The CO-Simulation Research of Vehicle Active Suspension Based on Fuzzy Control

2013 ◽  
Vol 668 ◽  
pp. 415-419
Author(s):  
Zhi Gang Huang ◽  
Jin Gang Ding ◽  
Ke Liu ◽  
Xiao Dong Bao
Keyword(s):  
Fuzzy Control ◽  
Dynamic Model ◽  
Vehicle Dynamics ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Active Suspension ◽  
Simulation Research ◽  
Matlab Simulink ◽  
The Road ◽  
Suspension Model

Based on the vehicle dynamics theory, the 2-DOF active suspension model was studied to establish its dynamic model and the road model. Besides, the fuzzy controller were designed with dynamic deflection of the suspension as the controlling object. The 2-DOF active suspension model was established in Adams/View and the stochastic uneven road model was established in Matlab/Simulink in combination of the fuzzy controller to joint CO-Simulation analysis . The results show that the active suspension can effectively suppress vehicle vibration, and improve the riding performance and security.

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.

Simulation of Hydraulic Semi-Active Suspension System Based on the Adaptive Fuzzy Control

2011 ◽  
Vol 48-49 ◽  
pp. 1065-1068
Author(s):  
Zhi Xuan Jia ◽  
Hui Gang Zhang ◽  
Jie Li
Keyword(s):  
Fuzzy Control ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy Control ◽  
Active Suspension ◽  
Vertical Vibration ◽  
Suspension System ◽  
Suspension Control ◽  
Suspension Model ◽  
Suspension Structure

According to vehicle suspension structure, a 2-DOF (degrees of freedom) semi-active hydraulic suspension model for 1/4 vehicle is built. Fuzzy control as a result of simple modeling, with high precision control and non-linear adaptive advantages of the vehicle active suspension control strategy, has been a wider application. In this paper, the body’s speed and acceleration were selected for the fuzzy controller inputs, damper output, to realize the semi-active suspension control. Taking some type of vehicle as the simulation object, this paper uses Matlab/Simulink for computer simulation in the same road conditions. And the performance parameters of improving vehicle vertical vibration are compared to the passive suspension. The results show that the semi-active suspension system strategy by fuzzy control can obviously improve the comfortable and safe ride.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

Simulation Research of Wind Power Rotate Speed Based on Cloud Model of Fuzzy Reasoning PID Control

2013 ◽  
Vol 816-817 ◽  
pp. 857-861
Author(s):  
You Jun Yue ◽  
Yue Xu ◽  
Hui Zhao ◽  
Hong Jun Wang
Keyword(s):  
Wind Speed ◽  
Fuzzy Control ◽  
Wind Power ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Cloud Model ◽  
Fuzzy Reasoning ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Speed Change

When wind turbine works under rated wind speed, we often use fuzzy controller to control rotate speed and keep the best sharp blade speed to achieve the aim of capture the largest wind power. Due to the nonlinearity of wind power, the uncertainty of timely change and other factors, though fuzzy PID control is the combination of fuzzy control and PID control, which can solve the problem of nonlinear very well, it focuses only on the fuzziness, and fails to consider the random error brought by wind speed change. Therefore this paper designed fuzzy reasoning PID controller based on cloud model on the base of analyzing parameters of wind power and advantage as well as shortage of both PID control and fuzzy control. Then start the RT-LAB simulation platform. The simulation result proved that this method can effectively depress the overshoot. And its stability and dynamic speed response is better than PID control and fuzzy control. It achieved ideal result.

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.

Design and Simulation Analysis on Self-Tuning Fuzzy Controller Based on Scaling Factor and Quantitative Factor

2014 ◽  
Vol 539 ◽  
pp. 630-634
Author(s):  
Jie Liang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Moral Education ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Modern Science ◽  
Fast Response ◽  
Quantitative Factor ◽  
Self Tuning ◽  
Scientists And Engineers

Along with the development of modern science and technology information, fuzzy control theory based on its unique advantage becomes more and more popular with scientists and engineers, therefore it is quickly applied to all walks of life, and is one of the advanced teaching theory introduced in educational industry. Firstly, on the basis of mapping between classical set and fuzzy set, the paper comprehensively analyzes the intelligent fuzzy control theory. Based on the improved fuzzy controller which is self-correcting through scale factor and quantification factor, we establishes the fuzzy control model of moral education. In order to verify the feasibility of the model, we design the fuzzy controller to carry out the applied simulation by using the MATLAB fuzzy logic toolbox, and the results show that the system has fast response, strong adaptability, and good steady-state performance.

Temperature Control System Based on Electronic Boiler

2013 ◽  
Vol 325-326 ◽  
pp. 1197-1201
Author(s):  
Guo Sheng Xu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Fuzzy Controller ◽  
System Simulation ◽  
Temperature Control System ◽  
Control Effect ◽  
Simulation Research ◽  
Control Regulation ◽  
Control Scheme

Research has been done aimed at the boiler's temperature control system, and available control scheme is put forward. Combining with the output response of control system, simulation research and the control regulation of fuzzy controller are done to analyse, after experiments for many times repeatedly, fuzzy control regulation is ensured. The simulation result indicates that control effect is ideal, which means this scheme is identified as ideal temperature control system scheme.

Study on Overhead Crane Anti-Swing System with Self-Adjustable Fuzzy Control

2011 ◽  
Vol 128-129 ◽  
pp. 1050-1053 ◽  
Author(s):  
Ding Ye ◽  
Wei Jin ◽  
De Cai Li
Keyword(s):  
Control System ◽  
Steady State ◽  
Fuzzy Control ◽  
Dynamic Model ◽  
Position Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Overhead Crane ◽  
Scale Factors

As for shortcomings of PID and modern control method in crane anti-swing system, we introduce the fuzzy theory to the crane anti-swing on base of analyzing the crane trolley’s moving dynamic model. The cooperation between the position fuzzy controller and swing fuzzy controller achieve the goal. We use the fuzzy control system of self-adjustable quantization factors and scale factors to solve the problem that have the oscillation in limit areas causing the load lasting swing during the trolley moving position control. According to the simulation, it can solve the problem and eliminate the steady-state error completely and improve enhance the adaptivity of system. It can make the trolley reach the designation in 15s and keep the load steady.

Integrated vehicle dynamics control using semi-active suspension and active braking systems

2017 ◽  
Vol 232 (3) ◽  
pp. 314-329 ◽  
Author(s):  
Abbas Soltani ◽  
Ahmad Bagheri ◽  
Shahram Azadi
Keyword(s):  
Vehicle Dynamics ◽  
Ride Comfort ◽  
Unscented Kalman Filter ◽  
Sliding Mode ◽  
Active Suspension ◽  
Stability Control ◽  
Linear Estimator ◽  
Vehicle Handling ◽  
The Road ◽  
Non Linear

This article presents an integrated control of yaw, roll and vertical dynamics based on a semi-active suspension and an electronic stability control with active differential braking system. During extreme manoeuvres, the probability of vehicle rollover is increased and the stability of lateral and yaw vehicle motions is deteriorated because of the saturation of tyre forces. Furthermore, when the road excitation frequencies are equal to the natural frequencies of the unsprung masses, the resonance phenomena occurs, which causes some oscillations getting revealed on responses of the yaw and lateral vehicle dynamics. In these situations, the active braking alone cannot be helpful to improve the vehicle handling and stability, considerably. In order to overcome these difficulties, a coordinated control of the semi-active suspension and the active braking is proposed, using a fuzzy controller and an adaptive sliding mode controller, respectively. A non-linear full vehicle model with 14 degrees of freedom is established and combined with the modified Pacejka tyre model. As the majority of vehicle dynamics variables and the road profile inputs cannot be measured in a cost-efficient way, a non-linear estimator based on unscented Kalman filter is designed to estimate the entire vehicle dynamics states and the road unevenness. Simulation results of the steering manoeuvres on the random road inputs show that the proposed chassis system can effectively improve the vehicle handling, stability and ride comfort.

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