as an example for that [41]. Applying this methodology on a threeaxle truck complicates the calculation.…”

Section: Introductionmentioning

confidence: 99%

Modeling a Three-axle Truck and Vibration Analysis under Sinusoidal Road Surface Excitation

Zeidi¹,

Hoseini²,

Rahmani³

2017

IJSEA

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Abstract:In this research, ride quality of a multi-degree of freedom 3-axle rigid truck is investigated to understand its vibration specifications. The truck is a Benz 2624 model. The system is considered for an off-road duty. Current research concentrates on the modeling and simulating the truck. The linear model indicates cab and seat suspensions, rigid live axles, and suspension geometries. The Lagrange's equation is used to obtain the motion equations and system matrices, and the numerical central difference method is utilized to obtain the system responses subject to sinusoidal road excitations. Since physical parameters of the vehicle were not available, the truck is modeled in Solidworks CAD software to obtain the dynamic properties of its components. Then, a code is developed in MATLAB to calculate system time responses under different cases for the truck moving in high speed. The developed model can also be used in newer truck with some modifications. It is also necessary to have accurate information for input data in order to change the current model.

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Controller design for vehicle stability enhancement

Cited by 170 publications

References 4 publications

Robust Vehicle Stability Control Based on Sideslip Angle Estimation

Robust Vehicle Stability Control Based on Sideslip Angle Estimation

Study on electronic stability program control strategy based on the fuzzy logical and genetic optimization method

Modeling a Three-axle Truck and Vibration Analysis under Sinusoidal Road Surface Excitation

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