RESEARCH ON THE APPLICATION OF PID CONTROL TECHNOLOGY COMBINED WITH FNN ALGORITHM IN INTELLIGENT WHEELCHAIR OBSTACLE AVOIDANCE FOR DISABLED ATHLETES

With the development of competitive sports, some people with disabilities are also involved in the sports. In order to provide superior transport for the disabled, experts and scholars in many countries has conducted the research on the intelligent wheelchair. In this study, an obstacle avoidance st...

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Bibliographic Details
Published in:Romanian Review Precision Mechanics, Optics & Mecatronics no. 49; p. 134
Main Author: Zheng, Yarong
Format: Journal Article
Language:English
Published: Bucharest Editura Cefin 01.01.2016
Subjects:
Algorithms
Athletes
Conversion
Fuzzy logic
Networks
Obstacle avoidance
Strategy
Wheelchairs
ISSN:1584-5982, 2247-8418
Online Access:Get full text
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Summary:With the development of competitive sports, some people with disabilities are also involved in the sports. In order to provide superior transport for the disabled, experts and scholars in many countries has conducted the research on the intelligent wheelchair. In this study, an obstacle avoidance strategy based on the strategy conversion mechanism was established according to the specific circumstances of the disabled athletes in the process of movement. In combination with the improved fuzzy neural network (Fuzzy Neural Networks, FNN) and the condition control variables, the obstacle avoidance processing method for intelligent wheelchair was also studied. In addition, this research mainly regarded the disabled athlete to use the intelligent wheelchair to carry on the sports as the research object and it studied the strategy conversion mechanism of intelligent wheelchair obstacle avoidance strategy based on sports. In order to avoid the collision between the teammates in wheelchair sports, the state control was given variables of different weights in the study to solve the obstacle avoidance problem in the wheelchair sports. When the obstacles encountered in the process of movement of disabled athletes in the inner angle of view, the algorithm based on improved fuzzy neural network was considered as the main algorithm of obstacle avoidance. In contrast the control algorithm based on state variable should be considered as the main algorithm of obstacle avoidance. The obstacle avoidance strategy based on conversion mechanism effectively improves the result of obstacle avoidance for intelligent wheelchair in sports.
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ISSN:1584-5982
2247-8418