Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty

This thesis presents a model-based fuzzy tuning PID method for the force/position control of a robot manipulator. The interaction relationship between the robot and the environment is modeled for hybrid control scheme. The model is based on the kinematic and dynamic descriptions because in many robo...

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Bibliographic Details
Main Author: Li, Yimin.
Other Authors: Ho, Yheong Khing
Format: Thesis
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4778
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author Li, Yimin.
author2 Ho, Yheong Khing
author_facet Ho, Yheong Khing
Li, Yimin.
author_sort Li, Yimin.
collection NTU
description This thesis presents a model-based fuzzy tuning PID method for the force/position control of a robot manipulator. The interaction relationship between the robot and the environment is modeled for hybrid control scheme. The model is based on the kinematic and dynamic descriptions because in many robotic tasks the manipulator in contact cannot be simply modeled as a kinematically constrained system. The kine-matic description represents the constrained relationship between the robot and the environment, while the dynamic description includes the configurations representing the relative motion of the robot with respect to the environment. Meanwhile, in order to study the influence of the kinematic uncertainty from the environment on the sys-tem, parameter representing uncertainty is also introduced into the descriptions of the interaction relationship.
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spelling ntu-10356/47782023-07-04T15:14:58Z Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty Li, Yimin. Ho, Yheong Khing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics This thesis presents a model-based fuzzy tuning PID method for the force/position control of a robot manipulator. The interaction relationship between the robot and the environment is modeled for hybrid control scheme. The model is based on the kinematic and dynamic descriptions because in many robotic tasks the manipulator in contact cannot be simply modeled as a kinematically constrained system. The kine-matic description represents the constrained relationship between the robot and the environment, while the dynamic description includes the configurations representing the relative motion of the robot with respect to the environment. Meanwhile, in order to study the influence of the kinematic uncertainty from the environment on the sys-tem, parameter representing uncertainty is also introduced into the descriptions of the interaction relationship. Master of Engineering 2008-09-17T09:58:18Z 2008-09-17T09:58:18Z 2000 2000 Thesis http://hdl.handle.net/10356/4778 Nanyang Technological University application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Li, Yimin.
Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty
title Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty
title_full Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty
title_fullStr Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty
title_full_unstemmed Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty
title_short Model-based fuzzy PID control of constrained robot in a dynamic environment with uncertainty
title_sort model based fuzzy pid control of constrained robot in a dynamic environment with uncertainty
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
url http://hdl.handle.net/10356/4778
work_keys_str_mv AT liyimin modelbasedfuzzypidcontrolofconstrainedrobotinadynamicenvironmentwithuncertainty