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.

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 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.

Simulation Research on the Performance of Vehicle Suspension System

2013 ◽  
Vol 798-799 ◽  
pp. 378-381
Author(s):  
Li Hong Zhou
Keyword(s):  
Transfer Function ◽  
Ride Comfort ◽  
Suspension System ◽  
The Body ◽  
Vehicle Suspension ◽  
Simulation Research ◽  
Body Acceleration ◽  
Suspension Spring ◽  
Evaluation Indexes ◽  
Vehicle Suspension System

Simulation study of the quarter car model was carried out in this paper. The influence of the stiffness of the suspension spring and the damping on the performance of vehicle suspension system was analyzed by the evaluation indexes: transfer function of body acceleration, transfer function of suspension dynamic stroke, transfer function of tire dynamic deflection. The simulation results shown that increasing the stiffness of the suspension spring would reduce the vehicle's ride comfort and increase the value of the first natural frequency of the sprung mass. And increasing the damping would reduce the peak response of the body acceleration which increasing the vehicle's ride comfort, but at the cost of increasing the high frequency vibration.

Optimized Fractional-Order Proportional Integral Derivative Controller for Active Vehicle Suspension System Performance Enhancement

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
A.S. Emam ◽  
H. Metered ◽  
A.M. Abdel Ghany
Keyword(s):  
Fractional Order ◽  
Performance Enhancement ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Vehicle Stability ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Vehicle Suspension System

In this paper, an optimal Fractional Order Proportional Integral Derivative (FOPID) controller is applied in vehicle active suspension system to improve the ride comfort and vehicle stability without consideration of the actuator. The optimal values of the five gains of FOPID controller to minimize the objective function are tuned using a Multi-Objective Genetic Algorithm (MOGA). A half vehicle suspension system is modelled mathematically as 6 degrees-of-freedom mechanical system and then simulated using Matlab/Simulink software. The performance of the active suspension with FOPID controller is compared with passive suspension system under bump road excitation to show the efficiency of the proposed controller. The simulation results show that the active suspension system using the FOPID controller can offer a significant enhancement of ride comfort and vehicle stability.

Improvement of Ride Comfort by Preview Vehicle-Suspension System

1992 ◽  
Author(s):  
Sueharu Nagiri ◽  
Shun'ichi Doi ◽  
Shoh-ichi Shoh-no ◽  
Nobuo Hiraiwa
Keyword(s):  
Ride Comfort ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Vehicle Suspension System

Optimal Active Control of Vehicle Suspension System Including Time Delay and Preview for Rough Roads

2002 ◽  
Vol 8 (7) ◽  
pp. 967-991 ◽  
Author(s):  
Javad Marzbanrad ◽  
Goodarz Ahmadi ◽  
Yousef Hojjat ◽  
Hassan Zohoor
Keyword(s):  
Ride Comfort ◽  
Three Dimensional ◽  
Suspension System ◽  
Road Surface ◽  
Vehicle Suspension ◽  
Control Force ◽  
Preview Control ◽  
The Road ◽  
Road Surface Roughness ◽  
Vehicle Suspension System

An optimal preview control of a vehicle suspension system traveling on a rough road is studied. A three-dimensional seven degree-of-freedom car-riding model and several descriptions of the road surface roughness heights, including haversine (hole/bump) and stochastic filtered white noise models, are used in the analysis. It is assumed that contact-less sensors affixed to the vehicle front bumper measure the road surface height at some distances in the front of the car. The suspension systems are optimized with respect to ride comfort and road holding preferences including accelerations of the sprung mass, tire deflection, suspension rattle space and control force. The performance and power demand of active, active and delay, active and preview systems are evaluated and are compared with those for the passive system. The results show that the optimal preview control improves all aspects of the vehicle suspension performance while requiring less power. Effects of variation of preview time and variations in the road condition are also examined.

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