scholarly journals A Critical Analysis of Fuzzy Logic Controller for Slip Control in Antilock Braking System (ABS)

2018 ◽  
Vol 7 (3.28) ◽  
pp. 116
Author(s):  
Fauzal N. Zohedi ◽  
M. A.Rahmat ◽  
Hyreil A.Kasdirin
Keyword(s):  
Fuzzy Logic ◽  
Critical Analysis ◽  
Fuzzy Logic Controller ◽  
Stopping Time ◽  
Wheel Speed ◽  
Vehicle Speed ◽  
Matlab Simulink ◽  
Slip Control ◽  
Braking System ◽  
Antilock Braking System

This project aims at proposing an innovative way to implement the concept of fuzzy logic to an ABS model. The implementation of this project was conducted using simulation of ABS which is a combination from vehicle speed, wheel speed and slip through MATLAB Simulink software. By implementing fuzzy logic to the ABS system, the fuzzy logic can facilitate in improving the ABS abilities. The ABS model is developed and fuzzy logic controller is implemented to the model. The performance of the Fuzzy ABS is analyzed. The result shows that the fuzzy logic controller can facilitates the performance of the ABS by reducing the stopping time and maintaining the slip value near to 0.2.  

Antilock Braking System Slip Control Modeling Revisited

2013 ◽  
Vol 393 ◽  
pp. 637-643 ◽  
Author(s):  
M.H.M. Ariff ◽  
Hairi Zamzuri ◽  
N.R.N. Idris ◽  
Saiful Amri Mazlan
Keyword(s):  
Braking Performance ◽  
Slip Control ◽  
Quarter Car Model ◽  
Braking System ◽  
Car Model ◽  
Starting Point ◽  
Antilock Braking System ◽  
The Subject ◽  
Control Modeling ◽  
Systems Studies

The introduction of anti-lock braking system (ABS) has been regarded as one of the solutions for braking performance issues due to its notable advantages. The subject had been extensively being studied by researchers until today, to improve the performance of the todays vehicles particularly on the brake system. In this paper, a basic modeling of an ABS braking system via slip control has been introduced on a quarter car model with a conventional hydraulic braking mode. Results of three fundamental controller designs used to evaluate the braking performance of the modeled ABS systems are also been presented. This revisited modeling guide, could be a starting point for new researchers to comprehend the basic braking system behavior before going into more complex braking systems studies.

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.

scholarly journals VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Control

2017 ◽  
Vol 7 (6) ◽  
pp. 3454 ◽  
Author(s):  
Doaa M. Atia ◽  
Hanaa T. El-madany
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Matlab Simulink ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Simulation Results ◽  
Power Point

It is important to have an efficient maximum power point tracking (MPPT) technique to increase the<em> </em>photovoltaic (PV) generation system output efficiency. This paper presents a design of MPPT techniques for<em> </em>PV module to increase its efficiency. Perturb and Observe method (P&amp;O), incremental conductance method (IC), and Fuzzy logic controller (FLC) techniques are designed to be used for MPPT. Also FLC is built using<em> </em>MATLAB/ SIMULINK and compared with the FLC toolbox existed in the MATLAB library. FLC does not<em> </em>need knowledge of the exact model of the system so it is easy to implement. A comparison between different<em> </em>techniques shows the effectiveness of the fuzzy logic controller techniques.  Finally, the proposed FLC is<em> </em>built in very high speed integrated circuit description language (VHDL). The simulation results obtained with<em> </em>ISE Design Suite 14.6 software show a satisfactory performance with a good agreement compared to obtained values from MATLAB/SIMULINK. The good tracking efficiency and rapid response to environmental parameters changes are adopted by the simulation results.

scholarly journals Modelling and Controller Design for Non- Linear Two Tank Interacting System

2020 ◽  
Vol 9 (6) ◽  
pp. 82-85
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Mathematical Modelling ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Linear Process ◽  
Matlab Simulink ◽  
Non Linear ◽  
And Control

This paper explains the mathematical modelling and controller design of Two Tank Interacting System (TTIS) for a non-linear process. To design the non-linear process using Matlab Simulink and control the process using conventional PID controller and Fuzzy Logic Controller (FLC). A comparative study was conducted extensively made to examine which controller suits well for the non-linear process through the response observed.

Application of Fuzzy Logic Controller for Safe Braking System: An Anti-Theft Tracking

2018 ◽  
Vol 24 (10) ◽  
pp. 7317-7321
Author(s):  
Hasan Kahtan ◽  
Wan Nor Ashikin Wan Ahmad Fatthi ◽  
Azma Abdullah ◽  
Mansoor Abdulleteef ◽  
Noor Aishah Rosli
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Braking System

Intelligent Control System Design for a Teleoperated Endoscopic Surgical Robot

2015 ◽  
Vol 789-790 ◽  
pp. 693-699
Author(s):  
Alaa Khalifa ◽  
Ahmed Ramadan
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
System Design ◽  
Trajectory Tracking ◽  
Parallel Manipulator ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control System Design ◽  
Matlab Simulink

This paper concerns with the control system design for a teleoperated endoscopic surgical manipulator system that uses PHANTOM Omni haptic device as the master and a 4-DOF parallel manipulator (2-PUU_2-PUS) as the slave. PID control algorithm was used to achieve the trajectory tracking, but the error in each actuated joint reached 0.6 mm which is not satisfactory in surgical application. The design of a control algorithm for achieving high trajectory tracking is needed. Simulation on the virtual prototype of the 4-DOF parallel manipulator has been achieved by combining MATLAB/Simulink with ADAMS. Fuzzy logic controller is designed and tested using the interface between ADAMS and MATLAB/Simulink. Signal constraint block adjusted the controller parameters for each actuated prismatic joint to eliminate the overshoot in most of position responses. The simulation results illustrate that the fuzzy logic control algorithm can achieve high trajectory tracking. Also, they show that the fuzzy controller has reduced the error by approximately 50 percent.

Sign in / Sign up

Export Citation Format

Share Document