Design and Implementation of a Cable Robot for Rehabilitation

A Master of Science thesis in Mechatronics Engineering by Mohammad Latifi entitled, “Design and Implementation of a Cable Robot for Rehabilitation”, submitted in December 2022. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is available (Thesis, Complet...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Latifi, Mohammad (author)
التنسيق: doctoralThesis
منشور في: 2022
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/25161
الوسوم: إضافة وسم
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author Latifi, Mohammad
author_facet Latifi, Mohammad
author_role author
dc.contributor.none.fl_str_mv Romdhane, Lotfi
Jaradat, Mohammad
dc.creator.none.fl_str_mv Latifi, Mohammad
dc.date.none.fl_str_mv 2022-12
2023-02-28T08:33:07Z
2023-02-28T08:33:07Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2022.43
http://hdl.handle.net/11073/25161
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Parallel Cable Robot
Rehabilitation
Geometric Inverse Kinematic
Parallel Robot
Cable Robot
dc.title.none.fl_str_mv Design and Implementation of a Cable Robot for Rehabilitation
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechatronics Engineering by Mohammad Latifi entitled, “Design and Implementation of a Cable Robot for Rehabilitation”, submitted in December 2022. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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spelling Design and Implementation of a Cable Robot for RehabilitationLatifi, MohammadParallel Cable RobotRehabilitationGeometric Inverse KinematicParallel RobotCable RobotA Master of Science thesis in Mechatronics Engineering by Mohammad Latifi entitled, “Design and Implementation of a Cable Robot for Rehabilitation”, submitted in December 2022. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Mohammad Jaradat. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Due to the precision and repeatability that current robotic system offer; many researchers and innovators have proposed solution for biomedical needs and applications. Classical robots can offer great precision and offer a high payload-to-weight mechanism to handle different biomedical tasks. Nonetheless, the classical robots might act poorly where the adaptability and flexibility of the system is challenged. One way of tackling these issues is to use Cable-Driven Parallel Robot (CDPR) to address all the issues raised by the performance measures mentioned earlier. Due to the flexible links used in CDPR, the control of the system becomes a challenging problem and many researchers have developed different solutions to overcome many modeling problems, including unilateral condition, where links of the robot will be actuated only upon pulling an object. Under the studies that have been done for this thesis work, a CDPR robot has been prototyped with a control joint scheme, where the motion of the robot has been set through Geometric Inverse Kinematic (GIK), and the motors are controlled through PID control that receives feedback from each motor encoder. Later in this study, the performance of the system has been studied under 11 different cases under different trajectory conditions. It has been shown that the best steady state is achieved when the robot has the smallest acceleration or deceleration among the via points, which gives the Integral Square Error (ISE) value of 25.3. The transient response, however, has the best performance when a lower number of via points has been selected for a given path, which gives the Integrated Time Absolute Error (ITAE) of 706.2. The system performs the trajectory planning in absence of high-level control or encountering errors introduced by model measurement inaccuracies.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Romdhane, LotfiJaradat, Mohammad2023-02-28T08:33:07Z2023-02-28T08:33:07Z2022-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2022.43http://hdl.handle.net/11073/25161en_USoai:repository.aus.edu:11073/251612025-06-26T12:22:50Z
spellingShingle Design and Implementation of a Cable Robot for Rehabilitation
Latifi, Mohammad
Parallel Cable Robot
Rehabilitation
Geometric Inverse Kinematic
Parallel Robot
Cable Robot
status_str publishedVersion
title Design and Implementation of a Cable Robot for Rehabilitation
title_full Design and Implementation of a Cable Robot for Rehabilitation
title_fullStr Design and Implementation of a Cable Robot for Rehabilitation
title_full_unstemmed Design and Implementation of a Cable Robot for Rehabilitation
title_short Design and Implementation of a Cable Robot for Rehabilitation
title_sort Design and Implementation of a Cable Robot for Rehabilitation
topic Parallel Cable Robot
Rehabilitation
Geometric Inverse Kinematic
Parallel Robot
Cable Robot
url http://hdl.handle.net/11073/25161