Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/522262
Title: Novel techniques for unmanned mobile robot in unknown obstacle environments for multi switching control tracking
Researcher: Bharathi, V
Guide(s): Sakthivel, K
Keywords: control tracking
Engineering
Engineering and Technology
Engineering Electrical and Electronic
mobile robot
multi switching
University: Anna University
Completed Date: 2022
Abstract: Mobile robots are widely used for activities in industrial, domestic, and agricultural settings as automation and robotics advance. Robots for garbage delivery, resource research, and interior monitoring have emerged to reduce labour requirements. Hence, this research plans to develop novel techniques for unmanned mobile robot in unknown obstacle environment for multi switching control tracking by means of two phases. In the first phase, the wheeled mobile robot employs the Adaptive Nonlinear Sliding Mode control approach to follow its route and avoid obstacles. A drive with parallel wheel differentials explored is the trajectory tracking control issue for mobile robots. The robot must travel along a predetermined path to its destination under a variety of beginning conditions. An obstacle detection micro-controller is installed for tracking and recognizing the obstacles in the way, make rapid decisions on accident avoidance, and maintain obstacle limit at a specified distance is determined by the vector linkages of robot. For object monitoring or continuous trajectory tracking in the route to avoid it. An ANSM control paradigm is applied. Every controller is stabilized using a Lyapunov function control. The findings of suggested simulation show that mobile robot may be used to ensure its protected growth in a hidden obstacle environment. In greater detail, the suggested control offers a different, easier way with practical benefits for monitoring analytical reasoning in a challenging context. Furthermore, efficiency and accuracy of the suggested control technique are demonstrated and recorded on the basis of the aforementioned traits. In the second phase, the control strategy for handling the trajectory tracking issue while taking obstacle avoidance into account is presented. Next, it is suggested that the mobile robots use a DDQN using PER to organize their journey across an uncharted terrain. newline
Pagination: xxii,183p.
URI: http://hdl.handle.net/10603/522262
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File25.7 kBAdobe PDFView/Open
02_prelim pages.pdf2.94 MBAdobe PDFView/Open
03_content.pdf178.42 kBAdobe PDFView/Open
04_abstract.pdf82.62 kBAdobe PDFView/Open
05_chapter 1.pdf1.15 MBAdobe PDFView/Open
06_chapter 2.pdf307.33 kBAdobe PDFView/Open
07_chapter 3.pdf758.48 kBAdobe PDFView/Open
08_chapter 4.pdf493.39 kBAdobe PDFView/Open
09_chapter 5.pdf104.86 kBAdobe PDFView/Open
10_annexures.pdf135.45 kBAdobe PDFView/Open
80_recommendation.pdf82.3 kBAdobe PDFView/Open
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