Application of Sliding Mode Control for Electric Vehicle Antilock Braking Systems

2012 ◽  
Vol 505 ◽  
pp. 440-446 ◽  
Author(s):  
Jin Gang Guo ◽  
Jun Ping Wang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Fuzzy Optimization ◽  
Disturbance Attenuation ◽  
Regenerative Braking ◽  
Slip Ratio ◽  
Mode Control ◽  
Antilock Braking System ◽  
Braking Force ◽  
Antilock Braking

An antilock braking method based on sliding mode control (SMC) for electric vehicles (EVs) is proposed on the basis of antilock braking dynamics model, and hence an SMC controller of antilock braking system is designed. Aiming at the chattering of SMC, a method of parameter fuzzy optimization for exponential approach law is proposed, which can meet the requirements for small chattering, strong disturbance attenuation and fast convergence. In order to take full advantage of regenerative braking force, a method of braking force distribution between mechanical and electrical braking systems is elaborated. The simulations on the road with different friction coefficients show that the vehicle speed is in good agreement with the wheel speed during braking, and the slip ratio is kept within an optimal range. Adopting SMC based on fuzzy optimization, optimal slip ratio can be tracked fast and accurately. Furthermore, since the regenerative braking force is made full use of during braking, the energy recovery efficiency is high.

scholarly journals Antilock Braking System Using Sliding Mode Control.

1997 ◽  
Vol 63 (611) ◽  
pp. 2302-2307 ◽  
Author(s):  
Makoto YOKOYAMA ◽  
Yoshiaki IWATA ◽  
Shinji KATAYOSE ◽  
Masamichi IMAMURA ◽  
Makoto NIBE
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Braking System ◽  
Mode Control ◽  
Antilock Braking System ◽  
Antilock Braking

Emergency Avoidance Control System for an Automatic Vehicle – Slip Ratio Control Using Sliding Mode Control and Real-Number-Coded Immune Algorithm –

2015 ◽  
Vol 27 (6) ◽  
pp. 645-652 ◽  
Author(s):  
Masafumi Hamaguchi ◽  
◽  
Takao Taniguchi
Keyword(s):  
Sliding Mode Control ◽  
Real Number ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Linear Interpolation ◽  
Immune Algorithm ◽  
Transport Systems ◽  
Slip Ratio ◽  
Mode Control ◽  
Data Points

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/06.jpg"" width=""300"" /> Vehicle behavior in emergency avoidance</div>The automotive industry facilitates research and development on intelligent transport systems. One area researched intensively to enhance passenger safety is the prevention of collisions by controlling steering and braking precisely. In this study, we assume that an automatic vehicle travelling on a highway is on a collision course with an obstacle. The purpose of this research is combining steering and braking to find a set of operations the vehicle can follow to avoid the projected collision. To do this, we propose slip ratio control using sliding mode control using a real-number-coded immune algorithm (IA). CarSim (produced by Mechanical Simulation Company) provides full vehicle dynamics with 27 degrees of freedom adopted as a vehicle model. Operation waveforms are generated by linear interpolation through designated data points. The IA, which is a coded real-number expression, is used to determine data points. Our proposal's efficiency is verified through emergency avoidance simulation using CarSim. Simulation results demonstrate operation that keeps tires from skidding using slip ratio control and halting the vehicle in the shortest braking distance possible.

Sign in / Sign up

Export Citation Format

Share Document