The Study of Vehicle Stability Based on Fuzzy Control

2012 ◽  
Vol 562-564 ◽  
pp. 1939-1942
Author(s):  
Jun Wei Li ◽  
Hui Jiang
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Reference Model ◽  
Slip Angle ◽  
Vehicle Stability ◽  
Fuzzy Control Strategy ◽  
Set Up ◽  
Multi Body ◽  
Vehicle Dynamic Model ◽  
Two Degree Of Freedom

Vehicle reference model with two degree of freedom and multi-body vehicle dynamic model are set up at first. This paper presents a Fuzzy control strategy to deal with the nonlinear, time-varying characteristics of the system, which can control the feedback of yaw rate and side slip angle. The simulation results show that the Fuzzy control method can remarkably enhance the handling stability and safety of the vehicle in complex road and driving conditions.

Energy Management System Optimal Strategy for Pure Electric Vehicle Based on the Dynamic Programming

2014 ◽  
Vol 556-562 ◽  
pp. 1472-1475 ◽  
Author(s):  
Bing Dong ◽  
Yan Tao Tian ◽  
Chang Jiu Zhou
Keyword(s):  
Dynamic Programming ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Management System ◽  
Control Method ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy Control ◽  
Energy Management System ◽  
Fuzzy Control Strategy

This thesis puts forward one optimal adaptive fuzzy control method based on the pure electric vehicle energy management system of the fuzzy control which has been founded already. By adding an optimizing researching model based on the conventional fuzzy control strategy, the thesis can pick up the valuable control rules based on the dynamic programming theory and also can adjust the parameter of the fuzzy controller automatically according to the system operating. These can make the sum of the energy loss reduce to the min. The experiment points out that this method makes the vehicle possess good economic performance in the same driving cycle.

The Fuzzy Control Method in Semi-Active Suspension

2010 ◽  
Vol 159 ◽  
pp. 644-649
Author(s):  
Jing Hua Zhao ◽  
Wen Bo Zhang ◽  
He Hao
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Reference Model ◽  
Active Suspension ◽  
Vibration Characteristic ◽  
Acceleration Signal ◽  
Logic Control

Based on the analysis of performance of vehicle and its suspension, half vehicle model of five DOF and road model were built and the dynamic equations of half vehicle were derived according to the parameters of a commercial vehicle. In addition, a novel fuzzy logic control system based on semi-active suspension was introduced to achieve the optimal vibration characteristic, with changing the adjustable dampers according to dynamic vertical body acceleration signal. The fuzzy control was designed based on non-reference model method that acceleration value was sent to the fuzzy controller directly. And then, simulation analysis of semi-active suspension with fuzzy control method were implemented on the B-class road surface. The results showed that the semi-active suspension control system introduced in this paper has better performance on vieicle vibration characteristic, compared to passive suspension.

The Research of Damping Adjustable Isolators Control Method

2013 ◽  
Vol 774-776 ◽  
pp. 44-47
Author(s):  
Bo Jiang
Keyword(s):  
Fuzzy Control ◽  
Mechanical Model ◽  
Control Method ◽  
Simulation Analysis ◽  
Degree Of Freedom ◽  
Matlab Software ◽  
Fluid Damping ◽  
Two Degree Of Freedom

The mechanical model of the electro-rheological fluid damping adjustable isolator is established. Then the two degree of freedom vibration adjusting system of engine and car frame is built. The PD fuzzy control method is used to control the damping characteristic of the damping adjustable isolator. Simulation analysis is executed by using Matlab software. The datum of simulation analysis indicates that the isolation capability of the PD fuzzy control electro-rheological fluid damping adjustable isolator is well.

Simulation Analysis of Tractor AMT Shifting Process Based on Fuzzy Optimization of Downshifting

2012 ◽  
Vol 468-471 ◽  
pp. 970-975
Author(s):  
Zhi Li Zhou ◽  
Ming Xing Xing ◽  
Li You Xu ◽  
Jin Quan Ding ◽  
Yan Ke Zhao
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Fuzzy Optimization ◽  
Wheel Slip ◽  
Slip Ratio ◽  
The Law ◽  
Input Variables ◽  
Fuzzy Control Strategy

In this paper, the fuzzy control strategy is introduced, and then it proposes a two-dimensional fuzzy control method which takes the tractor driving wheel slip ratio and the engine throttle opening as input variables, while uses gear correction as output variable. Based on these, a fuzzy controller is designed to optimize the law of downshifting of tractor AMT. Subsequently, a best tractor AMT shift rule is formed through optimal combination of resolution obtained by the law of up-shifting. At last, simulation analysis is made on the basis of the simulation model established of tractor AMT shifting process. The results show that shift cycle can be effectively avoided and shift shock will reduced in the process of shifting, which makes the quality of shifting better and greatly improve the performance of the tractor.

A Fuzzy Synthesis Control Scheme and Optimization for Vehicle Dynamic Stability System

2007 ◽  
Author(s):  
Yunqing Zhang ◽  
Si Gao ◽  
Lingyang Li ◽  
Liping Chen ◽  
Jingzhou Yang ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
High Speed ◽  
Control Method ◽  
Stability Control ◽  
Surface Model ◽  
Vehicle Stability ◽  
Control Parameters ◽  
Vehicle Dynamic ◽  
Sideslip Angle

Vehicle stability control system can enhance the vehicle stability and handling in the emergency situations through the control of traction and braking forces at the individual wheels. This paper presents a Fuzzy synthesis control strategy with an ideal 2-DOF linear model and optimization of the control parameters. The control strategy consists of Fuzzy control of two control objectives (yaw velocity ω and sideslip angle β). Fuzzy functions can adjust and control these two objectives and through Matlab Fuzzy control unit & ADAMS multi-body vehicle dynamic model we obtain optimized simulation. The co-simulation scenario is on iced road with a single sine steering angle input and in a high speed. The control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). The simulation results show that the handling stability and safety of the vehicle can be enhanced by the Fuzzy control method that can adapt complex road and driving conditions.

Soft Measurement Technology for Tractor-Semi Trailer

2014 ◽  
Vol 494-495 ◽  
pp. 821-824
Author(s):  
Chao Yi Wei ◽  
Xu Guang Li ◽  
Mei Zhi Xie ◽  
Feng Yan Yi
Keyword(s):  
Covariance Matrix ◽  
Estimation Accuracy ◽  
Slip Angle ◽  
Measurement Technology ◽  
Noise Covariance Matrix ◽  
Measurement Noise Covariance ◽  
Noise Covariance ◽  
Set Up ◽  
Three Degree Of Freedom ◽  
Vehicle Dynamic Model

A three degree of freedom vehicle dynamic model of a tractor semi trailer is established and a simulation mode is set up with the Matlab/simulink software. Then, design a Kalman state estimator, using easily measured parameters to estimate the tractor side slip angle, trailer yaw rate those are difficult measured or measuring in high cost; the simulation show that: the estimated value coming from estimator agree well with the simulation measurements, and can improve the estimation accuracy by adjusting the process noise covariance matrix and measurement noise covariance matrix.

The Simulation Study of the Car Curve Traveling Traction Control System

2013 ◽  
Vol 328 ◽  
pp. 639-643
Author(s):  
Wei Zhao ◽  
Ning Ning Wang ◽  
Yan Yan Duan ◽  
Jian Guo Xi
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Fuzzy Controller ◽  
Stability Control ◽  
Driving Safety ◽  
Slip Angle ◽  
Vehicle Stability ◽  
Force Model ◽  
Slip Ratio ◽  
The Impact

Article on the basis of analysis the impact of changes on the braking force in the tire vertical load and slip angle when the car turns, using the generated neural network force model of the tire, to find the optimum value of the slip ratio of the tire under different parameters. For the case of deviating from the expected running track when the car curve traveling. It puts forward the control strategy of using yaw moment technology to control vehicle stability, vehicle stability fuzzy controller is designed, cars driving in curve conditions are simulated. The results showed that the use of neural network seeks to control of identification of the tire characteristics and longitudinal forces optimal slip rate, can reduce the risk of deviations from the expected running track when cars driving in curve, improve tracking ability of the car driving in curve, it proposed the stability control method for improve driving safety has a certain significance.

scholarly journals Integrated control performance of drive-by-wire independent drive electric vehicle

2019 ◽  
Vol 10 ◽  
pp. 16
Author(s):  
Ling Yu ◽  
Sunan Yuan
Keyword(s):  
Electric Vehicle ◽  
Control Method ◽  
Reference Model ◽  
Integrated Control ◽  
Vehicle Stability ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
The Stability ◽  
Yaw Moment

In order to improve the stability and safety of vehicles, it is necessary to control them. In this study, the integrated control method of drive-by-wire independent drive electric vehicle was studied. Firstly, the reference model of electric vehicle was established. Then, an integrated control method of acceleration slip regulation (ARS) and direct yaw moment control (DYC) was designed for controlling the nonlinearity of tyre, and the simulation experiment was carried out under the environment of MATLAB/SIMULINK. The results showed that the vehicle lost its stability when it was uncontrolled; under the control of a single DYC controller, r and β values got some control, but the vehicle stability was still low; under the integrated control of ARS+DYC, the vehicle stability was significantly improved; under the integrated control method, the overshoot, regulation time and steady-state error of the system were all small. Under the simulation of extreme conditions, the integrated control method also showed excellent performance, which suggested the method was reliable. The experimental results suggests the effectiveness of the integrated control method, which makes some contributions to the further research of the integrated control of electric vehicles.

Diesel Engine Running at Constant Speed Base on Fuzzy Control Strategy

2015 ◽  
Vol 713-715 ◽  
pp. 893-896
Author(s):  
Fei Wu
Keyword(s):  
Diesel Engine ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Engine Speed ◽  
Functional Relationship ◽  
Control Method ◽  
Oil Quality ◽  
Variation Rate ◽  
Fuzzy Control Strategy

The functional relationship among the cylic oil quality of diesel engine, rack displacement and the engine speed was obtained by Orthogonal Test, significance of the regression equation was test by variance analysis. Based on the model, using the fuzzy control method, the voltage to stepping motor was controlled by the method according to the engine speed and its variation rate, which can controll the diesel engine speed percisely. From the simulation result, it shows that the diesel engine run at the range of the set speed effectively by the fuzzy control strategy, and controlling effect is significant.

Different Fuzzy Controllers Analysis for MR Structures

2012 ◽  
Vol 204-208 ◽  
pp. 2874-2877
Author(s):  
Ying Qing Guo
Keyword(s):  
Fuzzy Control ◽  
Intelligent Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Fuzzy Rules ◽  
Membership Functions ◽  
Fuzzy Controllers ◽  
Mr Dampers ◽  
Fuzzy Control Strategy ◽  
Simulated Analysis

The fuzzy control technology is a kind of intelligent control method, and it has strong robustness. The fuzzy control strategy is used to choose the control currents of MR dampers in this paper. In order to illustrate how to design the fuzzy controller, three kinds of the fuzzy controller having different membership functions and fuzzy rules are designed. A five-floor MR structure using the designed different fuzzy controllers is simulated. Analysis results show that for the MR structure, it is not best that MR dampers provide the maximum forces to the structure, so the displacement and acceleration responses of the structure must be weighed at the same time to make MR dampers provide reasonable forces when the membership functions and fuzzy rules are designed.

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