scholarly journals Design of Anti-Lock Braking System for FSAE Racing Vehicle Based on New Slip Ratio Observation Method

2022 ◽  
pp. 57-73
Author(s):  
Yicai Liu ◽  
Da Wang ◽  
Luxu Liang ◽  
Huitao Zhang ◽  
Wenjie Wang ◽  
...  
Keyword(s):  
Slip Ratio ◽  
Braking System ◽  
Observation Method

scholarly journals Simulation analysis of efficiency and stability for vehicle’s ABS control on combined steering and braking maneuvers

2019 ◽  
Vol 272 ◽  
pp. 01024 ◽  
Author(s):  
Feng YU ◽  
Jun XIE
Keyword(s):  
High Speed ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Simulation Analysis ◽  
Stability Control ◽  
Vehicle Stability ◽  
Slip Ratio ◽  
Braking Performance ◽  
Braking System ◽  
The Stability

Eight degrees of freedom vehicle model was established. Using the method of fuzzy control, the ABS control algorithm was designed based on slip ratio. Simulation analysis was done at speed of 15m/s, 20m/s, 25m/s under turning braking. The results show that the vehicle braking performance and vehicle stability at middle or low speed was improved by using the ABS controller, but qualitative analysis shows that phenomenon of vehicle instability was appeared at high-speed conditions. The turning braking stability under ABS controller was judged quantificationally by the stability judging formula. The results show that the requirements of stability control could not meet with only Anti-lock Braking System.

Modeling, identification, and controller design for hydraulic anti-slip braking system

2018 ◽  
Vol 233 (4) ◽  
pp. 862-876 ◽  
Author(s):  
Bijan Moaveni ◽  
Pegah Barkhordari
Keyword(s):  
Control System ◽  
Controller Design ◽  
Longitudinal Velocity ◽  
Experimental Tests ◽  
Identification Algorithm ◽  
Slip Ratio ◽  
Control Approach ◽  
The Road ◽  
Braking System ◽  
Road Condition

This study modeled and identified the hydraulic subsystem of an anti-slip braking system using input–output data of experiments on a test car. A simulation was prepared based on the results of the identification process, and it was validated by comparing the simulation results with those of the experimental tests. A novel control approach is introduced to obtain the optimal slip ratio during braking. This method does not require vehicle longitudinal velocity for the control algorithm but requires information about the road condition (dry, wet, etc.). An online identification algorithm to detect the road condition is introduced. The main benefits of the proposed control system in comparison with previous versions are improving the braking performance, simplicity of the control strategy, and considering the operational constraints which facilitate the control system implementation. The simulation and hardware-in-the-loop experimental results demonstrated the success of the modeling, identification, and proposed control approach.

scholarly journals Fuzzy Sliding Mode Wheel Slip Ratio Control for Smart Vehicle Anti-Lock Braking System

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2501 ◽  
Author(s):  
Jinhong Sun ◽  
Xiangdang Xue ◽  
Ka Wai Eric Cheng
Keyword(s):  
Controller Design ◽  
Adhesion Force ◽  
Sliding Mode ◽  
Rolling Friction ◽  
Resistance Force ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Braking System ◽  
Wheel Rolling ◽  
Braking Torque

With the development of in-wheel technology (IWT), the design of the electric vehicles (EV) is getting much improved. The anti-lock braking system (ABS), which is a safety benchmark for automotive braking, is particularly important. Installing the braking motor at each fixed position of the wheel improves the intelligent control of each wheel. The nonlinear ABS with robustness performance is highly needed during the vehicle’s braking. The anti-lock braking controller (CAB) designed in this paper considered the well-known adhesion force, the resistance force from air and the wheel rolling friction force, which bring the vehicle model closer to the real situation. A sliding mode wheel slip ratio controller (SMWSC) is proposed to yield anti-lock control of wheels with an adaptive sliding surface. The vehicle dynamics model is established and simulated with consideration of different initial braking velocities, different vehicle masses and different road conditions. By comparing the braking effects with various CAB parameters, including stop distance, braking torque and wheel slip ratio, the SMWSC proposed in this paper has superior fast convergence and stability characteristics. Moreover, this SMWSC also has an added road-detection module, which makes the proposed braking controller more intelligent. In addition, the important brain of this proposed ABS controller is the control algorithm, which can be used in all vehicles’ ABS controller design.

scholarly journals Design and Analysis of Output Feedback Constraint Control for Antilock Braking System with Time-Varying Slip Ratio

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Youguo He ◽  
Chuandao Lu ◽  
Jie Shen ◽  
Chaochun Yuan
Keyword(s):  
Stopping Time ◽  
Time Varying ◽  
Tire Model ◽  
Control Parameters ◽  
Slip Ratio ◽  
Braking System ◽  
Optimal Slip Ratio ◽  
Antilock Braking System ◽  
Constraint Control ◽  
Antilock Braking

This paper is concerned with the problem of constraint control for an Antilock Braking System (ABS) with time-varying asymmetric slip ratio constraints. A quarter vehicle braking model with system uncertainties and a Burckhardt’s tire model are considered. The Time-varying Asymmetric Barrier Lyapunov Function (TABLF) is embedded into the controllers for handling the time-varying asymmetric slip ratio constraint problems. Two adaptive nonlinear control methods (TABLF1 and TABLF2) based on TABLF are proposed not only to track the optimal slip ratio but also to guarantee no violation on the slip ratio constraints. Simulation results show that the proposed controllers can guarantee no violation on slip ratio constraints and avoid self-locking. In the meantime, TABLF1 controller can achieve a faster convergence rate, shorter stopping time, and shorter distance, compared to TABLF2 controller with the same control parameters.

Slid Mode VSC for Aircraft Anti-Skid Braking System with Index Reaching Law

2013 ◽  
Vol 336-338 ◽  
pp. 973-977
Author(s):  
Long Fei Fu ◽  
Yu Ren Li ◽  
Guang Lai Tian ◽  
Bo Liang ◽  
Hong Ling Wang
Keyword(s):  
Sliding Mode ◽  
Variable Structure ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Slip Ratio ◽  
Reaching Law ◽  
Braking System ◽  
Brake Pressure ◽  
Sliding Mode Variable Structure ◽  
Braking Process

Aircraft anti-skid braking system providing protection for the safety of the aircraft landed by controlling the brake pressure to be maintained slip ratio in best condition. The aircraft anti-skid braking system is hard to control as the nonlinear model of the aircraft dynamics, the uncertainty of friction between the tires and the ground of braking process. With the study of slip ratio and research of aircraft anti-skid braking system dynamics model, the sliding mode variable structure controller is designed. Then index reaching law is adopted to eliminate the system chattering and the performance is analyzed, further more the robustness is strengthen. Simulation results indicate that: the slip ratio follows the optimum slip ratio, the input signal is smooth, achieve the purpose.

Influence of Tire Parameters on ABS Performance

2017 ◽  
Vol 45 (2) ◽  
pp. 121-143 ◽  
Author(s):  
Stefano Arrigoni ◽  
Federico Cheli ◽  
Paolo Gavardi ◽  
Edoardo Sabbioni
Keyword(s):  
Degrees Of Freedom ◽  
Test Bench ◽  
Control Unit ◽  
Experimental Tests ◽  
Control Logic ◽  
Relaxation Length ◽  
Slip Ratio ◽  
Braking System ◽  
Longitudinal Stiffness ◽  
Antilock Braking System

ABSTRACT The antilock braking system (ABS) is an active control system, which prevents the wheels from locking-up during severe braking. The ABS control cycle rapidly modulates braking pressure at each wheel mainly based on tire peripheral acceleration. Significant wheel speed oscillations and consequent fast variations of tire longitudinal slip are a consequence, which, in turn, produce a corresponding variation of tire longitudinal force according to the ABS control cycle. Clearly, tire characteristics, namely, tire peak friction (regulating maximum vehicle deceleration), longitudinal stiffness, optimal slip ratio, curvature factor (regulating the position of the peak of μ-slip curve and the subsequent drop), and relaxation length (accounting for tire dynamic response) may significantly influence ABS performance. The aim of the present paper is to evaluate the effect of the main tire parameters on ABS performance. This task is, however, very challenging, since tire characteristics are intrinsically related, and the analysis involves interaction between tires, vehicle, and ABS control logic. A methodology based on the hardware-in-the-loop (HiL) technique is used. This approach was selected to overcome limitations of numerical simulations or difficulties related to the execution of on-road experimental tests (repeatability, costs, etc.). The developed HiL test bench includes all the physical elements of the braking system of a vehicle (comprising the ABS control unit) and a 14 degrees of freedom (dofs) vehicle model, which are synchronized by a real-time board. With the developed HiL test bench, a sensitivity analysis was carried out to assess the influence of tire peak friction, longitudinal stiffness, and relaxation length on ABS performance, evaluated in terms of braking distance, mean longitudinal acceleration, and energy distribution.

A Simple Method of ABS Optimal Slip Ratio Identification

2011 ◽  
Vol 383-390 ◽  
pp. 2453-2457
Author(s):  
Ling Zhao ◽  
Lan Tang
Keyword(s):  
Computer Simulation ◽  
Real Time ◽  
Fuzzy Controller ◽  
Simple Method ◽  
Slip Ratio ◽  
Braking System ◽  
Change Direction ◽  
Optimal Slip Ratio ◽  
Variable Quantity ◽  
Ratio Change

The difficulty of anti-lock braking system based on slip ratio lies in acquiring the optimal slip ratio of various pavements. In this paper, a method based on slip ratio change direction and adhesion coefficient change direction and variable quantity, is proposed to identify optimal slip ratio. The fuzzy controller was designed and the computer simulation was fulfilled for single pavement and variable pavement. The results show that this method has better accuracy, calculation amount small and in real-time.

scholarly journals Backstepping Fuzzy Sliding Mode Control for the Antiskid Braking System of Unmanned Aerial Vehicles

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1731
Author(s):  
Xi Zhang ◽  
Hui Lin
Keyword(s):  
Sliding Mode Control ◽  
Unmanned Aerial Vehicles ◽  
Control Strategy ◽  
Sliding Mode ◽  
Pressure Control ◽  
Slip Ratio ◽  
Fuzzy Sliding Mode Control ◽  
Braking System ◽  
Mode Control ◽  
Fuzzy Sliding Mode

This paper proposes a backstepping fuzzy sliding mode control method for the antiskid braking system (ABS) of unmanned aerial vehicles (UAVs). First, the longitudinal dynamic model of the UAV braking system is established and combined with the model of the electromechanical actuator (EMA), based on reasonable simplification. Subsequently, to overcome the higher-order nonlinearity of the braking system and ensure the lateral stability of the UAV during the braking process, an ABS controller is designed using the barrier Lyapunov function to ensure that the slip ratio can track the reference value without exceeding the preset range. Then, a power fast terminal sliding mode control algorithm is adopted to realize high-performance braking pressure control, which is required in the ABS controller, and a fuzzy corrector is established to improve the dynamic adaptation of the EMA controller in different braking pressure ranges. The experimental results show that the proposed braking pressure control strategy can improve the servo performance of the EMA, and the hardware in loop (HIL) experimental results indicate that the proposed slip ratio control strategy demonstrates a satisfactory performance in terms of stability under various runway conditions.

An Optimized Algorithm for Advanced Vehicle Anti-Lock Braking System

2013 ◽  
Vol 791-793 ◽  
pp. 1489-1492 ◽  
Author(s):  
Xian Heng Zeng ◽  
Yun Gao
Keyword(s):  
Neural Network ◽  
Traditional Method ◽  
Fuzzy Neural Network ◽  
Vehicle Speed ◽  
Long Distance ◽  
Slip Ratio ◽  
Braking System ◽  
Road Condition ◽  
Fuzzy Neural ◽  
Brake Force

In Anti-lock Braking System (ABS), the traditional method controlled the brake force with logical way and PID, it can not control ABS based on information of road condition, the speed of wheel and the speed of vehicle, it braked with a long distance and was dangerous. So, a optimized algorithm for advanced vehicle Anti-lock Braking System is proposed, gathering information on speed of vehicle, speed of wheel and road condition together to count real-time slip ratio, with Fuzzy Neural Network (FNN),the brake force of four wheels was controlled differently according to the different condition of wheel with slip ratio. The experiment showed that compare with normal algorithm, the stop distance became 20% shorter with this optimized algorithm and the algorithm is very stable.

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