Control of robot manipulators in joint space

Robot control is the backbone of robotics, an essential discipline in the maintenance of high quality and productivity in modern industry. The most common method of control for industrial robotic manipulators relies on the measurement and amendment of joint displacement: so-called "joint-space...

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Główni autorzy: Kelly, Rafael, 19..-...., auteur en automatique, Davila, Victor Santibáñez (Autor), Loría, Antonio (Autor), Santibáñez Davila, Victor (Autor), Loría Perez, Julio Antonio (Autor)
Format: Livre numérique
Język:Anglais
Wydane: London : Springer London [20..].
Cham : Springer Nature
Wydanie:1st ed. 2005.
Seria:Advanced Textbooks in Control and Signal Processing
Dostęp online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Komentarz: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Control of Robot Manipulators in Joint Space, Texte imprimé, 9781848008915
• Control of Robot Manipulators in Joint Space, by Rafael Kelly, Victor Santibáñez Davila, Antonio Loría., London, Springer, 2005, 1vol. (xxvi-426 p.), Advanced textbooks in control and signal processing, 1-85233-994-2
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505 1 |a Preliminaries to Part I What Does Control of Robots Involve? Mathematical Preliminaries Robot Dynamics Properties of the Dynamic Model Case Study: The Pelican Prototype Robot Position Control to Part II Proportional Control plus Velocity Feedback and PD Control PD Control with Gravity Compensation PD Control with Desired Gravity Compensation PID Control Motion Control to Part III Computed-torque Control and Computed-torque+ Control PD+ Control and PD Control with Compensation Feedforward Control and PD Control plus Feedforward Advanced Topics to Part IV P D Control with Gravity Compensation and P D Control with Desired Gravity Compensation to Adaptive Robot Control PD Control with Adaptive Desired Gravity Compensation PD Control with Adaptive Compensation. 
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520 |a Robot control is the backbone of robotics, an essential discipline in the maintenance of high quality and productivity in modern industry. The most common method of control for industrial robotic manipulators relies on the measurement and amendment of joint displacement: so-called "joint-space control". Control of Robot Manipulators in Joint Space addresses robot control in depth, treating a range of model-based controllers in detail: proportional derivative; proportional integral derivative; computed torque and some adaptive variants. Using varying combinations of the text s four parts: robot dynamics and mathematical preliminaries; set-point model-based control; tracking model-based control; and adaptive and velocity-independent control a complete course in robot control based on joint space can be constructed for senior undergraduates or masters students. Other areas of study important to robotics, such as kinematics, receive attention within the case studies which are based around a 2-degrees-of-freedom planar articulated arm termed the Pelican prototype and used throughout to test the examined controllers by experimentation. In addition to the written text, auxiliary resources are available in the form of pdf projector presentations for the instructor to use in lectures and as printed class aids for students, and a pdf solutions manual. All of this labour-saving supplementary material can be downloaded from springeronline.com. 
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