Application of Fuzzy Control Technology in a Sonar-Based Obstacle Avoidance Intelligent Wheelchair

2013 ◽  
Vol 321-324 ◽  
pp. 2004-2008 ◽  
Author(s):  
Ting Su ◽  
Guo Hua Cao ◽  
Ji Hua Hu
Keyword(s):  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Control Technology ◽  
Application System ◽  
Intelligent Wheelchair ◽  
System Use ◽  
Measured Distance ◽  
Fuzzy Control Strategy

The paper presents a kind of application system combining fuzzy control technology and ultrasonic obstacle avoidance technology for the intelligent wheelchair (iwheelchair). The system use the ultrasonic measured-distance as the input signal and the output signal is the speed of the iwheelchair to avoid obstacle. The fuzzy controller is designed in Matlab platform and simulated according to the obtained fuzzy control strategy. The fuzzy control technology has been applied successfully in ultrasound obstacle avoidance system for the intelligent wheelchair.

Study on Uninterrupted Shift Transmission Shift Strategy Based on Fuzzy Control

2013 ◽  
Vol 791-793 ◽  
pp. 668-671
Author(s):  
Ke Gang Zhao ◽  
Hao Chang ◽  
Yong Liang Hu ◽  
Wei Hao Yao
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Experimental Results ◽  
Control Technology ◽  
Shift Quality ◽  
Shift Control ◽  
Shift Strategy ◽  
Fuzzy Control Strategy

Uninterrupted Shift Transmission (UST) is a novel vehicle transmission and which is introduced as the research object in this paper. It realizes torque uninterrupted shift by controlling dual multimode controlled shifter (MCS) modes and synchronizers. Fuzzy control technology is adopted in shift control strategy in order to improve its shift quality. Experimental results show that the fuzzy control strategy can improve the shift quality of UST effectively.

A Research on the Fuzzy Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 121-126 ◽  
pp. 2522-2526
Author(s):  
Ling Cai ◽  
Liang Ge
Keyword(s):  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Controller ◽  
Secondary Development ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Fuzzy Control Strategy

Several kinds of methods of energy management of hybrid electric vehicle (HEV) are analyzed. Based on the design requirement of a certain type of parallel HEV, the fuzzy control strategy of energy management is proposed. ADVISOR2002 is chosen as the simulation platform for secondary development, and the simulation results of the fuzzy control strategy and electric assist control strategy are compared. The simulation results indicate that the adaptive fuzzy controller can obviously improve the performance of HEV fuel economy and emissions.

scholarly journals Fuzzy Control Strategy Applied to Adjustment of Front Steering Angle of a 4WSD Agricultural Mobile Robot

Lámpsakos ◽  
2012 ◽  
pp. 31
Author(s):  
Henry Borrero-Guerrero ◽  
Rafael Bueno-Sampaio ◽  
Marcelo Becker
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Steering System ◽  
Steering Angle ◽  
Lateral Dynamics ◽  
Controller Performance ◽  
Fuzzy Control Strategy ◽  
Real Scale

This paper presents the preliminary studies of the control strategy based in fuzzy logic, projected for the steering system of AGRIBOT project that consist of a wheeled autonomous mobile robotic in real scale endowed with four independent steering and driven wheels (4WSD). In this work we present a preliminary fuzzy controller design applied to front steering angle, using a multivariable plant which incorporates simplified linear model of lateral dynamics of a vehicle whose input are linear combination of rear and front steering angles. The fuzzy control strategy was decided because provides flexible way to deploy with embedded systems. Simulations are used to illustrate the designed controller performance. We use Ackerman geometry to trace front steering angle that allows the vehicle to perform correctly a given maneuver preserving a minimum level of stability and maneuverability. The goal is to establish a relationship between steering input commands and the control commands to the actuators so that it is possible to adjust the attitude of the actuators over the movement axis, as the trajectory change.

Application of Fuzzy Control Theory in Obstacle Avoidance Simulation of Intelligent Wheelchair

2014 ◽  
Vol 597 ◽  
pp. 361-364 ◽  
Author(s):  
Fang Li
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Obstacle Avoidance ◽  
Information Acquisition ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Planning Problem ◽  
Fuzzy Logic Algorithm ◽  
Intelligent Wheelchair ◽  
Path Planning Problem

This paper introduces application of the fuzzy control theory in obstacle avoidance simulation of intelligent wheelchair. Aiming at the path planning problem of intelligent wheelchair, with information fuzzy theory, based on the information acquisition of ultrasonic sensors installed in the intelligent wheelchair, processed by fuzzy logic algorithm, then the fuzzy controller of fuzzy control theory was constructed in Matlab, so intelligent wheelchair obstacle avoidance simulation was conducted. The results show that this method can effectively avoid the obstacles, realize the continuous movement of intelligent wheelchair.

Study on the Fuzzy Control Strategy of Automobile Braking Stability

2013 ◽  
Vol 631-632 ◽  
pp. 1160-1165
Author(s):  
Yan Ning Deng ◽  
Zi E Zhou ◽  
Fa Zong Li
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Simulation Experiment ◽  
Fuzzy Controller ◽  
Stability Control ◽  
Automobile Driving ◽  
Good Stability ◽  
Braking Performance ◽  
Moment Control ◽  
Fuzzy Control Strategy

The article is put forward to using fuzzy control to improve brake stability, designing the fuzzy controller of automobile braking stability, determine the yawing moment control strategy. The simulation experiment indicates that braking stability of automobile that using fuzzy control has a good stability and security, the proposed control strategy can make automobile quickly recover to the expected driving lane after partial drove and maintain a good braking performance, the research shows that the proposed braking stability control strategy is effective and has certain significance for improving the safety of the automobile driving.

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.

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