Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723213250
Category :
Languages : en
Pages : 110
Book Description
This project presents the results of controlling two types of robots using new Command Generator Tracker (CGT) based Direct Model Reference Adaptive Control (MRAC) algorithms. Two mathematical models were used to represent a single-link, flexible joint arm and a Unimation PUMA 560 arm; and these were then controlled in simulation using different MRAC algorithms. Special attention was given to the performance of the algorithms in the presence of sudden changes in the robot load. Previously used CGT based MRAC algorithms had several problems. The original algorithm that was developed guaranteed asymptotic stability only for almost strictly positive real (ASPR) plants. This condition is very restrictive, since most systems do not satisfy this assumption. Further developments to the algorithm led to an expansion of the number of plants that could be controlled, however, a steady state error was introduced in the response. These problems led to the introduction of some modifications to the algorithms so that they would be able to control a wider class of plants and at the same time would asymptotically track the reference model. This project presents the development of two algorithms that achieve the desired results and simulates the control of the two robots mentioned before. The results of the simulations are satisfactory and show that the problems stated above have been corrected in the new algorithms. In addition, the responses obtained show that the adaptively controlled processes are resistant to sudden changes in the load. Steinvorth, Rodrigo Unspecified Center CONTROL SYSTEMS DESIGN; CONTROLLERS; MODEL REFERENCE ADAPTIVE CONTROL; ROBOT ARMS; ROBOT CONTROL; ALGORITHMS; COMPUTERIZED SIMULATION; CONTROL STABILITY; LOADS (FORCES); MATHEMATICAL MODELS...
Model Reference Adaptive Control of Robots
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723213250
Category :
Languages : en
Pages : 110
Book Description
This project presents the results of controlling two types of robots using new Command Generator Tracker (CGT) based Direct Model Reference Adaptive Control (MRAC) algorithms. Two mathematical models were used to represent a single-link, flexible joint arm and a Unimation PUMA 560 arm; and these were then controlled in simulation using different MRAC algorithms. Special attention was given to the performance of the algorithms in the presence of sudden changes in the robot load. Previously used CGT based MRAC algorithms had several problems. The original algorithm that was developed guaranteed asymptotic stability only for almost strictly positive real (ASPR) plants. This condition is very restrictive, since most systems do not satisfy this assumption. Further developments to the algorithm led to an expansion of the number of plants that could be controlled, however, a steady state error was introduced in the response. These problems led to the introduction of some modifications to the algorithms so that they would be able to control a wider class of plants and at the same time would asymptotically track the reference model. This project presents the development of two algorithms that achieve the desired results and simulates the control of the two robots mentioned before. The results of the simulations are satisfactory and show that the problems stated above have been corrected in the new algorithms. In addition, the responses obtained show that the adaptively controlled processes are resistant to sudden changes in the load. Steinvorth, Rodrigo Unspecified Center CONTROL SYSTEMS DESIGN; CONTROLLERS; MODEL REFERENCE ADAPTIVE CONTROL; ROBOT ARMS; ROBOT CONTROL; ALGORITHMS; COMPUTERIZED SIMULATION; CONTROL STABILITY; LOADS (FORCES); MATHEMATICAL MODELS...
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723213250
Category :
Languages : en
Pages : 110
Book Description
This project presents the results of controlling two types of robots using new Command Generator Tracker (CGT) based Direct Model Reference Adaptive Control (MRAC) algorithms. Two mathematical models were used to represent a single-link, flexible joint arm and a Unimation PUMA 560 arm; and these were then controlled in simulation using different MRAC algorithms. Special attention was given to the performance of the algorithms in the presence of sudden changes in the robot load. Previously used CGT based MRAC algorithms had several problems. The original algorithm that was developed guaranteed asymptotic stability only for almost strictly positive real (ASPR) plants. This condition is very restrictive, since most systems do not satisfy this assumption. Further developments to the algorithm led to an expansion of the number of plants that could be controlled, however, a steady state error was introduced in the response. These problems led to the introduction of some modifications to the algorithms so that they would be able to control a wider class of plants and at the same time would asymptotically track the reference model. This project presents the development of two algorithms that achieve the desired results and simulates the control of the two robots mentioned before. The results of the simulations are satisfactory and show that the problems stated above have been corrected in the new algorithms. In addition, the responses obtained show that the adaptively controlled processes are resistant to sudden changes in the load. Steinvorth, Rodrigo Unspecified Center CONTROL SYSTEMS DESIGN; CONTROLLERS; MODEL REFERENCE ADAPTIVE CONTROL; ROBOT ARMS; ROBOT CONTROL; ALGORITHMS; COMPUTERIZED SIMULATION; CONTROL STABILITY; LOADS (FORCES); MATHEMATICAL MODELS...
Adaptive Control for Robotic Manipulators
Author: Dan Zhang
Publisher: CRC Press
ISBN: 1498764886
Category : Science
Languages : en
Pages : 441
Book Description
The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and introduce the state-of-the-art technologies in the field of adaptive control of robotic manipulators in order to improve the methodologies on the adaptive control of robotic manipulators. Advances made in the past decades are described in the book, including adaptive control theories and design, and application of adaptive control to robotic manipulators.
Publisher: CRC Press
ISBN: 1498764886
Category : Science
Languages : en
Pages : 441
Book Description
The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and introduce the state-of-the-art technologies in the field of adaptive control of robotic manipulators in order to improve the methodologies on the adaptive control of robotic manipulators. Advances made in the past decades are described in the book, including adaptive control theories and design, and application of adaptive control to robotic manipulators.
Model Reference Adaptive Control of Robots
Author: Rodrigo Steinvorth
Publisher:
ISBN:
Category :
Languages : en
Pages : 95
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 95
Book Description
Model Reference Adaptive Control for Robotic Manipulators
Author: Masaaki Hayashi
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 48
Book Description
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 48
Book Description
Adaptive Neural Network Control of Robotic Manipulators
Author: Tong Heng Lee
Publisher: World Scientific
ISBN: 9789810234522
Category :
Languages : en
Pages : 400
Book Description
Introduction; Mathematical background; Dynamic modelling of robots; Structured network modelling of robots; Adaptive neural network control of robots; Neural network model reference adaptive control; Flexible joint robots; task space and force control; Bibliography; Computer simulation; Simulation software in C.
Publisher: World Scientific
ISBN: 9789810234522
Category :
Languages : en
Pages : 400
Book Description
Introduction; Mathematical background; Dynamic modelling of robots; Structured network modelling of robots; Adaptive neural network control of robots; Neural network model reference adaptive control; Flexible joint robots; task space and force control; Bibliography; Computer simulation; Simulation software in C.
Adaptive Control of Robot Manipulators
Author: An-Chyau Huang
Publisher: World Scientific
ISBN: 9814307424
Category : Technology & Engineering
Languages : en
Pages : 274
Book Description
This book introduces an unified function approximation approach to the control of uncertain robot manipulators containing general uncertainties. It works for free space tracking control as well as compliant motion control. It is applicable to the rigid robot and the flexible joint robot. Even with actuator dynamics, the unified approach is still feasible. All these features make the book stand out from other existing publications.
Publisher: World Scientific
ISBN: 9814307424
Category : Technology & Engineering
Languages : en
Pages : 274
Book Description
This book introduces an unified function approximation approach to the control of uncertain robot manipulators containing general uncertainties. It works for free space tracking control as well as compliant motion control. It is applicable to the rigid robot and the flexible joint robot. Even with actuator dynamics, the unified approach is still feasible. All these features make the book stand out from other existing publications.
Model Reference Adaptive Control (MRAC) with Applications to Robotics
Author: Ricky Yin Jun Tam
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 508
Book Description
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 508
Book Description
Adaptive Control of Mechanical Manipulators
Author: John J. Craig
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 152
Book Description
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 152
Book Description
Discrete-time Explicit Model Reference Adaptive Control for Robotic Manipulators
Author: Junku Yuh
Publisher:
ISBN:
Category : Manipulators (Mechanism)
Languages : en
Pages : 326
Book Description
In this dissertation a direct approach to discrete-time model reference adaptive control (MRAC) based on hyperstability theory is proposed to control industrial robotic manipulators. For industrial robots and manipulators, which usually have highly nonlinear and complex dynamic equations and often have unknown inertia characteristics, it is very difficult to achieve high performance with conventional control strategies. This desired high performance in terms of speed and accuracy can be obtained by adaptive control techniques. Considering the effects of gravity, process noise and payload uncertainty the MRAC approach is investigated using simulation for a three degree of freedom industrial robot. These simulation results show that adaptive control techniques can provide robust properties in spite of poor a priori information regarding the robot dynamics and operating circumstances.
Publisher:
ISBN:
Category : Manipulators (Mechanism)
Languages : en
Pages : 326
Book Description
In this dissertation a direct approach to discrete-time model reference adaptive control (MRAC) based on hyperstability theory is proposed to control industrial robotic manipulators. For industrial robots and manipulators, which usually have highly nonlinear and complex dynamic equations and often have unknown inertia characteristics, it is very difficult to achieve high performance with conventional control strategies. This desired high performance in terms of speed and accuracy can be obtained by adaptive control techniques. Considering the effects of gravity, process noise and payload uncertainty the MRAC approach is investigated using simulation for a three degree of freedom industrial robot. These simulation results show that adaptive control techniques can provide robust properties in spite of poor a priori information regarding the robot dynamics and operating circumstances.
Exact Linearization of Robot Dynamics Using Model Reference Adaptive Control
Author: Ramesh Gopal Menon
Publisher:
ISBN:
Category : Robots
Languages : en
Pages : 166
Book Description
Publisher:
ISBN:
Category : Robots
Languages : en
Pages : 166
Book Description