scholarly journals Design of integrated wheel slip-skid factor and vehicle side slip angle using mamdani fuzzy control

2016 ◽  
Author(s):  
Herman M. Kaharmen ◽  
Djoko Kustono ◽  
Waras Kamdi ◽  
Tuwoso ◽  
Poppy Puspitasari
Keyword(s):  
Fuzzy Control ◽  
Slip Angle ◽  
Wheel Slip ◽  
Side Slip Angle

The Control of the Braking Stability of Active Rear Wheel Steering Vehicle Based on LQR

2013 ◽  
Vol 416-417 ◽  
pp. 909-913
Author(s):  
Qi Jia Liu ◽  
Si Zhong Chen
Keyword(s):  
Slip Rate ◽  
Linear Quadratic Regulator ◽  
Rear Wheel ◽  
Front Wheel ◽  
Slip Angle ◽  
Linear Quadratic ◽  
Wheel Slip ◽  
Side Slip Angle ◽  
Braking Distance ◽  
Lock Mode

The aim of this article is to improve the brake stability of active rear wheel steering vehicle. The optimal theory of linear quadratic regulator is used to construct a controller, and the aim of the controller is to maintain the side slip angle is zero, and the control parameter is set according to the change of velocity when braking. An antilock brake model based on the door limit of wheel slip rate is constructed. The analysis is carried on a front wheel steering vehicle, which has two kinds of unti-lock mode. Meanwhile, an active rear wheel steering vehicle with two kinds of unti-lock mode is performed, also. All tests are performed on the bisectional road. The results of analysis show that the active rear wheel steering vehicle using the anti-lock mode of four wheels independent control can give the shortest braking distance, the smaller side slip angle and the smaller deviation from the lane. So it can give more contribution to the braking safety.

Vehicle Motion Stability With Two Vehicle Dynamics Models

2011 ◽  
Author(s):  
Jingliang Li ◽  
Jingang Yi
Keyword(s):  
Vehicle Dynamics ◽  
Rear Wheel ◽  
Slip Angle ◽  
State Variables ◽  
Wheel Slip ◽  
Side Slip Angle ◽  
Lateral Dynamics ◽  
Vehicle Maneuver ◽  
The Stability ◽  
Dynamics Models

We present and compare vehicle maneuver stability under two vehicle dynamics models, one with the rear tire slip angle dynamics and the other with the vehicle side slip angle dynamics. Instead of using vehicle mass center side slip angle, we consider to use rear axial slip angle as one of the state variables for studying vehicle lateral dynamics. Using rear wheel slip angle as a state variable for studying vehicle dynamics has been reported in practices in industry but not rigorously studied. We analyze the new vehicle dynamics and compare the stability results with existing reported results. Both analytical and numerical results have shown that the stability region of the vehicle dynamics by using the rear slip angle is less conservative comparing with using the vehicle side slip angle.

Slip parameter estimation of a single wheel using a non-linear observer

Robotica ◽  
2008 ◽  
Vol 27 (6) ◽  
pp. 801-811 ◽  
Author(s):  
Z. B. Song ◽  
L. D. Seneviratne ◽  
K. Althoefer ◽  
X. J. Song ◽  
Y. H. Zweiri
Keyword(s):  
Sliding Mode ◽  
Kinematic Model ◽  
Variable Structure ◽  
Lyapunov Stability Theory ◽  
Sliding Mode Observer ◽  
Slip Angle ◽  
Wheel Slip ◽  
Variable Structure System ◽  
Non Linear ◽  
Linear Observer

SUMMARYSliding mode observer is a variable structure system where the dynamics of a nonlinear system is altered via application of a high-frequency switching control. This paper presents a non-linear sliding mode observer for wheel linear slip and slip angle estimation of a single wheel based on its kinematic model and velocity measurements with added noise to simulate actual on-board sensor measurements. Lyapunov stability theory is used to establish the stability conditions for the observer. It is shown that the observer will converge in a finite time, provided the observer gains satisfy constraints based on a stability analysis. To validate the observer, linear and two-dimensional (2D) test rigs are specially designed. The sliding mode observer is tested under a variety of conditions and it is shown that the sliding mode observer can estimate wheel slip and slip angle to a high accuracy. It is also shown that the sliding mode observer can accurately predict wheel slip and slip angle in the presence of noise, by testing the performance of the sliding mode observer after adding white noise to the measurements. An extended Kalman filter is also developed for comparison purposes. The sliding mode observer is better in terms of prediction accuracy.

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