scholarly journals Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input

2021 ◽  
Vol 22 ◽  
pp. 17
Author(s):  
Ali Shahabi ◽  
Amir Hossein Kazemian ◽  
Said Farahat ◽  
Faramarz Sarhaddi
Keyword(s):  
Dynamic Behavior ◽  
Fuzzy Controller ◽  
Surface Condition ◽  
Road Surface ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
The Road ◽  
Optimal Value

In this study, the vehicle's dynamic behavior during braking and steering input is investigated by considering the quarter-car model. The case study for this research is a Sport-Utility Vehicle (SUV) with the anti-lock braking system (ABS) and nonlinear dynamic equations are considered for it along with Pacejka tire model. Regulating the wheel slip ratio in the optimal value for different conditions of the road surface (dry, wet and icy) during braking is considered as the ABS control strategy. In order to regulating the wheel slip ratio in the optimal value, an intelligent adaptive fuzzy controller that can perform online parameter estimation is considered. In this regard, the proposed controller tracks the optimal wheel slip ratio with changing the condition of the road surface from dry to wet and icy. The adaptive fuzzy controller consists of linguistic base, inference engine and defuzzifier section. The wheel slip ratio and vehicle longitudinal acceleration are selected as inputs of the controller, controller adapter and detector of the road surface condition. During braking and steering input, effective parameters of the wheel that are affected on the vehicle's dynamic behavior and its stability are investigated.

scholarly journals System for investigation of friction properties of the road surface

2015 ◽  
Vol 10 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Janusz Pokorski ◽  
Andrzej Reński ◽  
Hubert Sar
Keyword(s):  
Friction Force ◽  
Measurement System ◽  
Great Influence ◽  
Weather Conditions ◽  
Road Surface ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Adhesion Coefficient ◽  
The Road ◽  
Friction Parameters

Friction properties of the road surface have a great influence on the safety of automobile motion. These properties are characterized by the tyre-to-road adhesion coefficient, which is measured during the routine and acceptance investigations of roads. In the paper, the method of measurement of this coefficient is presented. For investigation of the tyre-to-road adhesion coefficient the special measurement system was developed. The main part of the system is dynamometer trailer, which makes it possible to measure the friction force between tyre and road surface. The adhesion coefficient as a quotient of the friction force and vertical load is a result of measurements. Additionally the system enables to determine the graph of the adhesion coefficient as a function of wheel slip ratio. In the paper a description of the measurement system and a principle of its operation are presented. Exemplary results of tyre-to-road adhesion coefficients measured on different roads are also presented. The results show many differences between these coefficients in dependence of road upper layer technology, degree of its wear, weather conditions, sliding velocity and others. The system originally designed for investigation of friction parameters of road surfaces can have much wider applications, for example in tyre investigations, for automotive experts, in the work of judgment witnesses and others.

Adaptive fuzzy controller based MPPT for photovoltaic systems

2014 ◽  
Vol 78 ◽  
pp. 843-850 ◽  
Author(s):  
Ouahib Guenounou ◽  
Boutaib Dahhou ◽  
Ferhat Chabour
Keyword(s):  
Fuzzy Controller ◽  
Photovoltaic Systems ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy

Improved A* Algorithm based on Node Expansion and Adaptive Fuzzy Controller

2021 ◽  
Author(s):  
Wenlu Meng ◽  
Weijie Li ◽  
Ye Jin ◽  
Huanyu Qi ◽  
Ming Yue
Keyword(s):  
Fuzzy Controller ◽  
A Algorithm ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy

scholarly journals Pavement State Recognition Method Considering Slope

2021 ◽  
Vol 2113 (1) ◽  
pp. 012080
Author(s):  
Xiuhao Xi ◽  
Jun Xiao ◽  
Qiang Zhang ◽  
Yanchao Wang
Keyword(s):  
Surface Condition ◽  
Lateral Force ◽  
Longitudinal Force ◽  
Operating Conditions ◽  
Road Surface ◽  
Tire Model ◽  
State Recognition ◽  
Adhesion Coefficient ◽  
The Road ◽  
Real Time Tracking

Abstract For the problem of road surface condition recognition, this paper proposes a real-time tracking method to estimate road surface slope and adhesion coefficient. Based on the fusion of dynamics and kinematics, the current road slope of the vehicle which correct vertical load is estimated. The effect of the noise from dynamic and kinematic methods on the estimation results is removed by designing a filter. The normalized longitudinal force and lateral force are calculated by Dugoff tire model, and the Jacobian matrix of the vector function of the process equation is obtained by combining the relevant theory of EKF algorithm. The road adhesion coefficient is estimated finally. The effectiveness of the algorithm is demonstrated by analyzing the results under different operating conditions, such as docking road and bisectional road, using a joint simulation of Matlab/Simulink and Carsim.

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