Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm

2010 ◽  
Vol 44-47 ◽  
pp. 1496-1499 ◽  
Author(s):  
Rui Zhen Gao ◽  
Zhi Qiang Xu ◽  
Jing Jun Zhang
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Suspension System ◽  
System Model ◽  
Improved Genetic Algorithm ◽  
Matlab Simulink ◽  
Passive Suspension ◽  
Car Suspension ◽  
Genetic Algorithm Approach

This paper completes a full car semi-active suspension system model, using improved genetic algorithm approach to optimize the fuzzy logic rules and the co-simulation were carried out in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

Studying of Fuzzy Logic Control for Semi-Active Suspension Based on Improved Genetic Algorithm

2010 ◽  
Vol 143-144 ◽  
pp. 929-932
Author(s):  
Jing Jun Zhang ◽  
Zhi Qiang Xu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Improved Genetic Algorithm ◽  
Logic Control ◽  
Car Suspension ◽  
Genetic Algorithm Approach

Establishing a 2-DOFs of 1/4 semi-active suspension system model, using genetic algorithm approach, to design fuzzy logic controller of the semi-active suspension and simulate in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

Optimal Control of Semi-Active Suspension Based on ADAMS and MATLAB/Simulink

2010 ◽  
Vol 44-47 ◽  
pp. 1492-1495 ◽  
Author(s):  
Rui Zhen Gao ◽  
Zhi Qiang Xu ◽  
Jing Jun Zhang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Control ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Active Suspension ◽  
Improved Genetic Algorithm ◽  
Matlab Simulink ◽  
Car Suspension ◽  
Multi Body ◽  
Body Dynamic

This paper establish a multi-body dynamic model of the Vehicle. The fuzzy logic controller was designed for the semi-active suspension based on improved genetic algorithm, then, the co-simulation were carried out based on Adams and Matlab/Simulink. The results demonstrate that this control method enhances the performance of the full car suspension system significantly.

Studying of Fuzzy Logic Control Semi-Active Suspension Based on ADAMS/Car and MATLAB/Simulink

2010 ◽  
Vol 143-144 ◽  
pp. 956-960 ◽  
Author(s):  
Jing Jun Zhang ◽  
Zhi Qiang Xu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Matlab Simulink ◽  
Logic Control ◽  
Car Suspension ◽  
Genetic Algorithm Approach ◽  
Multi Body ◽  
Body Dynamic

The study is researched to establish a multi-body dynamic model of the Vehicle by using Adams /Car software package. Using genetic algorithm approach，fuzzy logic controller of the semi-active suspension was designed, simulated in the environment of Matlab/Simulink.. The results of being compared with the passive suspension demonstrate that this developed fuzzy logic controller based on Adams /Car and Matlab/Simulink enhances the performance of the full car suspension system significantly.

scholarly journals Comparison between proportional, integral, derivative controller and fuzzy logic approaches on controlling quarter car suspension system

2018 ◽  
Vol 184 ◽  
pp. 02018
Author(s):  
Ahmet Mehmet Karadeniz ◽  
Alsabbagh Ammar ◽  
Husi Dr.Geza
Keyword(s):  
Fuzzy Logic ◽  
Public Transportation ◽  
Fuzzy Logic Controller ◽  
Suspension System ◽  
Maximum Efficiency ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
Car Suspension ◽  
Quarter Car

Developing and constantly changing technologies, efforts to achieve maximum efficiency with minimum fuel consumption, as well as the development of comfort and safety systems, have become very essential topic in car manufacturing and design. Whereas comfort and security were not given a high importance in the first produced cars, they are indispensable elements of today's automobiles. Since public transportation uses road in large scale, the need for safety and repose is also increasing. Nowadays, vehicles have better security and comfort systems, which react very quickly to all kinds of loads and different cases of driving (braking, acceleration, high speed, cornering), where the tires can keep the road at its best, utilizing an advanced suspension system. In this study, a quarter-car model was fulfilled using LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) software. The control of this model has been realized by applying two different controllers. PID (proportional, integral, derivative) controller which is a common and conventional control method and the Fuzzy Logic controller which is considered as an expert system that is becoming more and more widely used. In both control approaches, controlling the suspension system was achieved successfully. However; It has been determined that controlling the system using Fuzzy Logic controller gave better dynamic response than applying the PID controller for the quarter car suspension model that has been used in the direction of this study.

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