Anti-skid Control System Research Articles

Analysis of anti-slip control system and dynamic performance of mechanical engineering drive based on improved social engineering algorithm

INTRODUCTION: The field of mechanical engineering technology is an emerging technology field with many research directions, and there are many directions of intersection with other disciplines, among which the field of mechanical engineering has outstanding research advantages. With the continuous development of mechanical engineering technology, the research direction of mechanical engineering applied to the field of mechanical engineering is also continuously enriched and developed. Mechanical engineering research focuses on realizing the monitoring and control of the dynamic performance of mechanical systems, as well as realizing the integration of design and system control.
 OBJECTIVES: In order to improve the disassembly efficiency, reduce the disassembly cost and disassembly energy consumption, it is optimized using social engineering methods to achieve better results and reduce the disassembly cost and energy consumption.
 METHODS: Aiming at the drive and anti-skid control strategy of four-wheel hub motor, it was simulated using improved social engineering algorithms, and based on this, three road recognition algorithms were selected for low, medium, and high adhesion road verification.
 RESULTS: Through the study of automobile anti-skid control system, the basic structure of automobile anti-skid control system is summarized and some solution measures are proposed. A new type of drive anti-skid control system is proposed for the problems of high vibration and noise of automobile brake. The drive anti-slip control system is characterized by simple structure, easy maintenance, simple control and reliable operation, and high operation efficiency.
 CONCLUSION: This study shows that the system not only has excellent drive anti-slip effect, but also has good control performance. In addition, this drive anti-slip system is able to ensure the safe and reliable operation of mechanical brakes in various harsh environments. This new drive anti-slip control system is a new type of drive device that can be widely used for driving force on various mechanical brakes and drive wheels, and the study of this device is of great significance.

An Anti-Skid Control System Based on the Energy Method for Decentralized Electric Vehicles

Anti-slip control, as a fundamental technique of vehicle stability control, prevents loss of control of vehicles, especially under extreme driving conditions. However, current control methods fail to suppress vehicle slippage when steering. Therefore, a new anti-slip control approach for four-wheel independent-drive electric vehicles (EVs) based on the energy method is proposed. This approach makes full use of the distribution of motor energy between the body and the wheels during vehicle turning, being able to adjust the driving torque of each wheel. Simulation results validate that the proposed approach can prevent wheel slip when the vehicle steers on slippery roads. Furthermore, simulations also show that the proposed control strategy can maintain high control performance when the motor flux linkage varies.

Modeling and Simulation of Anti-Skid Control System of Railway Vehicle in Curved Track

The slipping of railway vehicle wheels during curve negotiation has been always a major problem in the railway transportation. One of the causes of these slippages is predicted to be the lack of proper curve radius which incites high creepages. The creepages cause override of proper wheel rail interaction while negotiating a curve. Before the days of modern automatic control systems, the skills of a driver set the braking deceleration and speed limits for proper curve negotiation. In case of a light rail transit system, with condensed population, there is a huge demand of transporting increased number of people. The increased train weight is again expected to have additional effects on the wheelset slipping when negotiating the curve and braking on a gradient curvature. Braking control method should be used to limit the creeppages before the train starts skidding.
 The aim of this paper is to model the anti-skid control of a train in curved track in two instances: when the train is braking on a gradient curve and when the train is negotiating a curved track. To achieve this objective, the lateral dynamics equations of motion of the wheelset are solved to predict the yaw angle and lateral displacements as well as their velocities. These quantities are used to calculate the creepages and creep forces. In return, they are input to the control model to limit the skidding. Computer simulation using MATLAB/Simulink is carried out to assess the feasibility of the control method. The results will be used to design proper control systems that the rail network in congested environment are able to use. Antiskid control offers other benefits such as increasing the lateral comfort by reduced lateral forces and limiting noise generated by skidding.

A comparison of model-based and black-box methods for speed estimation in aircraft

The anti-skid control system in aircraft is confined to the landing-gear subsystem, and, for safety reasons, it must rely on local signals only. Therefore, it can use only two measurements: the wheel speed and the pilot braking pressure request. Therefore, the antiskid control logics are generally wheel deceleration-based, as the slip cannot be computed since the aircraft speed is not available. The vehicle speed estimation is commonly done in automotive systems, made possible also by the presence of additional sensors usually coming from an Inertial Measurement Unit (IMU). This work explores how the aircraft speed can be estimated using only the landing gear signals, and if the resulting estimate can be accurate enough to be used in closed-loop with a slip-based anti-skid controller. To do so, two estimation approaches are considered: a sliding-mode model-based one, and a black-box approach grounded on recurrent neural networks. Experimental results are shown, witnessing the potential of black-box approaches.

Combination of Skid Control and Direct Yaw Moment Control to Improve the Safety and Stability of the Small Electric Vehicle with Two In-Wheel Motors

For a small electric vehicle (EV) with the rear two in-wheel motors, the hydraulic brake system and the mechanical brake system are installed at the front and rear tire respectively. The mechanical brake system is used at the rear tire because there is no enough space for the hydraulic brake system. In a braking condition, the in-wheel motor at the rear tire will generate the regenerative braking force and it can improve the braking performance of the vehicle. However, during braking on the low adhesion road surface, anti-lock brake system (ABS) is very crucial to prevent the tire from lock-up. To improve the safety and stability of the vehicle, the combination of anti-skid control system and direct yaw moment control system is proposed. The anti-skid control system contains a hydraulic unit of ABS at the front tires and regenerative brake timing control at the rear tires. The control method of the regenerative brake timing control is same as ABS and it will turn on and off to prevent the tire from lock-up. On the other hand, the direct yaw moment control system is developed to increase the steer performance of the vehicle. The optimal control is used as the control strategy method to control the yaw moment. The simulation is developed in MATLAB Simulink and the result shows that the proposed model can improve the stopping distance from 9 seconds to 8.2 seconds. In addition, the combination of skid control and yaw moment control also improved the steer performance of the vehicle.

A New Multimachine Robust Based Anti-skid Control System for High Performance Electric Vehicle

This paper presents a high performance sensor less control four motorized wheels for electric vehicle. Firstly, we applied a sensor less master-slave DTC based control to both the two in wheel motors by using sliding mode observer for its quick response and its high reliability in electric vehicle application. Secondly, to overcome the possible loss of adherence of one of the four wheels which is likely to destabilize the vehicle a solution is proposed in this paper. Thirdly, a Fuzzy logic anti-skid control structure well adapted to the non-linear system is used to overcome the main problem of power train system in the wheel road adhesion characteristic. Various Simulation results have been include in this paper to show that the proposed control strategy can prevent vehicle sliding and show good vehicle stability on a curved path.

Antiskid control of railway train braking based on adhesion creep behavior

In modern trains wheelset skidding leads to the deterioration of braking behavior, the degradation of comfort, as well as a boost in system hazards. Because of the nonlinearity and unknown characteristics of wheelset adhesion, simplifications are widely adopted in the modeling process of conventional antiskid controllers. Therefore, conventional antiskid controllers usually cannot perform satisfactorily. In this paper, systematic computer simulation and field tests for railway antiskid control system are introduced. The operating principal of antiskid control system is explained, which is fundamental to the simulation of antiskid brakes, and the simulation model is introduced, which incorporates both the adhesion creep curve and a pneumatic submodel of antiskid control system. In addition, the characteristics of adhesion curves and the simulation target are also provided. Using DHSplus, the pneumatic submodel is created to analyze the performance of the different control strategies of antiskid valves. Then the system simulation is realized by combining the kinematical characteristics of railway trains and the pneumatic submodel. The simulation is performed iteratively to obtain the optimized design of the antiskid control system. The design result is incorporated in the hardware design of the antiskid control system and is evaluated in the field tests in Shanghai Subway Line 1. Judging by the antiskid efficiency, the antiskid braking performance observed in the field tests shows the superiority of the optimized design. Therefore, the proposed simulation method, especially in view of its ease of application, appears to be a useful one for designing railway antiskid control systems.

Design and Simulation of Electric Pallet Truck Hydraulic Anti-Skid System

Based on electric pallet truck skids in the process of moving because of low road attachment coefficient, this paper proposed an anti-skid method by changing the proportion of enduring pressure between the driving wheel and trundles. Anti-skid control theory of the new method is researched and mathematical models of the main modules are established. Anti-skid control system is simulated by using AMESim and Matlab / Simulink software. Simulation results show that, this hydraulic anti-skid system can respond quickly and precisely.

Anti-skid induced aircraft landing gear instability

The paper deals with the application of multidisciplinary multibody modelling to the analysis of a particular aircraft landing gear-induced instability, known as “gear walk”. This low frequency fore-and-aft oscillation of the landing gear (LG) is primarily due to the coupling of the LG deflection with the brake anti-skid control system characteristics. The objective is the development of a modelling approach that can be used as a design tool for the anti-skid controller in order to avoid malfunction during the braking manoeuvre. A comprehensive multibody model of an aircraft with a tripod main LG is developed and used, together with a simple anti-skid model, to predict the onset of the instability. The components used in the multibody model are thoroughly explained and the numerical results obtained are presented and discussed.