Mobile Robot Path Tracking Based on Fuzzy Control

2015 ◽  
Vol 727-728 ◽  
pp. 736-739
Author(s):  
Ming Ming Bian ◽  
Jin Lan Zhang
Keyword(s):  
Angular Velocity ◽  
Fuzzy Control ◽  
Mobile Robot ◽  
Control Method ◽  
Driving Behavior ◽  
Path Tracking ◽  
Angle Error ◽  
Robot Controller ◽  
Inspection Robot ◽  
Robot Path

A model for a mobile inspection robot is introduced. Based on human driving behavior, a fuzzy control method for mobile robot path tracking is proposed. Angular velocity controller is established by distance error and angle error. Angular velocity is controlled to implement path tracking of the wheeled mobile robot. Experimental results show that the effectiveness of the inspection robot controller is good and it is effective.

A Mobile Robot Path Tracking Method Based on Fuzzy Logic and Artificial Emotion

2014 ◽  
Vol 615 ◽  
pp. 103-106
Author(s):  
Shao Yong Li
Keyword(s):  
Mobile Robot ◽  
Simulation Experiment ◽  
Control Method ◽  
Fuzzy Controller ◽  
Fuzzy Rule ◽  
Path Tracking ◽  
Autonomous Mobile Robots ◽  
Experiment Data ◽  
Path Tracking Method ◽  
Robot Path

Design a subsection fuzzy controller for autonomous mobile robots based on location sensors. First section the controller produced some fuzzy output and part of the output was used for setting up an emotion factor called E. In the second section, E has an effect on the controller, and the mobile robot can move more like a car being driven by human. As the fuzzy controller is down to subsections, each of the section has a simpler fuzzy rule table. The simulation experiment data showed that this kind of control method for path tracking could fit the path better with short response time and strong robustness. It was more flexible and effective on processing different corners during tracking compared to conventional fuzzy control method.

Intelligent Control for Mobile Robot Path Tracking Based on Advanced PSO

2013 ◽  
Vol 391 ◽  
pp. 461-464
Author(s):  
De Fang Cheng ◽  
Hui Shan Han ◽  
Hai Fen Liu ◽  
Jing Wei Ji
Keyword(s):  
Mobile Robot ◽  
Control Method ◽  
Rear Wheel ◽  
Steering System ◽  
Complex Model ◽  
Path Tracking ◽  
Time Variability ◽  
Self Tuning ◽  
Intelligent Pid ◽  
Robot Path

The four-wheeled mobile robot driving by rear-wheel has some characteristics such as nonholomic constraint, complex model and nonlinear and time variability of steering system. An intelligent PID path tracking method based on preview follower theory was proposed, which acquired by improved particle swarm optimization algorithm, and the self-tuning of control of system was achieved. The result indicated that the mobile robot controlled by the proposed approach can follow various reference paths accurately and robustly. Compares to conventional PSO control method ,possesses the advantages of high precise ,great adaptability and robustness.

Robust PID Tuning. Application to a Mobile Robot Path Tracking Problem

2000 ◽  
Vol 33 (4) ◽  
pp. 559-564
Author(s):  
Julio E. Normey-Rico ◽  
Ismael Alcalá ◽  
Juan Gómez-Ortega ◽  
Eduardo F. Camacho
Keyword(s):  
Mobile Robot ◽  
Path Tracking ◽  
Tracking Problem ◽  
Pid Tuning ◽  
Robot Path
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