scholarly journals Intelligent anti-lock braking system of electric vehicle with the possibility of mixed braking using fuzzy logic

2021 ◽  
Vol 2061 (1) ◽  
pp. 012101
Author(s):  
A A Umnitsyn ◽  
S V Bakhmutov
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Electric Vehicle ◽  
Control Object ◽  
Electric Machines ◽  
Research Results ◽  
Braking System ◽  
Tracking Algorithms ◽  
Driving Conditions

Abstract This article discusses the work of an intelligent anti-lock braking system (ABS), in which electric machines and friction brakes act as actuators. Combining several actuators at one control object is a difficult task. One of the possible ways to solve it is the use of a control system based on fuzzy logic. The paper compares two tracking algorithms for controlling the actuators of the anti-lock braking system: - slipping control using mixed braking, with a control system based on fuzzy logic; - slipping control by means of braking by one actuator - friction brakes. Research results have shown that the use of mixed braking allows one to increase the performance of this system in various driving conditions.

scholarly journals Using a Development Platform with an STM32 Processor to Prototype an Inexpensive 4-DoF Delta Parallel Robot

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7962
Author(s):  
Pawel Andrzej Laski ◽  
Mateusz Smykowski
Keyword(s):  
Control System ◽  
Control Object ◽  
Kinematic Chain ◽  
Parallel Robot ◽  
Inverse Kinematic ◽  
Degree Of Freedom ◽  
Research Results ◽  
Development Platform ◽  
Simulation Control

This article presents a construction prototype of a delta 4-DoF (Degree of Freedom) parallel robot. The structure of kinematic chain was described and the problem of inverse kinematic was formulated and solved. The author also proposed a concept of a control system. The dynamics of the control object were specified, a decision upon the controller and its settings was made, as well as simulation control studies of manipulator drive were conducted. The article contains a description of prepared applications and procedures as well as the research results of the manipulator.

ANALYSIS OF THE EFFECTIVENESS OF MIXED BRAKING WITH FUZZY LOGIC CONTROL DURING THE OPERATION OF THE ANTI-LOCK BRAKING SYSTEM OF AN ELECTRIC VEHICLE

2021 ◽  
Vol 75 (4) ◽  
pp. 13-19
Author(s):  
Umnitsyn Artem Alexeyevich ◽  
◽  
Bakhmutov Sergey Vasilyevich ◽  
Yakimovich Boris Anatolyevich ◽  
Kakushina Elena Gennadievna ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Fuzzy Logic Control ◽  
Front Axle ◽  
Torque Control ◽  
The Road ◽  
Braking System ◽  
Logic Control ◽  
Wheel Drive ◽  
Braking Torque

The article discusses the process of braking an all-wheel drive electric vehicle with an indi-vidual drive of the driving wheels with a different coefficient of adhesion of tires to the road along the sides of the electric vehicle. A feature of this work is the use of fuzzy logic in the braking torque control system by the actuators of the front axle of the vehicle. Based on the results of the study, it was concluded that the proposed type of control is preferable in comparison with the control of only one actuator - the brake mechanism.

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Effect of Inner and Outer Wheels Driving Force Control on Small Electric Vehicle

2020 ◽  
Vol 17 (4) ◽  
pp. 8246-8254
Author(s):  
K. Shibazaki ◽  
H. Nozaki
Keyword(s):  
Control System ◽  
Angular Velocity ◽  
Electric Vehicle ◽  
Force Constant ◽  
Force Control ◽  
Driving Force ◽  
Vehicle Control ◽  
Steering Angle ◽  
Force Control System ◽  
The Difference

In this study, in order to improve steering stability during turning, we devised an inner and outer wheel driving force control system that is based on the steering angle and steering angular velocity, and verified its effectiveness via running tests. In the driving force control system based on steering angle, the inner wheel driving force is weakened in proportion to the steering angle during a turn, and the difference in driving force is applied to the inner and outer wheels by strengthening the outer wheel driving force. In the driving force control (based on steering angular velocity), the value obtained by multiplying the driving force constant and the steering angular velocity,  that differentiates the driver steering input during turning output as the driving force of the inner and outer wheels. By controlling the driving force of the inner and outer wheels, it reduces the maximum steering angle by 40 deg and it became possible to improve the cornering marginal performance and improve the steering stability at the J-turn. In the pylon slalom it reduces the maximum steering angle by 45 deg and it became possible to improve the responsiveness of the vehicle. Control by steering angle is effective during steady turning, while control by steering angular velocity is effective during sharp turning. The inner and outer wheel driving force control are expected to further improve steering stability.

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