scholarly journals Semi-Active Scissors-Seat Suspension With Magneto-Rheological Damper

2020 ◽  
Vol 7 ◽  
Author(s):  
Hongtao Zhu ◽  
Xiaoting Rui ◽  
Fufeng Yang ◽  
Wei Zhu ◽  
Junjie Gu
Keyword(s):  
Root Mean Square ◽  
Mr Damper ◽  
Vibration Velocity ◽  
Viscous Damping ◽  
Mean Square ◽  
Digital Integrator ◽  
Seat Suspension ◽  
Tracking Model ◽  
Magneto Rheological ◽  
Mr Fluid Damper

A cab seat suspension with a magneto-rheological (MR) fluid damper is introduced in this paper. A unified-format model for the MR damper is proposed to describe the dynamic characteristics of the MR damper. Also, a simple force-inverse model and a viscous damping tracking model are used for the coil current solution. A digital integrator and an extended Kalman filter are respectively adopted to obtain the vibration velocity of the chair frame and the relative motion velocity of the MR damper piston. A new skyhook control base with viscous damping tracking is applied to the semi-active seat suspension. In the simulation, compared with passive seat suspension under different displacement excitation (2, 4, 6, 8 Hz-sine, and random), the acceleration root mean square of the seat suspension with the MR damper is reduced by 52.2%, 32.2%, 41.3%, 50.8%, and 34.6%, respectively. In the experiment, the acceleration root mean square is reduced by 11.2%, 41.2%, 45.8%, and 31.5%, respectively under different displacement excitation (2, 4, 6, and 8 Hz-sine).

Damping characteristics of a magneto-rheological damper with dual independent controllable ducts

2021 ◽  
pp. 1045389X2110188
Author(s):  
Jianqiang Yu ◽  
Xiaomin Dong ◽  
Tao Wang ◽  
Zhengmu Zhou ◽  
Yaqin Zhou
Keyword(s):  
Dynamic Range ◽  
Fluid Flows ◽  
Mr Damper ◽  
Viscous Damping ◽  
The Novel ◽  
The Finite Element Method ◽  
Damping Force ◽  
Damping Characteristics ◽  
Magneto Rheological ◽  
The Mathematical Model

This paper presents the damping characteristics of a linear magneto-rheological (MR) damper with dual controllable ducts based on numerical and experimental analysis. The novel MR damper consisting of a dual-rod cylinder system and a MR valve is used to reduce the influences of viscous damping force and improve dynamic range. Driven by the dual-rod cylinder system, MR fluid flows in the MR valve. The pressure drop of the MR valve with dual independent controllable ducts can be controlled by tuning the current of two independent coils. Based on the mathematical model and the finite element method, the damping characteristics of the MR damper is simulated. A prototype is designed and tested on MTS machine to evaluate its damping characteristics. The results show that the working states and damping force of the MR damper can be controlled by the two independent coils.

Vibration suppression of railway vehicles using a magneto-rheological fluid damper and semi-active virtual tuned mass damper control

2019 ◽  
Vol 67 (6) ◽  
pp. 493-507
Author(s):  
Ji-Hwan Shin ◽  
Jin-Ho Lee ◽  
Won-Hee You ◽  
Moon K. Kwak
Keyword(s):  
Control Algorithm ◽  
Mr Damper ◽  
Tuned Mass Damper ◽  
Railway Vehicle ◽  
Car Body ◽  
Fluid Damper ◽  
Mass Damper ◽  
Damper Control ◽  
Magneto Rheological ◽  
Mr Fluid Damper

A semi-active virtual tuned mass damper (SAVTMD) control algorithm is developed to suppress vibrations of a railway vehicle by using magneto-rheological (MR) damper. To this end, a virtual-tuned-mass-damper control algorithm analogous to the tuned mass damper was developed prior to the semi-active application. The proposed SAVTMD control algorithm uses the acceleration of the car body directly, so that it is more practical than the sky-hook control algorithm that uses the velocity of the car body. The application of the SAVTMD control to a real MR fluid damper is discussed, and a step-by-step procedure to calculate the command voltage to the driver of the MR fluid damper is presented. A hardwarein-the-loop simulation system developed in the previous study is used to test the SAVTMD control algorithm. The theoretical and experimental results showed that the proposed SAVTMD control algorithm is more effective than is the semi-active sky-hook control in suppressing vibrations of the car body of the railway vehicle by the MR damper.

Series damper actuator system based on MR fluid damper

Robotica ◽  
2006 ◽  
Vol 24 (6) ◽  
pp. 699-710 ◽  
Author(s):  
Chee-Meng Chew ◽  
Geok-Soon Hong ◽  
Wei Zhou
Keyword(s):  
Force Feedback ◽  
Mr Damper ◽  
Viscous Damper ◽  
Control Loop ◽  
Bingham Model ◽  
Mr Fluid ◽  
Fluid Damper ◽  
Actuator System ◽  
Magneto Rheological ◽  
Mr Fluid Damper

In our recent work, we have proposed a novel force control actuator system called series damper actuator (SDA). We have since built an SDA system based on magneto-rheological fluid (MR) damper. In this paper, the dynamics property of SDA system based on the MR fluid damper (SMRDA) is investigated. The effect of the extra dynamics introduced by the MR fluid damper is revealed by comparing the SMRDA with the SDA system based on a linear Newtonian viscous damper (SNVDA). To linearize the constitutive property of the MR fluid damper, a modified Bingham model is proposed. A force feedback control loop is implemented after the linearization. An experimental SMRDA is built to illustrate the performance of the SDA system.

Study on Intelligent Control Strategy for Semi-Active Suspension System of Tracked Vehicle

2011 ◽  
Vol 48-49 ◽  
pp. 1162-1171 ◽  
Author(s):  
Yi Hui Zeng ◽  
Shao Jun Liu ◽  
Wei Cheng
Keyword(s):  
Root Mean Square ◽  
Intelligent Control ◽  
Pitch Angle ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
The Body ◽  
Mean Square ◽  
Tracked Vehicle ◽  
Magneto Rheological

Considering the multiple and complicated driving conditions for tracked vehicles and their structural features, a comprehensive intelligent control method to deal with semi-active suspension was proposed based on the principle of magneto rheological damper. One half of the tracked vehicle suspension system is taken as the research object, where analysis is directed to the vertical amplitude, pitch angle and vertical body acceleration response. And the magneto rheological damper was taken as an actuator, the fuzzy control was taken as feedforward and PID control was taken as feedback. The control system model has been established by using of the complex random road output to simulink due to the condition of MATLAB/Simulink. The simulation results show that it is of good real-time control competence, good robustness and high accuracy, etc. Contrasting to passive suspension, some capability parameters such as the body vertical amplitude, pitch angle and the body vertical acceleration of the semi-active suspension system can had been well controlled by using of the intelligent hybrid control method, for exmple, the root mean square value of vertical amplitude decreased by 37.2%，the root mean square value of pitch angle decreased by 45.2% and root mean square value of the vertical vibration acceleration decreased by 38.6%.

Superharmonics-Free Adaptive Semiactive Magneto-Rheological Suspension

2005 ◽  
Author(s):  
Xubin Song ◽  
Mehdi Ahmadian ◽  
Steve Southfield ◽  
Lane Miller
Keyword(s):  
Adaptive Control ◽  
Adaptive Algorithm ◽  
Vibration Suppression ◽  
Mr Damper ◽  
Adaptive Controller ◽  
System Stability ◽  
Structural Vibration ◽  
Vehicle Suspensions ◽  
Seat Suspension ◽  
Magneto Rheological

This paper focuses on laboratory implementation of a semiactive seat suspension with application of magneto-rheological (MR) dampers. We firstly introduce the nonlinear dynamics phenomena induced with the skyhook control that is now widely applied from structural vibration suppression to commercialized vehicle suspensions. However, superharmonic dynamics has not been clearly addressed in such vibration control systems. This paper tries to explain how superharmonics are created with skyhook controls through testing data analysis. Furthermore, in order to avoid this dynamics issue, this study implements a nonlinear model-based adaptive control into this MR damper based seat suspension. Based on a nonparametric MR damper model, the adaptive algorithm is expanded mathematically, and the system stability is discussed. Then in the following sections, this paper describes implementation procedures such as modeling simplification and validation, and testing results. Through the laboratory testing, the adaptive suspension is compared to two passive suspensions: hard-damping (stiff) suspension with max current of 1A to the MR damper, and low-damping (soft) suspension with minimum of 0A, while broadband random excitations are applied with respect to the seat suspension resonant frequency in order to test the adaptability of the adaptive control. Furthermore, mass and spring rate are assumed known and unknown for this adaptive controller to investigate the capability of this algorithm with the simplified model, respectively. Finally the comparison of testing results is presented to show the effectiveness and feasibility of the proposed adaptive algorithm to eliminate the superharmonics from the MR seat suspension.

Optimal Current Value Estimation for an Automotive Magneto Rheological (MR) Fluid Damper Actuation

2015 ◽  
Vol 812 ◽  
pp. 93-101 ◽  
Author(s):  
J. Jancirani ◽  
A.J.D. Nanthakumar ◽  
P. Niketh
Keyword(s):  
Finite Element ◽  
Mr Damper ◽  
Element Model ◽  
Damping Force ◽  
Element Analysis ◽  
Optimal Current ◽  
Value Estimation ◽  
Current Value ◽  
Magneto Rheological ◽  
Mr Fluid Damper

In this paper, a finite element analysis of a Magneto Rheological (MR) damper is carried over. A finite element model was constructed to analyse and examine the MR damper. The optimal current value for achieving the required damping force is found out. The results of the work can be used to develop more efficient and reliable MR damper, thereby reducing the time involved in prototyping the product.

Vibration Control of a MR Seat Damper for Commercial Vehicles

2000 ◽  
Vol 11 (12) ◽  
pp. 936-944 ◽  
Author(s):  
Seung-Bok Choi ◽  
Moo-Ho Nam ◽  
Byung-Kyu Lee
Keyword(s):  
Vibration Control ◽  
Commercial Vehicles ◽  
Damping Force ◽  
Mr Fluid ◽  
Loop Control ◽  
Seat Suspension ◽  
Large Size ◽  
Time Domains ◽  
Magneto Rheological ◽  
Mr Fluid Damper

This paper presents vibration control of a semi-active seat suspension with a magneto-rheological (MR) fluid damper, which is applicable to commercial vehicles such as large size of trucks. A cylindrical MR seat damper is designed on the basis of the Bingham model of the MR fluid. After manufacturing the seat damper, field-dependent damping force characteristics are experimentally evaluated. A semi-active seat suspension system installed with the seat damper is then constructed and its governing equation of motion is derived. A skyhook controller to reduce vibration level at the driver’s seat is formulated and realized in a closed-loop control fashion. The control responses, such as acceleration transmissibility, are investigated in both frequency and time domains. In addition, a full-vehicle model featuring the proposed semi-active seat suspension is established and its vibration control performances are evaluated via the hardware-in-the-loop simulation (HILS).

Simulation Study of Adaptive Magneto-Rheological Seat Suspension

2004 ◽  
Author(s):  
Xubin Song ◽  
Mehdi Ahmadian ◽  
Steve Southward ◽  
Lane Miller
Keyword(s):  
Simulation Study ◽  
Adaptive Algorithm ◽  
Simulation Analysis ◽  
Mr Damper ◽  
Adaptive Controller ◽  
Step Size ◽  
Seat Suspension ◽  
Model Based ◽  
Magneto Rheological ◽  
Adaptive Suspension

This paper describes the details of the simulation analysis of a nonlinear model-based adaptive suspension control system[1, 2]. The numerical aspect of the simulation study of a seat suspension with application of magneto-rheological dampers will be presented. Magneto-rheological (MR) dampers have strong nonlinearities such as bi-linearity, hysteresis, and saturation related to magnetism, which can be represented by appropriate mathematic functions, respectively. Thus the model-based adaptive algorithm becomes complicated because of involvement of MR damper models. One objective of this study is to investigate the effect of MR damper model simplifications on the adaptive suspension performance. Furthermore, simulation is also applied to do parametric study of adaptive algorithm parameters such as filtering and step size. The simulation results compare the proposed adaptive controller with passive dampers to validate not only its effectiveness but also obtain some guidance information for its experimental implementation.

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