This paper focuses on the implementation on a test vehicle of a tire slip rate controller, based on fuzzy logic method. The slip rate is controlled by regulating the braking pressure on each wheel via an ESP hydraulic unit. The slip rate is estimated via a vehicle velocity observer. Simulation and experimental results show that the tire slip rates are maintained around a target value within an acceptable error margin. The next step consists in integrating driver assistance systems to command this controller
To improve the driving performance and the stability of the electric vehicle, a novel acceleration s...
This project aims at proposing an innovative way to implement the concept of fuzzy logic to an ABS m...
Anti-lock Braking System (ABS) is used in automobiles to prevent slipping and locking of wheels afte...
International audienceThis paper focuses on the implementation on a test vehicle of a tire slip rate...
M.Ing.Adaptive traction control can greatly enhance the mobility of vehicles on varying road surface...
In this study, the vehicle's dynamic behavior during braking and steering input is investigated by c...
This paper presents fuzzy logic traction controllers and their effect on longitudinal vehicle platoo...
Vehicle which are turning or maneuvering at high speeds are susceptible to sliding and subsequently ...
Optimal wheel slip ratio control is the key issue in an anti-lock braking system (ABS). Due to the u...
Anti-blocking system (ABS) brake controllers pose unique challenges to the designer: a) For optimal ...
This paper presents an active slip control system (ASCS) for a four-wheel drive electric vehicle (EV...
Abstract—The application of fuzzy-based control strategies has recently gained enormous recognition ...
A new solution for preventing slippage in heavy duty off road vehicles with hydrostatic power transm...
Replicated with permission by SAE Copyright © 2017 SAE International. Further distribution of this ...
The design strategy of an adaptive Proportional-Integral-Derivative (PID)-like fuzzy controller for ...
To improve the driving performance and the stability of the electric vehicle, a novel acceleration s...
This project aims at proposing an innovative way to implement the concept of fuzzy logic to an ABS m...
Anti-lock Braking System (ABS) is used in automobiles to prevent slipping and locking of wheels afte...
International audienceThis paper focuses on the implementation on a test vehicle of a tire slip rate...
M.Ing.Adaptive traction control can greatly enhance the mobility of vehicles on varying road surface...
In this study, the vehicle's dynamic behavior during braking and steering input is investigated by c...
This paper presents fuzzy logic traction controllers and their effect on longitudinal vehicle platoo...
Vehicle which are turning or maneuvering at high speeds are susceptible to sliding and subsequently ...
Optimal wheel slip ratio control is the key issue in an anti-lock braking system (ABS). Due to the u...
Anti-blocking system (ABS) brake controllers pose unique challenges to the designer: a) For optimal ...
This paper presents an active slip control system (ASCS) for a four-wheel drive electric vehicle (EV...
Abstract—The application of fuzzy-based control strategies has recently gained enormous recognition ...
A new solution for preventing slippage in heavy duty off road vehicles with hydrostatic power transm...
Replicated with permission by SAE Copyright © 2017 SAE International. Further distribution of this ...
The design strategy of an adaptive Proportional-Integral-Derivative (PID)-like fuzzy controller for ...
To improve the driving performance and the stability of the electric vehicle, a novel acceleration s...
This project aims at proposing an innovative way to implement the concept of fuzzy logic to an ABS m...
Anti-lock Braking System (ABS) is used in automobiles to prevent slipping and locking of wheels afte...