The Simulation of Driving Wheel Slip Control Based on the Fuzzy Theory

2013 ◽  
Vol 347-350 ◽  
pp. 45-48
Author(s):  
Jing Tao Yue ◽  
Li Tang ◽  
Xiang He Tao
Keyword(s):  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Control Mode ◽  
Output Variable ◽  
Wheel Slip ◽  
Slip Control ◽  
Drive Wheel ◽  
Input And Output ◽  
Driving Wheel ◽  
Set Up

This paper set up the slip control mode of drive wheel base on the fuzzy theory .By the made of input and output variable of fuzzy controller and ruler ,the mode of slip control is set up ,to communicate between the MATLAB and the AMESim system, by the simulation and calculation of the control of valve output , the result of calculation tested the controller s rationality and practicability.

scholarly journals Braking Method of Electric Vehicle Based on Direct Drive Electro- Hydraulic Brake Unit

2015 ◽  
Vol 9 (1) ◽  
pp. 351-360 ◽  
Author(s):  
Xiaoxiang Gong ◽  
Siqing Chang ◽  
Lichen Jiang ◽  
Xiaopan Li
Keyword(s):  
Electric Vehicle ◽  
Electric Propulsion ◽  
Fuzzy Controller ◽  
Slip Rate ◽  
Direct Drive ◽  
Wheel Slip ◽  
Braking Performance ◽  
Braking Distance ◽  
Set Up ◽  
Wire System

For the characteristics of full electric propulsion, a novel kind of brake-by-wire unit is designed for electric vehicle to improve braking performance. A comprehensive brake-by-wire system including this unit is set up after its structure and principle are introduced. Then, a multi-layer fuzzy controller is proposed to regulate decelerate and wheel slip rate, and an optimal regenerative strategy is proposed to recover braking energy. At last, the experiment of brake unit is completed to verify that this novel unit is technologically feasible, and an electric vehicle co-simulation model based on MATLAB/Simulink and AMESim is established to prove that this novel unit is able to significantly improve braking performance of electric vehicle. The simulation result shows braking distance and time are shorten by 12.19% and 15.54% respectively compared with conventional ABS system in the same braking condition, and the recovery efficiencies in light and heavy braking are 53% and 28% respectively.

Design of a fuzzy controller using input and output mapping factors

1991 ◽  
Vol 21 (5) ◽  
pp. 952-960 ◽  
Author(s):  
G.M. Abdelnour ◽  
C.-H. Chang ◽  
F.-H. Huang ◽  
J.Y. Cheung
Keyword(s):  
Fuzzy Controller ◽  
Input And Output ◽  
Output Mapping

Comparative studies of the set up of two-dimensional pneumatic arm systems by muscle and rotational actuators

2007 ◽  
Vol 221 (5) ◽  
pp. 743-748 ◽  
Author(s):  
Y-T Wang ◽  
R-H Wong ◽  
J-T Lu
Keyword(s):  
Control Systems ◽  
Fuzzy Controller ◽  
Control Algorithms ◽  
Two Dimensional ◽  
Pneumatic Control ◽  
Learning Mechanism ◽  
Set Up ◽  
And Control ◽  
Self Learning ◽  
System Characteristics

As opposed to traditional pneumatic linear actuators, muscle and rotational actuators are newly developed actuators in rotational and specified applications. In the current paper, these actuators are used to set up two-dimensional pneumatic arms, which are used mainly to simulate the excavator's motion. Fuzzy control algorithms are typically applied in pneumatic control systems owing to their non-linearities and ill-defined mathematical model. The self-organizing fuzzy controller, which includes a self-learning mechanism to modify fuzzy rules, is applied in these two-dimensional pneumatic arm control systems. Via a variety of trajectory tracking experiments, the present paper provides comparisons of system characteristics and control performances.

A Robust Wheel Slip Control Design with Radius Dynamics Observer for EV

2018 ◽  
Vol 2 (2) ◽  
pp. 135-146
Author(s):  
Kada Hartani ◽  
Mohamed Khalfaoui ◽  
Abdelkader Merah ◽  
Norediene Aouadj
Keyword(s):  
Control Design ◽  
Wheel Slip ◽  
Slip Control

Anti-Lock Wheel Slip Control With an Adaptive Searching Algorithm for the Optimal Slip

2015 ◽  
Author(s):  
Ning Pan ◽  
Liangyao Yu ◽  
Lei Zhang ◽  
Zhizhong Wang ◽  
Jian Song
Keyword(s):  
Lyapunov Theory ◽  
Modulation Amplitude ◽  
Wheel Slip ◽  
Slip Control ◽  
The Road ◽  
Road Friction ◽  
Speed Fluctuation ◽  
On The Road ◽  
Pressure Modulation ◽  
Abs Algorithm

An adaptive searching algorithm for the optimal slip during ABS wheel slip control is proposed. By taking advantage of the fluctuation of wheel slip control, the direction towards the optimal slip can be found, and the target slip calculated by the algorithm asymptotically converged to the optimal slip, which is proved using the Lyapunov theory. A gain-scheduling wheel slip controller is developed to control the wheel slip to the target slip. Simulations on the uniform road and on the road with changed friction are carried out to verify the effectiveness of the proposed algorithm. Simulation results show that the ABS algorithm using the proposed searching algorithm can make full use of the road friction and adapts to road friction changes. Comparing with the conventional rule-based ABS, the pressure modulation amplitude and wheel speed fluctuation is significantly reduced, improving control performance of ABS.

scholarly journals Wheel slip control with torque blending using linear and nonlinear model predictive control

2017 ◽  
Vol 55 (11) ◽  
pp. 1665-1685 ◽  
Author(s):  
M. Sofian Basrah ◽  
Efstathios Siampis ◽  
Efstathios Velenis ◽  
Dongpu Cao ◽  
Stefano Longo
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Nonlinear Model Predictive Control ◽  
Wheel Slip ◽  
Slip Control ◽  
Linear And Nonlinear
Sign in / Sign up

Export Citation Format

Share Document