scholarly journals Research on ride comfort of vibratory rollers: Part-2 Cab’s semi-active HPM with fuzzy control

2021 ◽  
Author(s):  
Vanliem Nguyen ◽  
Yuehan Li ◽  
Xiaoyan Guo ◽  
Yan Kang
Keyword(s):  
Fuzzy Control ◽  
Ride Comfort

Vibration Performance Optimization of the Semi-Active Suspension with Fuzzy Control Method

2012 ◽  
Vol 468-471 ◽  
pp. 1123-1127
Author(s):  
Jin Ning Zhi ◽  
Jian Wei Yang ◽  
Jun Zhe Dong
Keyword(s):  
Fuzzy Control ◽  
Dynamic Load ◽  
Performance Optimization ◽  
Ride Comfort ◽  
Control Method ◽  
Heavy Vehicle ◽  
Variable Universe ◽  
Suspension Parameters ◽  
Variable Universe Fuzzy Control ◽  
Five Axis

In order to improve the dynamic performance of five-axis heavy vehicle, a variable universe fuzzy control method is proposed to optimize suspension parameters. Five-axis multi-body dynamic model including electro-hydraulic proportional valve was firstly established in software ADAMS/Car. The variable universe fuzzy controller based on fuzzy neural network was also designed in MATLAB/Simulink, and then the co-simulation was conducted. The dynamic characteristics of five-axis heavy vehicle are studied to verify the effect of suspension parameters optimized by variable universe fuzzy control method in the A, B and C-level random pavement and different speed conditions. Simulation results show that compared with passive suspension, the real-time optimization of variable fuzzy control based on FNN can improve the ride comfort and the dynamic load of tire. Under different driving conditions, ride comfort can be increased by about 25%-30%, and the dynamic load of tire generally decreases by 25%-35%. Therefore this method has a certain practicability and effectiveness.

scholarly journals Enhancing vehicle suspension system control performance based on the improved extension control

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401877386 ◽  
Author(s):  
Hongbo Wang
Keyword(s):  
Fuzzy Control ◽  
System Performance ◽  
Ride Comfort ◽  
Control Method ◽  
Domain Boundary ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Classical Domain ◽  
Vehicle Suspension System ◽  
Takagi Sugeno

Vehicle suspension system is the key part in vehicle chassis, which has influence on the vehicle ride comfort, handling stability, and security. The extension control, which is not constrained by common control method, could further improve the suspension system performance. The 7 degree-of-freedom suspension model is built. The extension controller is designed according to the function differences. In different extension set domains according to the correlation function, the corresponding control strategy is designed to ensure the suspension system obtains optimal performance in the classical domain and expands the controllable range outside the classical domain as large as possible. By adopting game theory, the domain is optimally divided, and the domain boundary control jump is smoothed by introducing Takagi–Sugeno–Kang fuzzy control into the extension control. Through the simulation and results comparison, it is demonstrated that the extension control could further improve the vehicle ride comfort than the optimal control and the extension control ability can be further promoted through domain game and Takagi–Sugeno–Kang fuzzy control. The analysis of the influence of the extension controller parameter varieties on suspension system performance shows that the error-weighted coefficient and control coefficient have significant effect to the suspension system performance.

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.

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.

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.

Semi-Active Landing Gear with MR Fluid Damper Based on ADAMS&MATLAB Co-Simulation

2011 ◽  
Vol 228-229 ◽  
pp. 363-367
Author(s):  
S. S. Pawale ◽  
Hai Jun Wang
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Ride Comfort ◽  
Mr Damper ◽  
Simulation Method ◽  
Landing Gear ◽  
Design Development ◽  
Mr Fluid ◽  
Matlab Simulink ◽  
Fuzzy Control Strategy

According to MR fluid properties and MR damper structure, a multi-body dynamic model of semi-active landing gear was built by using virtual prototype in ADMAS/Aircraft. Fuzzy control system for the semi-active landing gear with MR damper was designed under the MATLAB/Simulink environment. Co-Simulation of ADAMS/Aircraft and MATLAB/Simulink were carried out. The simulation results show that semi-active landing gear with MR damper based on fuzzy control strategy can reduce the aircraft’s vibration and improve the ride comfort characteristics. Co-simulation method provides one simple feasible method for the process of landing gear design, development and manufacture. It also offers a new way to advance designing quality for complex dynamic system and control strategy simulation.

scholarly journals Bounded Interval Fuzzy Control for Half Vehicle’s Active Suspension System

2019 ◽  
Vol 8 (3) ◽  
pp. 1625-1637
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Ride Comfort ◽  
Suspension System ◽  
The Body ◽  
Vehicle Suspension ◽  
Membership Functions ◽  
Bounded Interval ◽  
Knowledge Rules ◽  
Vehicle Suspension System

A novel efficient control scheme for an active vehicle suspension system is to be designed and simulated in this paper. A half car model has been designed and controlled using two different schemes of standard fuzzy control and bounded interval fuzzy control using MATLAB/SIMULINK. The bounded interval fuzzy control is designed to reduce the uncertainties in the fuzzy sets system and solve the non-linear control problem that the standard fuzzy control cannot handle it. It should be noted that fuzzy logic system is capable of dealing with imprecise concepts and numerous vague but the design of membership functions is nontrivial task. This is because of uncertainty degree that is caused due to road inputs profiles, fuzzy knowledge rules and immeasurable disturbance. The proposed method is expected to be able to mimic the heuristic knowledge of design the membership functions which depends on degree of uncertainty. The membership functions will be generated online during the process in order to deal with uncertainties. The simulation results have demonstrated that the proposed control exhibits better performance and stability as compared to standard fuzzy logic. In addition, the proposed scheme presents a preferable solution and balancing achievement between ride comfort and handling performance. These results demonstrated that the body accelerations and tire dynamic loads will be reduced for the vehicle suspension system in either automobiles or robotics suspension systems.

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