Dynamic and Control of Vibratory Road Roller Based on Magneto-Rheological Semi-Active Damper

2012 ◽  
Vol 479-481 ◽  
pp. 1200-1204 ◽  
Author(s):  
Shao Na Liu ◽  
Shi Rong Yan ◽  
Shu Wei Li ◽  
Yao Gang Zheng
Keyword(s):  
Fuzzy Control ◽  
Dynamic Characteristic ◽  
Control Strategy ◽  
Mr Damper ◽  
Actual Situation ◽  
Important Research ◽  
Set Up ◽  
Magneto Rheological ◽  
Active Damper ◽  
And Control

Comfort of the vibratory road roller is an important research title. A 2-DOF non-line model is set up, which is more close to the actual situation of the vibratory road roller. A simulation using MATLAB/SIMULINK is carried out to validate this model and study its dynamic characteristic and analyze the motion laws of its housing and wheel. A kind of Magneto-rheological (MR) damper is designed which has been widely used in automotive and bridge damping in recent years, and applied to a vibratory road roller to control it. The control strategy uses fuzzy control. The results indicate that the damping performance of the vibratory road roller which applied MR damper is improved remarkably.

Design and Analysis of Magneto-Rheological Dampers under Impact Loads

2013 ◽  
Vol 295-298 ◽  
pp. 2045-2048
Author(s):  
Xiao Ming Han ◽  
Yu Cheng Bo ◽  
Qiang Li ◽  
Ji Huang
Keyword(s):  
Control Strategy ◽  
Test Bench ◽  
Mr Damper ◽  
Second Law ◽  
Impact Loads ◽  
Structure Parameter ◽  
Mr Dampers ◽  
Recoil Force ◽  
Magneto Rheological ◽  
And Control

In order to improve recoil mechanism’s buffering function of automatic weapon, using Newton’s second law, its recoil movement is analyzed and design model of magneto-rheological (MR) damper under impact loads is built. Structure parameter and control strategy are defined. Dampers’ characteristic curves at different magnetizing currents and different recoil speeds are tested on a damper indicator test bench. Some weapon’s recoil forces are artificially computed. The research results indicate that MR dampers have a perfect damping plateau effect. Recoil force of automatic weapon will be reduced by a big margin using the property that MR fluid can change at applied magnetic to control damping rules.

NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

2007 ◽  
Vol 31 (1) ◽  
pp. 127-141
Author(s):  
Yonghong Tan ◽  
Xinlong Zhao
Keyword(s):  
Dynamic Systems ◽  
Control Strategy ◽  
Neural Modeling ◽  
Modeling And Control ◽  
Control Scheme ◽  
The Neural Networks ◽  
Adaptive Control Strategy ◽  
Set Up ◽  
Modeling Strategy ◽  
And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

Grid Connection Control of DFIG Wind Power Generation

2013 ◽  
Vol 373-375 ◽  
pp. 1287-1293
Author(s):  
Jian Wei Liang ◽  
Tao Wang
Keyword(s):  
Control Strategy ◽  
Reactive Power ◽  
Basic Structure ◽  
Grid Connection ◽  
Stator Flux ◽  
Set Up ◽  
Grid Side ◽  
Rotor Side Converter ◽  
Stator Flux Oriented ◽  
And Control

The paper is based on PSCAD/EMTDC. The basic structure and operation principle of DFIG are analyzed and the mathematical model of DFIG is established, based on which the control system of rotor-side and grid-side converters is set up. The stator flux-oriented vector control is adopted for rotor-side converter. The no-load grid connection is realized before cutting in and control strategy is switched after grid connection successfully. DFIG can meet grid connection condition quickly with the control strategy and is connected to grid with no current shock nearly. The output of active and reactive power can be regulated respectively.

Isolation Application of Controlled and Uncontrolled Magnetorheological Dampers for Random Base Excitaion

2005 ◽  
Author(s):  
A. Narimani ◽  
M. F. Golnaraghi
Keyword(s):  
Base Isolation ◽  
Mr Damper ◽  
Optimization Method ◽  
Experimental Results ◽  
Base Excitation ◽  
Modeling And Control ◽  
Isolation Systems ◽  
Active Damper ◽  
Suspension Model ◽  
And Control

This paper presents experimental investigation of modeling and control of magnetorhological damper for transient base excitation inputs. Force characteristics of a commercially available MR damper (RD-1005-3) for shock and other transient base excitation are analytically obtained and validated using a scaled suspension model. The proposed model characterizes damper behavior more accurately and efficiently for analytical applications. The time and frequency responses of the developed model are compared with the experimental results and show good agreement. Finally, using the RMS optimization method the performance of the system for different types of controllers is compared with the optimal values of linear isolator system. Experimental results show that the performance of base isolation systems for transient and shock inputs significantly improves by utilizing a controlled semi-active damper over uncontrolled MR damper or an optimally designed passive isolator.

Modeling and Control of Magnetorheological Dampers for Vibration Isolation

2003 ◽  
Author(s):  
A. Narimani ◽  
M. F. Golnaraghi
Keyword(s):  
Vibration Isolation ◽  
Mr Damper ◽  
Damping Force ◽  
Isolation System ◽  
Modeling And Control ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Set Up ◽  
And Control

Semi-active isolators offer significant improvement in performance over passive isolators. These systems benefit from the advantages of active systems with the reliability of the passive systems. In this work we study a vibration isolation system with a magnetorheological (MR) damper. The experimental investigation of the mechanical properties of a commercially available linear MR damper (RD-1005-3) was conducted next. The mathematical Bouc-Wen model was adopted to predict the performance of MR damper. In addition, a modified Bingham model has been developed to characterize the damper behavior more accurately and efficiently. The measured hysteresis characteristics of field-dependent damping forces are compared with the simulation results from the described mathematical models. The accuracy of a damping-force controller using the proposed method is also demonstrated experimentally. Finally, a scaled quarter car model is set up to study the performance of the control strategy. The experimental results show that with the semi-active control the vibration of the quarter car model is well controlled.

Modeling of a Magneto-Rheological Damper Using System Identification

2010 ◽  
Author(s):  
Sudhir Kaul
Keyword(s):  
System Identification ◽  
Mr Damper ◽  
Operating Conditions ◽  
Parametric Models ◽  
Model Parameters ◽  
Recursive Models ◽  
Recursive System ◽  
Set Up ◽  
Magneto Rheological ◽  
Improved Model

This paper proposes the use of three recursive system identification techniques for modeling a magneto-rheological (MR) damper. The results of the three models are compared to one another and to two parametric models that have been commonly used in the existing literature for modeling MR dampers. An MR damper has been built in-house and an experimental set-up has been fabricated as part of this work. The set-up is used for data collection and the data is used for building the recursive models. The results from the system identification models are compared to the measured data as well as to the parametric models. While the parametric models are seen to work well within limited bounds of input variables and operating conditions, these models can be used outside the range of these bounds only after carrying out a new characterization of the model parameters. The recursive system identification models, on the other hand, continuously update all model parameters as and when data becomes available, as demonstrated by the three recursive models presented in this paper. The advantages of the recursive models are conclusively established by lower measures of error, a better representation of hysteresis and saturation phenomena exhibited by the MR damper and significantly improved model tracking. This is a major improvement over the commonly used parametric models, thereby making the recursive models specifically conducive to adaptive control algorithms.

Study on SASS with Magneto-Rheological Fluid Damper Based on Improved Variable Universe Fuzzy Control

2011 ◽  
Vol 130-134 ◽  
pp. 1418-1421
Author(s):  
Guang Xia ◽  
Wu Wei Chen ◽  
Xi Wen Tang ◽  
Qi Ming Wang
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Passive Suspension ◽  
Damping Effect ◽  
Variable Universe ◽  
Fluid Damper ◽  
Variable Universe Fuzzy Control ◽  
Fuzzy Control Strategy ◽  
Magneto Rheological ◽  
Linear Property

Considering the non-linear property of the magneto-rheological damper and the low accuracy of the traditional fuzzy control, this paper introduces a semi-active magneto-rheological damper controller which is based on the improved variable universe fuzzy control strategy and conducts a simulation of it. Next, it analyzes the damping effect of the passive suspension and the semi-active suspension. As indicated by the results, the use of the advanced variable universe fuzzy control strategy can effectively improve the ride and comfort of an automobile, and it serves as a reference for the further theoretical researches and sample vehicle experiments in the future.

Research on the Adaptive Fuzzy Control Based on Variable Universe of with Magneto-Rheological Suspension

2012 ◽  
Vol 433-440 ◽  
pp. 7112-7118 ◽  
Author(s):  
Min Duan ◽  
Gang Li ◽  
Jing Shi ◽  
Hai Hua Su
Keyword(s):  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Mr Damper ◽  
Variable Domain ◽  
Element Analysis ◽  
Car Model ◽  
Variable Universe ◽  
Adaptive Law ◽  
Suspension Control ◽  
Magneto Rheological

The magnetic circuit of MR damper was given,Finite Element Analysis and the structure optimization of MR damper were reserched.The theory of a variable domain by adopting an adaptive algorithm based on fuzzy-control was applied in semi-active suspension control with MR damper.The adaptive law for membership functiongs was designed for input and output.Based on 2DOF 1/4 car model with the simulationed for road protile as random input,the control simulation of MR semi-actibe suspension was carried out,results show that spring mass acceleration reduced while an adaptive algorithim with a variable domain fuzzy control was used to compare with ordinary strategy,the riding comfort got improved.

Semi-Active Control of a Vehicle Suspension Based on Magneto-Rheological Damper

2011 ◽  
Vol 311-313 ◽  
pp. 2286-2290
Author(s):  
Jie Lai Chen ◽  
Xue Zheng Jiang ◽  
Ning Xu
Keyword(s):  
Ride Comfort ◽  
Mr Damper ◽  
Vehicle Suspension ◽  
Damping Force ◽  
Mr Dampers ◽  
Quarter Car ◽  
Set Up ◽  
Magneto Rheological ◽  
Two Degree Of Freedom ◽  
The Magnetic Field

The focus of this study is to experimentally investigate a semi-active magneto-rheological (MR) damper for a passenger vehicle, by using a quarter car models. After verifying that the damping force of the MR damper can be continuously tuned by the intensity of the magnetic field, a full-scale two-degree of freedom quarter car experimental set up is constructed to study the vehicle suspension. On-off skyhook controller is employed to achieve the desired damping force. The experimental results show that the semi-active vehicle suspension vibration control system based on MR dampers is feasible and can effectively improve ride comfort of vehicle.

Vibration Analysis and Control of Nuclear Power Crane with MRFD

2018 ◽  
Vol 10 (08) ◽  
pp. 1850093 ◽  
Author(s):  
Yi Xiao Qin ◽  
Bo Lun Li ◽  
Xin Li ◽  
Yan Qing Li ◽  
Zhi De Zhang ◽  
...  
Keyword(s):  
Vibration Control ◽  
Working Conditions ◽  
Control Strategy ◽  
Vibration Analysis ◽  
Nuclear Power ◽  
Control Method ◽  
Control Model ◽  
Fluid Damper ◽  
Magneto Rheological ◽  
And Control

The nuclear power crane is required to have high security and stability, as its lifting mechanism and span structure are needed to perform predominantly in serious working conditions. A new vibration analysis and control method on the nuclear power crane is proposed to improve its stability, which is based on magneto rheological fluid damper (MRFD) and switch algorithm control strategy. The simulation is completed through dynamic model and control model. The experiment is accomplished in a serving crane. Both numerical simulated and experimental results show that the vibration of nuclear power crane is suppressed significantly with MRFD. It is proved that MRFD should be taken into consideration in the vibration control of nuclear power crane.

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