Experimental evaluation of a fuzzy logic controller on a quarter car test rig

2016 ◽  
Vol 39 (7) ◽  
pp. 2433-2445 ◽  
Author(s):  
Yener Taskin ◽  
Yuksel Hacioglu ◽  
Nurkan Yagiz
Keyword(s):  
Fuzzy Logic ◽  
Experimental Evaluation ◽  
Fuzzy Logic Controller ◽  
Test Rig ◽  
Quarter Car

Oil Whip Elimination Using Fuzzy Logic Controller

2015 ◽  
Vol 138 (6) ◽  
Author(s):  
A. S. Dimitri ◽  
J. Mahfoud ◽  
A. El-Shafei
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Control Action ◽  
Test Rig ◽  
Logic Control ◽  
Oil Whip ◽  
Simple Geometry ◽  
Wide Range

Oil whip is a self-excited subsynchronous vibration which limits the range of operating speed of journal bearings (JBs). JBs have wide range of applications due to their high loading capacity, simple geometry, and lubrication. When the speed of rotation increases, the oil whip instability is excited with a frequency corresponding to the rotor critical speed which causes excessive undesirable vibration. A solution for this instability is implemented through this paper. The control action is implemented through a new integrated bearing device. The bearing consists of JB and electromagnetic actuator (EMA). The oil whip control action is applied through the EMA. A fuzzy logic control algorithm is developed and experimentally applied to a rotor test rig. The controller is suitable to deal with the problems of uncertainties and nonlinearity. The experimental results show the ability of the developed controller to eliminate the oil whip instability when applied to a test rig which simulates industrial rotor through an integrated bearing prototype which was designed and manufactured.

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.

Oil Whip Elimination Using Fuzzy Logic Controller

2014 ◽  
Author(s):  
A. S. Dimitri ◽  
J. Mahfoud ◽  
A. El-Shafei
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Control Action ◽  
Test Rig ◽  
Logic Control ◽  
Oil Whip ◽  
Simple Geometry ◽  
Wide Range

Oil whip is a self-excited sub-synchronous vibration which limits the range of operating speed of Journal Bearings (JB). JB have wide range of applications due to their high loading capacity, simple geometry, and lubrication. When the speed of rotation increases, the oil whip instability is excited with a frequency corresponding to the rotor critical speed which causes excessive undesirable vibration. A solution for this instability is implemented through this paper. The control action is implemented through a new integrated bearing device. The bearing consists of JB and Electromagnetic Actuator (EMA). The oil whip control action is applied through the EMA. A fuzzy logic control algorithm is developed and experimentally applied to a rotor test rig. The fuzzy logic controller is suitable to deal with problems of uncertainties and non-linearity. The experimental results show the ability of the developed fuzzy logic controller to eliminate the oil whip instability when applied to a test rig which simulates industrial rotor through an integrated bearing prototype which was designed and manufactured.

scholarly journals Design and Testing of Fuzzy Logic Based Controller for Active Suspension System of a Quarter Car Model

2020 ◽  
Vol 9 (3) ◽  
pp. 3522-3532
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Hydraulic Actuator ◽  
Labview Software ◽  
Quarter Car Model ◽  
Car Model ◽  
Main Challenge ◽  
Quarter Car

In today’s scenario, due to increase in sales of Sports Utility Vehicles (SUV’s) more and more people are opting for off road drive. The main challenge is to improve the performance based on handling and comfort. Hence the conventional static spring and damper system are being modified to accommodate semi-active and active systems. In this paper to study the effectiveness of active suspension system, a quarter car model is developed and Fuzzy control strategy is proposed to reduce displacement of chassis. Hydraulic actuator is used to provide active control in the suspension system of the quarter car model. The fuzzy logic controller is interfaced with the hardware system by LabVIEW software. For connecting the hardware with LabVIEW software Arduino is used. The comparison of active and passive suspension system shows that the chassis displacement is decreased by 30% in case of active suspension system whereas the settling time decreases by 69%.

Apply a Fuzzy Algorithm to Control an Active Suspension in a Quarter Car by Matlab’s Simulink

2020 ◽  
Vol 902 ◽  
pp. 23-32
Author(s):  
Nguyen Cong Hung ◽  
Nguyen Thi Bich Nhung ◽  
Lu Thi Yen Vu ◽  
Vu Quang Khai ◽  
Tran Anh Son ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Shock Absorber ◽  
Ride Comfort ◽  
Road Disturbance ◽  
Mass Damper ◽  
Simulation Results ◽  
Quarter Car ◽  
Stability Time ◽  
Mass Spring

This paper presents modeling and simulation of spring-mass damper system for quarter car in the Simulink environment. The simulations in this research have been carried out by using the Simulink of Matlab. The parameters in the simulation model for the suspension system under study include car body mass, wheel mass, spring and damping elements of shock absorber, and tire. A road disturbance profile comprising a combination of two sinusoidal curves is modeled. Controllers that are used in this study are the proposed fuzzy logic controller. The purpose of this research is to improve vehicle comfort using the Fuzzy Logic Controller (FLC). The simulation results of the system perform well fulfill the minimum percentage requirements and fast stability time, provide good leveling of stability and ride comfort.

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