DocumentCode :
2687858
Title :
Design and implement of control system for power substation equipment inspection robot
Author :
Shouyin Lu ; Li, Yanping ; Zhang, Tao
Author_Institution :
Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Jinan, China
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
93
Lastpage :
96
Abstract :
This paper introduces the design and implement of a novel control systems for power substation equipment inspection robot. According to the real condition of the power substation equipment inspection, the overall structure of the robot control systems are described, and a new monocular robot´s navigation method based on colorful image processing was proposed. By the use of image partition of the HSI model and the mathematic morphology, the trajectory and distinguish the stop-sign drew beforehand from the image are obtained. Then the parameters of navigation and positioning are given by ¿sampling estimated¿ method. And the industrial operation of the system shows that the control system can form a kind of full monitor system for substation to greatly improve the safety, dependability and reality of the substation inspection.
Keywords :
control system synthesis; image colour analysis; inspection; mathematical morphology; mobile robots; power engineering computing; robot vision; sampling methods; substations; HSI model; colorful image processing; control system design; image partition; industrial operation; mathematic morphology; monocular robot navigation method; power substation equipment inspection robot; robot control systems; sampling estimated method; stop-sign drew beforehand; substation inspection; trajectory; Control systems; Image processing; Inspection; Mathematical model; Mathematics; Morphology; Navigation; Power system modeling; Robot control; Substations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354591
Filename :
5354591
Link To Document :
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