Traction control based on wheel slip tracking of a quarter-vehicle model with high-gain observers

2021 ◽  
Author(s):  
Duc Thinh Le ◽  
Dat Thinh Nguyen ◽  
Nam Duong Le ◽  
Tung Lam Nguyen
Keyword(s):  
High Gain ◽  
Vehicle Model ◽  
Wheel Slip ◽  
Traction Control

Drive and Brake Joint Control of Acceleration Slip Regulation Road Test

2014 ◽  
Vol 971-973 ◽  
pp. 454-457
Author(s):  
Gang He ◽  
Li Qiang Jin
Keyword(s):  
Front Wheel ◽  
Driving Ability ◽  
Joint Control ◽  
Test Results ◽  
Road Test ◽  
Wheel Slip ◽  
Traction Control ◽  
Wheel Drive ◽  
Driving Wheel ◽  
Independent Design

Based on the independent design front wheel drive vehicle traction control system (TCS), we finished the two kinds of working condition winter low adhesion real vehicle road test, including homogenous pavement and separate pavement straight accelerate, respectively completed the contrastive experiment with TCS and without TCS. Test results show that based on driver (AMR) and brake (BMR) joint control ASR system worked reliably, controlled effectively, being able to control excessive driving wheel slip in time, effectively improved the driving ability and handling stability of vehicle.

Vehicle Traction Control: Variable-Structure Control Approach

1991 ◽  
Vol 113 (2) ◽  
pp. 223-230 ◽  
Author(s):  
Han-Shue Tan ◽  
Yuen-Kwok Chin
Keyword(s):  
Sliding Mode ◽  
Control Variable ◽  
Sufficient Conditions ◽  
Variable Structure ◽  
Lyapunov Stability Theory ◽  
Vehicle Model ◽  
Control Laws ◽  
Traction Control ◽  
Control Approach ◽  
Structure Control

A longitudinal one-wheel vehicle model is described for both anti-lock braking and anti-span acceleration. Based on this vehicle model, sufficient conditions for applying sliding-mode control to vehicle traction are derived via Lyapunov Stability Theory. With the understanding of these sufficient conditions, control laws are designed to control vehicle traction. Both the sufficient conditions and the control laws are verified using computer simulations.

Instability detection of the tire-road contact and torque control for wheel-individual driven vehicles

2018 ◽  
Vol 66 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Peter Speth ◽  
Andreas Hummler ◽  
Michael Buchholz ◽  
Klaus Dietmayer
Keyword(s):  
Torque Control ◽  
Stability Conditions ◽  
Combustion Engines ◽  
Tire Model ◽  
Adaptive Kalman Filter ◽  
Wheel Slip ◽  
Traction Control ◽  
Electrical Vehicles ◽  
Sensor Information ◽  
The Stability

Abstract Traction control for vehicles with wheel individual drives is a challenging task, since the wheel slips are unknown when each wheel transfers a torque. This contribution presents an approach which deals with this problem especially for electrical vehicles, where the drive torques can be changed very fast in comparison to vehicles with combustion engines. The algorithm is based on two filters. The first filter is an adaptive Kalman filter which is used to detect fast changes in the stability conditions of the wheels. The filter also delivers a valuation for the torque to which the drive torque has to be reduced to get the wheel stable again. The second filter estimates the wheel slip. It is based on a simplified expression of the slip dynamics in combination with a special reset strategy for low slip situations. This filter allows detection of slow changes in the stability conditions. All filters are wheel individual and use only standard sensor information. No tire model is needed for the filters to work. A simple reflexive traction controller, which is based on a state machine, computes the drive torques in dependence on the stability criteria based on the filter outputs.

Consideration of wheel slip and readhesion control for induction traction motor electric locomotives with individual traction control

2009 ◽  
Vol 169 (3) ◽  
pp. 56-64 ◽  
Author(s):  
Ikuo Yasuoka ◽  
Yasufumi Mochizuki ◽  
Shin-Ichi Toda ◽  
Yosuke Nakazawa ◽  
Gao Hongguang ◽  
...  
Keyword(s):  
Wheel Slip ◽  
Traction Motor ◽  
Traction Control

A model-based traction control strategy non-reliant on wheel slip information

2011 ◽  
Vol 49 (8) ◽  
pp. 1245-1265 ◽  
Author(s):  
Joško Deur ◽  
Danijel Pavković ◽  
Gilberto Burgio ◽  
Davor Hrovat
Keyword(s):  
Control Strategy ◽  
Wheel Slip ◽  
Traction Control ◽  
Model Based

Advanced Traction Control System for Motorbikes

2013 ◽  
Author(s):  
Juan J. Castillo ◽  
Juan A. Cabrera
Keyword(s):  
Parameter Estimation ◽  
Control System ◽  
Estimation Algorithm ◽  
Wheel Slip ◽  
Traction Control ◽  
Traction Control System ◽  
Road Friction ◽  
Control Wheel ◽  
Further Development ◽  
Road Friction Coefficient

Traction control systems are a fundamental active safety equipment of vehicles; they control wheel slip when excessive torque is applied on driving wheels, helping the driver to bring the vehicle under control and improving handling and stability when starting or accelerating and especially under poor or slippery road conditions. The aim of this work is to develop a parameter estimation block for further development of an intelligent traction control system. To evaluate the performance of the proposed estimation algorithm, estimated variables are compared making use of BikeSim 2.0 ®. Parameter estimation was performed using an extended Kalman filter optimized using genetic algorithms. Using an artificial neural network, the slip that maximizes the tire-road friction coefficient is identified.

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