Anti-lock Braking System Research Articles

Compressor Air Pressure and Brake Shield Distance Brake to Braking Accuracy on Brakes Antilock Braking System

The development of automotive technology to date is very fast. In the city, it is almost rare to find conventional cars. Most are already using modern technology. The hallmark of modern cars is that they are not fully mechanical. Already combined with several electric and pneumatic tools. Until now the development in the field of chassis is endless. Its initial development began with the discovery of ABS (Anti Lock Brake System) brakes. Basically, ABS is followed by supporting components such as EBD, ESP, and so on.All of this is actually inseparable from the main function of braking. Namely so that the car can run well,, deceleration and stop as desired appropriately. The parts of the brakes that are most influential are the brake shoes and discs and the compressed air from the brakes. Also the most influential accuracy is the distance of the brake shroud. Therefore, in this study the aims of 1. To find the effect of pressure and brake shroud distance. 2. What is the minimum air pressure and brake shroud for the brakes to work properly (grip). This research uses experimental design method. The data is processed with the Minitab program. Data processing shows that: 1. The braking speed is influenced by the amount of compressed air pressure. Partially the distance of the brake shroud does not affect the braking speed. But the interaction of pressure and shroud distance has an effect on braking speed. 2. Air pressure that can be used as a fast ABS braking process is 3.75 – 4.25 (bar) with a shroud distance of 5 (mm).

Design and Analysis of Vehicle Anti-Lock Braking System with Fuzzy Logic, Bang-Bang and PID Controllers

In this study, a mathematical model of Anti-Lock Braking System (ABS) has been developed and simulated in MATLAB/Simulink environment using bang-bang, fuzzy logic and PID controllers. The controllers were used to control the braking force to be applied based on various parameters like relative slip, road condition and coefficient of friction between road and tire. The simulated result was compared and analyzed. The simulation result showed that a PID controller would take 9.665 seconds to stop the vehicle at the distance of 434.902 ft at an initial velocity of 88 ft/s. The Fuzzy Logic, Bang-Bang and no controllers offered 935.298 ft at 16.76 seconds, 696.996 ft at 13.751 seconds and 1421.327 ft at 24.217 seconds, respectively for the same initial velocity and road surface. From analysis, it was concluded that the PID controller had better performance compared to fuzzy logic and bang-bang controllers for application of ABS in a vehicle.

A wheel slip control scheme for aeronautical braking applications based on neural network estimation

Due to safety reasons, anti-skid braking control strategies in aircraft can rely only on sensors that are integral to the landing gear, and these currently are limited to wheel rotational speed and braking pressure. Thus, up to now anti-lock-braking systems (ABS) are developed as threshold-based algorithms that regulate the wheel deceleration. However, as it is known from the Automotive field, slip control offers superior closed-loop properties and robustness, paired with a much easier and time-saving tuning phase. This work aims at investigating first of all if slip control does indeed offer the same performance advancement also in the aeronautical braking context and, secondly, whether the wheel slip can be effectively estimated and employed in a closed-loop braking controller without the need of additional sensors on the landing gear. To do this, we propose a wheel slip control scheme where a data-driven approach using a neural network architecture is used to solve the problem of wheel slip estimation. The proposed control scheme is tested within a very realistic simulation setting, capturing all the non-linear effects peculiar of the aeronautical context, and compared with a standard deceleration-based ABS in multiple braking maneuvers carried out within a large operational envelope. The results show that superior performance and robustness can indeed be achieved with the proposed control approach, paving the way for the adoption of wheel slip abs strategies also for aircraft braking.

Deep reinforcement learning-based antilock braking algorithm

Tires play an important role in the performance of vehicular safety systems. Antilock braking system is one of the most important active safety systems that interacts with the tires. Unlike a variety of existing algorithms which are tuned to a specific tire, this research proposes a model-free reinforcement learning-based control algorithm which can adapt to changing tire characteristics and there by effectively utilising the available grip at tire–road interface. The simulation model, consisting of brake actuator dynamics, transportation delays, tire relaxation behaviour, vehicular longitudinal and pitch dynamics, is trained using more than 350,000 random tires. To reduce training time, a parallelisation architecture has been proposed which distributes learning and simulation tasks to different CPU cores. Finally, a conditional variance-based sensitivity analysis with over twelve thousand tires indicate improved grip utilisation at tire–road interface and decreased sensitivity of stopping distance on tire nonlinearity compared to literature version of Bosch algorithm.

Research on Direct Braking Force Estimation and Control Strategy Using Tire Inverse Model

With the rapid development of computer control and vehicle intelligence technology, speed and safety of vehicles have been greatly improved, and the requirements for vehicle control performance are getting higher and higher. For the direct braking force control, in the process of deceleration, a fast braking response can be obtained, which improves the braking performance and vehicle safety. This paper concentrates on direct braking force estimation and control strategy using a tire inverse model based on the antilock braking system, and to solve the problem of the existing ABS system is mainly antilock braking function, no direct braking force control function. Taking magic formula model for reference inverse model, the critical parameters under different road surfaces are obtained according to experience data. Then, the desired slip ratio corresponding to braking force can be obtained via fast tire inverse model look-up table method. The tyre friction self-adjustment decision making is obtained using the tire inverse model method. A direct braking force antilock braking system (DBF-ABS) controller is built using the nonsingular fast terminal sliding mode method. The simulation results indicated that the control strategy has adaptability and stability to the change of road conditions.

DESIGN AND DEVELOPMENT OF ANTI-LOCK BRAKING SYSTEM FOR ELECTRIC VEHICLE

Modern automobiles are more than just mechanical gadgets. Because of the connectivity which is increased between the vehicular networks and the present outside world, hackers now have more security flaws via which they can cause exploitations of a vehicular network. The CAN network that is controlled area network is a common communication bus protocol that helps ECU that is electronic control units in a vehicular network to communicate with one another. The safety systems which connect to network, on the other hand, are particularly vulnerable to malicious internal or external assaults due to their varied security flaws. This study presents a new way for introducing a Message Authentication System to enhance CAN security. The electric vehicle is basically driven by the lithium-ion battery coupled to hub motor. The motor needs a power supply to run which can be from an array of source. Electric vehicles do not emit any carbon dioxide because they are fuelled by electricity rather than any other fuel. Carbon dioxide contributes to the greenhouse effect. The design of the electric vehicle includes Hub motor which is brushless dc motor the outer part which rotates is called rotor and permanent magnets is used above the rotor inner part is called as stator and windings are used above it. Hence hub motors are dc motors as they work on dc voltage. Lithium-ion battery is made up of anode, cathode, electrolyte and two current collectors (positive and negative). Li-ion batteries can be recharged 100 times and are more stable. Henceforth, high efficiency with less noise and environment friendly electric vehicle is designed. The method that is proposed and implemented in a MATLAB and Simulink of CAN-based in the networks of the vehicle design along with ABS. By introducing additional security characteristic information unique to each transmitted CAN packets, model that applies Authentication of messages with a safety mechanism for any unknown detection that is intruded. The suggested method's result analysis revealed the fact that the feature which is security that has been proven to be very effective method that detects and blocks any third-party that has been intruded into the anti-lock braking system through the controlled area network bus protocol, The stability is maintained between all coupled Electronic control units. Hence method that is implemented with the design of electric vehicle gives the best results of the output.

Mechanical anti-lock braking system using pneumatic system and solenoid valve with low cost manufacturing

PurposeThe Purpose of this study is to prove the possibility of developing low cost mechanical anti – lock braking system (ABS) for the passenger’s safety.Design/methodology/approachThe design methodology of the proposed newer mechanical ABS comprises of two units, namely, the braking unit and wheel lock prevention unit. The braking unit actuates the wheel stopping as and when the driver applies the brake, whereas the wheel lock prevention unit initiates wheel release to prevent locking and subsequent slip/skidding. The brake pedal with master cylinder assembly and double-arm cylinder forms the braking unit, brake pad cylinder, movable brake pad, solenoid valve and dynamo forms the wheel lock prevention unit. The dynamo coupled with the rotor energises/de-energises the solenoid values to direct airflow for applying brake and release it, which makes the system less energy-dependent.FindingsThe braking unit aids in vehicle stops, by locking the disc with the brake pad actuated by a double-arm cylinder. The dynamo energises the solenoid valve to activate the brake pad cylinder piston for applying the brake on the disc. Instantaneously, on applying the brake the dynamo de-energises the solenoid to divert the pneumatic flow for retracting the brake pad thereby minimizing the braking torque. The baking torque reduction revives the wheel rotating and prevents slip/skidding.Originality/valueMechanical ABS preventing wheel lock by torque reduction principle is a novel method that has not been evolved so far. The system was designed with repair/replacement of the parts and subcomponents to support higher affordability on safety grounds.

An End-of-Line Test System for Pneumatic ABS Controllers in Commercial Vehicles

To remedy the defects of conventional pneumatic ABS (anti-lock Braking system) controller testing equipment for commercial vehicles, such as low efficiency and difficult testing condition configurations, a workflow was proposed based on the unit integration test mode. The relationship among the operation logic of the ABS valves, test conditions, and wheel speed was derived through the simulation of a multi-condition configuration. Then, a wheel speed simulation model was set up by taking the test conditions as inputs, and it was implanted into an embedded control unit. Next, the hardware module and the underlying drivers as well as an application algorithm for the application layer were designed. A prototype of the EOL (end-of-line) test system was built. The test results show that the prototype can not only achieve a rapid test condition configuration and accurate fault location but that it can also meet the requirements for test efficiency.

An overview on properties and applications of magnetorheological fluids: Dampers, batteries, valves and brakes

This paper presents a review of literature that introduces the properties and applications of Magnetorheological fluids(MRFs). first, magnetic particles (iron or cobalt), base fluids(oil (mineral-synthetic) or water), and how to prepare magnetorheological fluids are discussed. Then, in the continuation of this research, considering that magnetorheological fluids are smart and soft liquids, the methods of stability and properties (viscosity, hysteresis loop, Shear yield stress, etc) Of these magnetorheological fluids are discussed. Due to the different properties of Magnetorheological fluids, the behavior of these fluids in different states is discussed. These intelligent fluids change their properties when exposed to an external magnetic field. The most important and obvious feature of magnetorheological fluids is their reversibility from liquid to semi-solid state or vice versa in the Presence or the absence of a magnetic field in a fraction of a second. This change in state and properties is known as the magnetorheological effect. This effect depends on various factors, such as the concentration of magnetic particles, the distribution of magnetic particles, the strength of the magnetic field, additives, and so on. The low magnetic effect and instability of magnetorheological fluids are the most important problems against their widespread use in modern industries. According to research, carbonyl iron particles are the most promising particles for the dispersed phase in MRF. The choice of carbonyl iron particles contributes to their high saturation magnetism, relatively low cost, low coercion, and widespread availability. Finally, according to the different properties and behaviors of these fluids, different applications of magnetorheological fluids are discussed. MRF-based control systems are increasingly used in engineering applications such as rheological magnetic electrolytes in batteries, anti-lock braking systems, magnetic clutches, vibrating dampers, shock absorbers, control valves, and various types of vibrating dampers. One of the newest applications of magnetic fluids is the magneto-rheological electrolyte. The use of MRFs in batteries introduces a new class of magnetic field-sensitive electrolytes that has the potential to increase impact resistance, safety, thermal conductivity, and energy storage in electronic devices through reversible active switching electrolyte mechanical properties.

Numerical optimization‐based extremum seeking control of a class of constrained nonlinear systems via finite‐time state transition

AbstractThis article studies the extremum seeking control (ESC) problem for a class of constrained nonlinear systems. Specifically, we focus on a family of constraints that allows to reformulate the original nonlinear system in the so‐called input–output normal form. To steer the system to optimize a performance function without knowing its explicit form, we propose a novel numerical optimization‐based extremum seeking control (NOESC) design consisting of a constrained numerical optimization method and an inversion‐based feedforward controller. In particular, a projected gradient descent algorithm is exploited to produce the state sequence to optimize the performance function, whereas a suitable boundary value problem accommodates the finite‐time state transition between each two consecutive points of the state sequence. Compared to available NOESC methods, the proposed approach (i) can explicitly deal with output constraints; (ii) can consider a direct dependence on the states of the internal dynamics in the performance function; (iii) the internal dynamics do not have to be necessarily stable. The effectiveness of the proposed ESC scheme is shown through extensive numerical simulations and design of antilock braking systems.

A Lyapunov Stability Analysis of Modified HOSM Controllers Using a PID-Sliding Surface Applied to an ABS Laboratory Setup

The antilock braking system (ABS) is a mechatronic system that helps a driver maintain the maneuverability of a vehicle while braking by preventing wheel lock-ups. However, the design of high-performance controllers for this type of system is complicated because of its highly nonlinear dynamics. The problem becomes even more difficult to resolve when uncertainties in the parameters appear in its dynamics. In this paper, an ABS laboratory setup mimicking a quarter car model is considered. A modified high-order sliding mode (HOSM) controller using a proportional-integral-differential (PID) control as a sliding surface was designed. This controller provides a reference value of a tire slip. The proposed controller uses a tracking error to define the slip surface through the PID controller structure, and the modified HOSM controller holds the system on the previously designed slip surface. The closed-loop system stability has been proven in the sense of Lyapunov. Finally, the ABS laboratory setup allows for experimentally checking the performance of the modified HOSM controller using a PID-sliding surface, showing a considerable increase in the efficiency of the control system compared with a PID-like controller.

IoT-Based Response Time Analysis of Messages for Smart Autonomous Collision Avoidance System Using Controller Area Network

Many accidents and serious problems occur on the road due to the rapid increase in traffic congestion in all sections of the country. Autonomous vehicles provide a solution to successfully and cost-effectively avoid this problem while minimizing user disruption. Currently, more engaging electromechanical elements with an analog interface are used to develop affordable automobiles for efficient and cost-effective operation for a smart driving platform with a semiautonomous automobile, strengthening the vehicle involvement of the driver while increasing safety. As a result, it takes longer for various car elements to respond, which causes more problems during message transmission. This project aims to create a Controller Area Network (CAN) for analyzing message response times by incorporating a few application nodes on the IoT platform, such as an antilock braking system, flexible cruise control, and seat belt section, for some real-time control system applications. These application nodes are car analytical parts that are linked to IoT modules to prevent collisions. An autonomous device for collision avoidance and obstacle detection in a vehicle can impact road accidents if the CAN protocol is implemented.

Multi-Agent-Based Coordinated Control of ABS and AFS for Distributed Drive Electric Vehicles

A vehicle with a four-channel anti-lock braking system (ABS) has poor safety and stability when braking on a low-adhesion road or off-road. In view of this situation, this paper proposes a multi-objective optimization coordinated control method for ABS and AFS based on multi-agent model predictive control (MPC). Firstly, the single-wheel control method is adopted to establish the single-wheel equation based on the slip rate and the stability equation of the centroid yaw based on AFS. The four wheels and the centroid are regarded as agents. The mathematical model of distributed drive electric vehicles based on graph theory and the coordinated control of AFS and ABS is established to reduce the dimension of the model. Secondly, on the basis of the multi-agent theory, an integrated coordinated control method for AFS and ABS based on distributed model predictive control (DMPC) is proposed to realize the ideal values of the vehicle’s slip rate, yaw rate, and sideslip angle, and improve the braking safety and handling stability of the vehicle. Then, to solve the problems of high levels of resource consumption, low real-time performance, and complex implementation in the optimization of the DMPC solution, a prediction solution method using a discrete simplified dual neural network (SDNN) is proposed to balance the computational efficiency and system dynamic performance. Finally, a hardware-in-the-loop (HIL) test bench is built to test the effectiveness of the proposed method under the conditions of a low-adhesion road and an off-road.

Motorcycle antilock braking systems and fatal crash rates: updated results

Objective Antilock braking systems (ABS) prevent wheels from locking during hard braking and have been shown to reduce motorcyclists’ crash risk. ABS has proliferated in the United States fleet, and the objective of the current study was to update the effectiveness estimate for ABS with additional years of data and a broader variety of motorcycle types. Methods Motorcycle drivers involved in fatal crashes per 10,000 registered vehicle years during 2003–19 were examined for 65 motorcycle models offering ABS as an optional feature. Fatal crash rates for motorcycles with ABS were compared with rates for the same models without it. Results ABS was associated with a statistically significant 22% reduction in motorcycle driver fatal crash involvements per 10,000 registered vehicle years. Conclusion This finding adds to the growing literature demonstrating the safety benefits of motorcycle ABS.

Longitudinal Dynamic Modeling and Driving Cycle Tracking Control of an Electric-Driven Vehicle by Means of MATLAB/Simulink/Simscape

MATLAB, Simulink, and Simscape are market-leading products in Model-Based Design (MBD). Applying acausal and causal modeling methods to model the physical plant and control algorithms of mechatronic systems results in high-fidelity virtual prototype models that can be used for Model-in-Loop (MiL) development. In this paper, an electric-driven vehicle is modeled, which can execute various driving cycle inputs. PID controllers are used in order to get the appropriate plant inputs. Idealized anti-lock braking system (ABS) and traction control system (TCS) algorithms provide robustness when the driving cycle input is near-infeasible. The control algorithm is validated in the cases of feasible and infeasible driving cycle inputs.

Low Vehicle Speeds Regenerative Anti-lock Braking System

The utilization of Regenerative Anti-lock Braking System (RABS) for saving energy in electric and hybrid vehicles has been previously studied, but to the best of our knowledge this study is the first to assess enhancing regenerative braking performance at low speeds. The proposed system detects the type of the road condition and adapts braking performance with road condition. RABS comprehensive model is constructed using Matlab/Simulink simulation for optimization of the the control system performance during braking on different terrains. Additionally, an experimental test rig is constructed on a hybrid golf cart where two modes of control are tested on different road conditions; the speed reducing mode and the stopping mode. Efficiency of converting lost braking energy to useful charge to the batteries reaches up to 30% at speeds lower than 10 km/hr.

Nonlinear control of an antilock braking system in the presence of tire–road friction uncertainties

An Antilock Braking System (ABS) is characterized by nonlinear dynamics, which render more difficult the design of a controller for high performance. The problem is even harder due to the uncertainties on the parameters appearing in its dynamics. In this paper, an ABS laboratory setup is considered, which mimics a quarter car model. A super–twisting controller is proposed to overcome the problem due to parameter uncertainties. This controller is designed in order to impose a reference value of the tire slip. Two cases are considered: in the first, nominal ABS parameters are used in the controller, whereas in the second the controller embeds an estimator of the tire–road friction coefficient, which is one of most critical parameters. The friction coefficient is estimated in finite–time by means of a high–order sliding mode differentiator. The original contributions of the paper are the real–time implementation of the super–twisting controller for the laboratory setup under study, and the use of a super–twisting estimator to provide a finite–time estimation of the friction coefficient between the tire and the road, along with a comparison with classical PI–like and super–twisting controllers, available in the literature. The ABS laboratory setup allows checking experimentally the performance of the proposed nonlinear dynamic controller, showing a considerable increase of the efficiency of the control system.

Anti-Lock Braking System

The Anti-Lock Braking System (ABS) is one of the automotive industry safety functions. The vehicle's braking difficulty is lessened while its strength is boosted thanks to the installation of this safety system. Anti-Lock Hydraulic Brake tyre efficiency is improved as well since the roadway and the tyre are not eroded. However, this strategy does not work effectively in areas with bad road conditions. The latest advance known as the electronic brake power distribution to overcome the inconvenient automobile industry. "Electronic brake power distribution" is productive irrespective of whether street conditions such as frosty, watery, etc. are unfavourable. It also reduces braking and improves vehicle stability by incorporating utility in a control unit. The ABS is used in vehicles to prevent wheel bolting and slip after braking. The slip percentage shows the speed and rotation of the vehicle. Mechanized systems that suddenly require restrictions, rhythm braking that was boiling by convenient drivers with an earlier brake system are the subject of this investigation When the driver can respond more quickly, it's easier to steer. Driving assistance and distance limit spotting are provided by the ABS, alternatively on free surfaces such as gravel or snow secured asphalt, on illusive and dry surfaces. The anti-lock braking system may completely enhance braking distance even if vehicle control system is still improved.

Automatic Anti-Lock Brake System for Anti-Rollover Control of Autonomous Heavy-Duty Truck

Automatic Anti-Lock Brake System for Anti-Rollover Control of Autonomous Heavy-Duty Truck

Detection and Mitigation of Sensor and CAN Bus Attacks in Vehicle Anti-Lock Braking Systems

For a modern vehicle, if the sensor in a vehicle anti-lock braking system (ABS) or controller area network (CAN) bus is attacked during a brake process, the vehicle will lose driving direction control and the driver’s life will be highly threatened. However, current methods for detecting attacks are not sufficiently accurate, and no method can provide attack mitigation. To ensure vehicle ABS security, we propose an attack detection method to accurately detect both sensor attack (SA) and CAN bus attack in a vehicle ABS, and an attack mitigation strategy to mitigate their negative effects on the vehicle ABS. In our attack detection method, we build a vehicle state space equation that considers the real-time road friction coefficient to predict vehicle states (i.e., wheel speed and longitudinal brake force) with their previous values. Based on sets of historical measured vehicle states, we develop a search algorithm to find out attack changes (vehicle state changes because of attack) by minimizing errors between the predicted vehicle states and the measured vehicle states. In our attack mitigation strategy, attack changes are subtracted from the measured vehicle states to generate correct vehicle states for a vehicle ABS. We conducted the first real SA experiments to show how a magnet affects sensor readings. Our simulation results demonstrate that our attack detection method can detect SA and CAN bus attack more accurately compared with existing methods, and also that our attack mitigation strategy almost eliminates the attack’s effects on a vehicle ABS.