MRF Hydraulic Mount System of Coach and Research of its Fuzzy Control

2013 ◽  
Vol 284-287 ◽  
pp. 2261-2265
Author(s):  
Yang Zhang ◽  
Zhao Bo Chen ◽  
Ying Hou Jiao
Keyword(s):  
Fuzzy Control ◽  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Large Degree ◽  
Model Design ◽  
Six Degrees Of Freedom ◽  
Vibration Model ◽  
Isolation Requirements ◽  
Set Up

Current coach mainly use the passive rubber mount system to isolate vibration, it’s hard to meet the engine broadband range isolation requirements. In order to reduce the coach engine vibration’s influence on the ride comfort and operational stability, it’s proposed that a magnetorheological fluid powertrain mount system. Set up the six degrees of freedom dynamic model and 1/4 engine single freedom vibration model. Design a fuzzy controller, which the input is dynamic exciting force and second order main frequency, the output is control current. Simulate the three types systems with the help of software of MATLAB/SIMULINK and Fuzzy control toolbox. The result shows that when fuzzy controller works, adjustable damping effect is obvious, it can attenuate vibration in large degree. The magnetorheological hydraulic mount with the fuzzy control ,compared with rubber mount and traditional hydraulic mount, has better isolation effect. Its damp can be controlled real-time, and it can be effective in isolation within the broadband.

The Vibration Analysis of Five Degrees of Freedom Man-Vehicle-Road Coupled Model

2013 ◽  
Vol 765-767 ◽  
pp. 361-365
Author(s):  
Pei Cheng Shi ◽  
Wen Chen Xie
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Coupled Model ◽  
Reference Value ◽  
Response Characteristics ◽  
Vibration Model ◽  
Study Results ◽  
Road Surface Roughness ◽  
The Mathematical Model ◽  
The Relationship

The 5-DOF man-vehicle-road coupled vibration model is established by the relationship among three interactions of man-vehicle-road and the vibration differential equation of the 5-DOF man-vehicle-road model is obtained by Newtons method. The mathematical model is conversed into the derived simulation model based on MATLAB/SIMULINK software. The vibration characteristics of the 5-DOF couple model are analyzed by the excitations of ride speed and random road surface roughness time series since the corresponding parameters have been set. The paper demonstrates the acceleration curves and their response characteristics of the bodywork and man-chair system. The study results have a guiding significance and reference value to analyze the vehicle ride comfort.

scholarly journals Effect of operating conditions on a heavy truck ride comfort with hydro-pneumatic suspension system

2021 ◽  
Vol 304 ◽  
pp. 02011
Author(s):  
Le Xuan Long ◽  
Dang Viet Ha ◽  
Le Van Quynh ◽  
Bui Van Cuong ◽  
Vu Thanh Niem
Keyword(s):  
Ride Comfort ◽  
Surface Condition ◽  
Operating Conditions ◽  
Dump Truck ◽  
Vibration Model ◽  
Pneumatic Suspension ◽  
Heavy Truck ◽  
Set Up ◽  
Mining Dump Truck ◽  
Vehicle Vibration Model

The purpose of this paper is to analyze the performance of the hydro-pneumatic suspension system (HPSs) of a mining dump truck on ride comfort under operating conditions. To achieve goals, a 3-D full-vehicle vibration model of a mining dump truck with 10 degrees of freedom is set up to analyze the effects. A nonlinear mathematical model is set up based on the nonlinear characteristics of the HPSs to determine their vertical force which is connected with a 3-D full-vehicle vibration model. The effects of operating conditions on a heavy truck ride comfort are respectively analyzed through the values of the root mean square of acceleration responses of the vertical cab, pitch and roll angles of cab (awc, awphi and awteta). The analysis results indicate that the survey conditions have a great influence on vehicle ride comfort. Especially, the values of awc, awphi and awteta with the poor road surface condition respectively reduce by 43.1%, 45.9% and 61.8% compared to the very poor road surface condition at vehicle speed of 30 km/h and full load.

Fuzzy Control of Tracked Vehicle’s Semi-Active Suspension System Based on LMS

2014 ◽  
Vol 602-605 ◽  
pp. 1313-1316 ◽  
Author(s):  
Xiao Dong Gao ◽  
Liang Gu ◽  
Ji Fu Guan ◽  
Jun Feng Gao
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Adaptive Control System ◽  
Vehicle Model ◽  
Tracked Vehicle ◽  
Change Rate ◽  
Set Up

A half tracked vehicle model was established based on LMS, a co-simulation interface between control algorithm of MATLAB and physical model of LMS was set up. Fuzzy controller with PID regulator was proposed to achieve controlling strategy based on half tracked vehicle model. With suspension stroke and its change rate as input parameters of fuzzy controller, the dynamic adjusting parameters of PID controller are acquired through fuzzy controller, then a semi-active suspension vehicle adaptive control system was formed. The simulation result shows that the adaptive control system can effectively coordinate the contradiction acceleration and dynamic travel in different bands, the ride comfort tracked vehicle is significantly improved.

Fuzzy Control of a Pneumatic Muscle Driven Parallel Robot for Ankle Rehabilitation

2009 ◽  
Author(s):  
Prashant K. Jamwal ◽  
Shane Xie ◽  
Jack Farrant
Keyword(s):  
Fuzzy Control ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Parallel Robot ◽  
Modeling And Control ◽  
Pneumatic Muscle ◽  
Linear Behavior ◽  
Improved Performance ◽  
Unpredictable Environment ◽  
And Control

A new wearable parallel robot has been designed and constructed for ankle joint rehabilitation treatments. The robot employs four pneumatic muscle actuators (PMA) together with cables to achieve three rotational degrees of freedom (dof) of its end platform. Parallel topology of the robot, unpredictable environment along with the time varying and non-linear behavior of actuators impose modeling and control challenges which are difficult to comprehend. In this paper an optimal fuzzy dynamic model of the pneumatic muscle has been developed to accurately predict the muscle behavior. The model is capable of mapping the complex relationship in length, force and pressure of the PMA with higher accuracy. This model has been further used to develop a fuzzy control scheme for the ankle robot. Experimental results are obtained to study and model the simultaneous actuation of all the actuators. Comparison with the previous dynamic modeling and control schemes demonstrates an improved performance of the proposed fuzzy controller.

OPTIMAL FUZZY CONTROL OF A SEMI-ACTIVE SUSPENSION OF A FULL-VEHICLE MODEL USING MR DAMPERS

2005 ◽  
Vol 19 (07n09) ◽  
pp. 1513-1519 ◽  
Author(s):  
HAO WANG ◽  
HAIYAN HU
Keyword(s):  
Optimal Control ◽  
Fuzzy Control ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Angular Acceleration ◽  
Current Control ◽  
Vehicle Model ◽  
Restoring Force ◽  
Mr Dampers ◽  
Full Vehicle

MR (Magneto-Rheological) dampers have turned out to be a promising device for improving the ride comfort of ground vehicles. However, the current control algorithms for MR dampers, including on-off control and clipped-optimal control, are not sufficiently effective. This paper presents a fuzzy control strategy for an MR damper in order to determine the input voltage according to the desired restoring force. It then goes on using this new strategy to reduce the suspension vibration of a full-vehicle model equipped with 4 MR dampers, where the desired restoring forces are determined through the optimal control of suspension system. The numerical simulations indicate that the optimal fuzzy control can effectively reduce the suspension vibration of the full-vehicle model, especially the pitch angular acceleration and the roll angular acceleration of the sprung mass, and offers better ride comfort, running safety and handling stability than the clipped-optimal control. The design of the fuzzy controller is independent of the control system. Furthermore, fuzzy controller can also be extended to other applications of MR dampers, together with other control strategies.

Vehicle Dynamics Modeling Based on Vortex

2014 ◽  
Vol 624 ◽  
pp. 289-292
Author(s):  
Ting Jin ◽  
Yun Qiu Gong ◽  
Chun Yu Wei
Keyword(s):  
Vehicle Dynamics ◽  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Dynamics Modeling ◽  
Dynamics Model ◽  
Six Degrees Of Freedom ◽  
Calculation Results ◽  
Vehicle Motion ◽  
Vehicle Suspension System ◽  
Vehicle Dynamics Modeling

The six degrees of freedom platform in vehicle driving simiulator simulates vehicle motion based on the calculation results of the dynamics model, so good dynamics model is the basis and prerequisite of simulator’s good performance. This paper describes the process of applying the Vortex software to establish vehicle dynamics model and focuses on the problem of damping matching in the vehicle suspension system based on the ride comfort and stability.

Fuzzy Control of Vehicle Suspension System

2011 ◽  
Vol 383-390 ◽  
pp. 2012-2017 ◽  
Author(s):  
Guo Quan Yang ◽  
You Qun Zhao
Keyword(s):  
Fuzzy Control ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Suspension System ◽  
The Body ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Body Acceleration ◽  
Vehicle Suspension System ◽  
Fuzzy Logic Technique

In this paper, a semi-active suspension system has been proposed to improve the ride comfort, and a 2 DOF vehicle system is designed to simulate the actions of vehicle suspension system. The purpose of a suspension system is to support the vehicle body and increase ride comfort. The aim of the work described in the paper was to illustrate the application of fuzzy logic technique to the control of a continuously damping automotive suspension system. The ride comfort is improved by means of the reduction of the body acceleration caused by the car body when road disturbances from smooth road and real road roughness. Based on MATLAB fuzzy control toolbox, fuzzy controller is designed. Simulation analysis of suspension system is preceded by using MATLAB/Simulink7.0. The result shows that this control can improve the body acceleration, suspension distortion etc.

scholarly journals Benefits of Six Degrees of Freedom for Optically Driven Patient Set-up Correction in SBRT

2008 ◽  
Vol 7 (3) ◽  
pp. 187-195 ◽  
Author(s):  
Maria Francesca Spadea ◽  
Guido Baroni ◽  
Marco Riboldi ◽  
Rosa Luraschi ◽  
Barbara Tagaste ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Six Degrees Of Freedom ◽  
Set Up

Fuzzy Controller for Semi-Active Automobile Suspension System under Random Profiled Road Input

2014 ◽  
Vol 668-669 ◽  
pp. 474-477
Author(s):  
Qi Hua Ma ◽  
Jing Luo ◽  
Chun Yan Zhang
Keyword(s):  
Ride Comfort ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Body ◽  
Control Laws ◽  
Passive Suspension ◽  
External Conditions ◽  
Set Up

The suspension system is one of the most important parts of the automobile. The suspension system has an important influence on the ride comfort and maneuverable stability of the automobile. As structure parameters of traditional passive suspension cannot adaptively change with external conditions, the improvement of dynamic performance is difficult. Tow-DOF and four-DOF suspension of vehicle model is set up in this paper. Under random profiled road input simulated by using Runge-Kutta method, the control laws of fuzzy controller are adjusted by using different weight coefficients and use Matlab software to simulate the performances. Then, the results are compared and the performances are analyzed between passive suspension and semi-active suspension. The simulation results show the semi-active suspension is more effective for decreasing the vibration of vehicle body than the passive suspension, and designed fuzzy controller is effective for controlling the active controller of the semi-active suspension.

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