
Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators
Academic Press
Published on 17. January 2023
Book
Paperback/Softback
170 pages
978-0-323-96101-1 (ISBN)
Description
Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators deals with the modeling and control of parallel robots. The book's content will benefit students, researchers and engineers in robotics by providing a simplified methodology to obtain the dynamic model of parallel robots with a delta-type architecture. Moreover, this methodology is compatible with the real-time implementation of model-based and robust control schemes. And, it can easily extend the proposed robust control solutions to other robotic architectures.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Ph.D. students and researchers in robotics centered around parallel robots.
Robotics engineers, robotics researchers in general, and undergraduate, graduate, researchers from other robotics areas, since the control schemes presented in this book can be applied to other types of robotic manipulators
Dimensions
Height: 229 mm
Width: 152 mm
Weight
450 gr
ISBN-13
978-0-323-96101-1 (9780323961011)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Jonatan Martin Escorcia Hernandez received his B.Sc in Robotic Engineering, M.Sc. in Automation and Control, and Ph.D. in Optomechatronics from the Polytechnic University of Tulancingo (UPT), Tulancingo de Bravo, Mexico in 2013, 2017, and 2020, respectively. He is currently working as a part time professor at the UPT, teaching classes in robotics engineering. His research interests include modeling, mechanical design, and nonlinear control of robotics systems. Ahmed Chemori earned his M.Sc. and Ph.D. in Automatic Control from the Grenoble Institute of
Technology in 2001 and 2005, respectively. He has worked as a research and teaching assistant and is currently a senior research scientist at LIRMM, University of Montpellier, focusing on nonlinear control and its applications in robotics. Hipolito Aguilar Sierra received the B.Sc. degree in Mechatronics Engineering from UPIITA-IPN in 2009; and M.Sc. and Ph. D degrees both in Automatic Control from the CINVESTAV Zacatenco, Mexico City, Mexico, in 2011 and 2016, respectively. He is currently a Full-time professor at Faculty of Engineering from the La Salle Mexico University. His research interests include Medical robots, Rehabilitation robots, Exoskeleton robotics and Nonlinear control.
Technology in 2001 and 2005, respectively. He has worked as a research and teaching assistant and is currently a senior research scientist at LIRMM, University of Montpellier, focusing on nonlinear control and its applications in robotics. Hipolito Aguilar Sierra received the B.Sc. degree in Mechatronics Engineering from UPIITA-IPN in 2009; and M.Sc. and Ph. D degrees both in Automatic Control from the CINVESTAV Zacatenco, Mexico City, Mexico, in 2011 and 2016, respectively. He is currently a Full-time professor at Faculty of Engineering from the La Salle Mexico University. His research interests include Medical robots, Rehabilitation robots, Exoskeleton robotics and Nonlinear control.
Author
Polytechnic University of Tulancingo, Mexico
LIRMM, University of Montpellier, CNRS, Montpellier, France.
La Salle University, Mexico
Content
1. Introduction
2. Literature review about modelling and control of PKMs
3. Description and Modelling of Experimental platforms
4. Proposed Robust Control Solutions
5. Numerical simulations and Real-time experiments
General Conclusion
Appendices
A Proof of lemma 1
B Trajectory points for SPIDER4
B1 Trajectory points for Scenario 1
B2 Trajectory points for scenario 2
2. Literature review about modelling and control of PKMs
3. Description and Modelling of Experimental platforms
4. Proposed Robust Control Solutions
5. Numerical simulations and Real-time experiments
General Conclusion
Appendices
A Proof of lemma 1
B Trajectory points for SPIDER4
B1 Trajectory points for Scenario 1
B2 Trajectory points for scenario 2