Automobile Anti-lock Braking System Research Articles

Retracted: Research on Fuzzy Control Method of Automobile Antilock Braking System

Retracted: Research on Fuzzy Control Method of Automobile Antilock Braking System

Review of Control Algorithms of Vehicle Anti-lock Braking System

Background: Automobile anti-lock braking system (ABS) is an important part of the vehicle active safety control system, which is widely used in all kinds of vehicles. At present, the research of ABS mainly focuses on the study of the control algorithm, which is intended to improve the stability, robustness, and adaptability of the control algorithm. Objective: In the future, it is necessary to explore adaptive robust control algorithms that adapt to extreme conditions such as high nonlinearity and sudden road changes, such as active disturbance rejection control technology, deep learning neural network control technology, etc. Method: According to the research status of domestic and foreign researchers in the field of ABS control algorithms, ABS control algorithms are mainly divided into two categories: control methods based on logic thresholds and control methods based on slip ratio. Results: The comparative study of ABS control methods shows that the logic threshold control method has strong maneuverability and simple implementation, but its adaptability is poor. Sliding mode control has strong robustness and good transient response, but chattering needs to be suppressed. Although the PID control algorithm is simple and easy to implement, it needs to improve the transient response of the system.

Research on pattern recognition of automobile anti-lock braking system

The Anti-lock Braking system (ABS) plays a pivotal role in ensuring the stability of driving operation. The study proposes an ABS based on pavement identification based on the establishment of a vehicle dynamics model, which first determines the type of road surface and then realises brake control through adaptive fuzzy PID. The outcomes show that on dry concrete roads, the wheel speed under the control of this method quickly tracks up to the body speed after 0.1 s. The braking distance was 69.87 m and 47.68 m on the mixed soil road and ice road respectively. In the actual docking road test, the method can quickly and accurately identify the optimal slip rate, with a braking time of only 3.842 s, indicating that the method can achieve effective identification and efficient control of the car ABS, which provides a reference technical means to further improve the car driving safety.

Research on pattern recognition of automobile anti-lock braking system

Research on pattern recognition of automobile anti-lock braking system

Research on Fuzzy Control Method of Automobile Antilock Braking System

The automobile Antilock Braking System (ABS) can prevent the wheel from locking by automatically adjusting the brake pressure at a high speed during emergency braking. While improving the braking effect of the car, it can also keep the steering ability of the car and ensure the safety of passengers. The automobile braking process has a strong nonlinearity and uncertainty, so exploring a simple and reliable control strategy is the focus of current research. Based on this, this paper proposes a variable-domain fuzzy proportional integral differential (PID) control strategy using a particle swarm optimization (PSO) algorithm to iteratively find the optimal theoretical domain. First, the PSO strategy is used to obtain the optimal regulation parameters. Then, the dynamic antiinterference ability of the control system is guaranteed by the variable theory domain fuzzy PID control, and the PID parameters and variable theory domain expansion factor are optimized by the PSO to increase the utilization degree of fuzzy rules initially set. Finally, compared with the traditional control strategy, the simulation and real vehicle test prove that the proposed system can significantly improve the control accuracy of abs. The proposed system has the advantages of small overshoot, short adjustment time, strong antiinterference ability, and practicability, which greatly improves the tracking performance of the ABS.

Research on Anti-lock Braking System of Electro-mechanical Braking Vehicle Based on Feature Extraction

With the increase of vehicle speed, the increase of road traffic density and people’s higher requirements for vehicle safety, the Anti-lock Braking System (ABS) has become an important safety device on vehicles. It not only has the braking function of the common braking system, but also can prevent the wheels from locking. Automobile ABS is an important device that affects the safety of automobile braking system and driving safety. It can shorten braking distance and improve directional stability and operability during braking. Electro-mechanical braking control system adopts advanced electro-mechanical braking technology and is applied to automobile braking control system together with anti-lock braking system. Emb (electro-mechanical brake) uses electric energy as the energy source of the braking system, and uses the motor to drive the actuator to generate braking force, which responds quickly and can effectively improve the active safety of automobiles. In this paper, based on feature extraction algorithm, the brake pressure estimation method of EMB actuator is proposed, and the anti-lock braking control algorithm of automobile is analyzed.

Discrete fuzzy adaptive PID control algorithm for automotive anti-lock braking system

Due to the low slip rate and poor braking performance of automobile anti-lock braking system, a discrete fuzzy adaptive PID control algorithm for automobile anti-lock braking system is designed in this paper. Based on the theory of discrete fuzzy adaptive PID control algorithm, the braking force of a vehicle is analyzed and the anti-lock control target is set. The automobile adhesion coefficient and wheel slip rate are calculated as the input and output of the PID control algorithm to complete the control of the anti-lock brake system of the network automobile. Experiments show that the sliding rate of the discrete fuzzy adaptive PID control algorithm of the designed anti-lock system is close to 20%, which proves that the design method has good braking effect.

Simulation verification for automobile anti-lock braking system bench test principle

Anti-lock braking system (ABS) is an automobile safety system that has been designed to achieve maximum deceleration by preventing the wheels from locking up and avoiding uncontrolled skidding. In this paper, a bench-based ABS test principle was proposed, which can provide different surface adhesion coefficient dynamically for four wheels. And the simulation model consists of the vehicle model, wheel model, braking force model, and tyre-road model, was established to verify the principle. The simulation experiments on a variety of simulated road conditions are carried out. And the comparative analysis between the ABS bench detection model and ABS road test model is accomplished. The comparative analysis indicated that the simulation curves of the bench detection method and those from road test model are highly consistent in the changing trend under different braking conditions, which verified the correctness and feasibility of the proposed bench detection scheme.

Simulation verification for automobile anti-lock braking system bench test principle

Simulation verification for automobile anti-lock braking system bench test principle

Novel Bench-Based Inspection Approach for Automobile Anti-Lock Braking System

Bench inspection approach for automobile Anti-lock Braking System (ABS) has gained research interests recently due to its high efficiency, small site occupation and insusceptibility to environment influences. The current work proposed a novel systematic bench inspection approach for ABS. In order to dynamically simulate various road adhesion coefficients, torque controllers are used for loading different torques to the drums. Furthermore, flywheels are adopted to simulate the translational inertia of the vehicle braking on road for compensating the inertial energy of ABS road experiment on the bench. The principal component analysis (PCA) is applied for accurate and efficient data analysis. The automatic evaluation of ABS is achieved by using the processed PCA data as an input to the back-propagation (BP) neural network classifier. The experiments established that the new approach can accurately simulate various road braking conditions. It can be carried out for the inspection of ABS installed in the car.

Research on bench testing technology of automobile ABS: dynamic performance based on inertia simulation

One means of reducing the risk associated with the development of Anti-Lock Braking System (ABS) would be the ability to respond to the change of the tyre-road friction coefficient. In order to make accurate evaluation of the ABS performance, a possible solution is to research on bench testing technology. In this paper we put forward a simulation method of vehicle moment of inertia, in which the kinetic energy of the vehicle is replaced by the kinetic energy of the rotating flywheel, and the tyre-road friction coefficient is replaced by magnetic powder clutch. The amplitude of exciting current to the clutch has relationship with the friction coefficient, so as to provide a datum for testing the working status of ABS under various road conditions. The system can realise simulating test of single road surface, bisectional road surface and joint road surface. The validity of the road simulation method can be verified by the real-time data from the user interface.

MODELING AND SIMULATION OF AUTOMOBILE ANTI-LOCK BRAKING SYSTEM BASED ON SIMULINK

This article establishes the mathematical model of automobile anti-lock braking system (ABS) in the Simulink environment and tracks the research and simulation of the ABS established mathematical model, which is based on the control module with the PID controller. From the simulation curve, we can verify automobile ABS with good braking performance and direction maneuverability.

Hierarchical intelligent control of automobile anti-lock braking system

A new method using difference of the peak values of wheel velocity to calculate reference vehicle velocity and ref- erence slip ratio is proposed,which is based on the analyses of the mechanics characteristics between the tire and the road when the vehicle is being braked.To solve complex control problem of automobile anti-lock braking system(ABS)in dif- ferent conditions,a hierarchical intelligent control(HIC)system is investigated.It includes running control level,parameters adjusting level and organization coordination level.According to the instantaneous performance index of reference slip ratio,a human-simulation intelligent controller(HSIC)aiming at con- trolling reference slip ratio is designed in running control level. The characteristic model,control modes set and reasoning rules set are built.In parameter adjusting level,to decrease the deft- ciency of reference slip ratio control,a method is pointed that modifies the calculation values of HSIC pursuant to wheel an- gle deceleration.In coordination level,a fuzzy intelligent con- troller with the inputs of wheel deceleration and reference slip ratio is designed to implement road automatic identification. Then four wheels braking coordination control rules are also given.The simulation on HIC system of ABS is developed with Matlab.An automotive ABS test and control system is con- structed and the road tests under different conditions are com- pleted according to the international standards.Compared to traditional logic gate control,test results show that the HIC is an effective new ABS control method with better braking sta- bility,adaptiviness and control accuracy.

Using the Sliding‐Mode PWM Method in an Anti‐Lock Braking System

ABSTRACTThis study attempted to integrate the Pulse Width Modulation (PWM) method and sliding mode control theory to develop quasi‐continuous control for an automobile anti‐lock braking system. Two controllers are designed in this study. One applies directly by applying quasi‐continuous control to achieve ABS slip control. In addition, the quasi‐continuous control method was applied to develop pressure tracking control, and then this pressure tracking controller and the acceleration signal of the tire were implemented together to construct an anti‐lock braking controller. Both controllers were investigated on a dynamic test stand. Wet road braking was simulated by spraying water on the contact surface between the tire and the flywheel. Excellent braking results not only verify the performance of the sliding PWM method but also provide an alternative to an ABS controller without slip feedback.