Advanced Control of Wheeled Inverted Pendulum Systems (PDF)
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Advanced Control of Wheeled Inverted Pendulum Systems is an orderly presentation of recent ideas for overcoming the complications inherent in the control of wheeled inverted pendulum (WIP) systems, in the presence of uncertain dynamics, nonholonomic kinematic constraints as well as underactuated configurations. The text leads the reader in a theoretical exploration of problems in kinematics,dynamics modeling, advanced control design techniques,and trajectory generation for WIPs. An important concern is how to deal with various uncertainties associated with the nominal model, WIPs being characterized by unstable balance and unmodelled dynamics and being subject to time-varying external disturbances for which accurate models are hard to come by.
The book is self-contained, supplying the reader with everything from mathematical preliminaries and the basic Lagrange-Euler-based derivation of dynamics equations to various advanced motion control and force control approaches as well as trajectory generation method. Although primarily intended for researchers in robotic control, Advanced Control of Wheeled Inverted Pendulum Systems will also be useful reading for graduate students studying nonlinear systems more generally.
Chenguang Yang obtained the Bachelor's degree in Measurement and Control Instrument and Technology at the Northwestern Polytechnical University in 2001 and the PhD degree in Control Theory at the National University of Singapore in 2010. From 2005 to 2009, he was working on adaptive/intelligent controllers for highly uncertain systems. In 2008, he worked for the TechX Challenge Urban Mobile Robot Competition organized by DSTA, Singapore, which is equivalent of the DARPA Grand Challenge in US. Together with teammates, he has developed a fully autonomous robot capable of climbing stairs, recognizing and operating an elevator, and navigating and searching for given targets in an unknown environment. From 2009 until 2010 he was with the Human Robotics Group in Imperial College London working on modeling of human neural-muscular control and development of robot control of human motor behavior. In connection with this he has developed a human-mimetic force- and impedance-adaptation algorithm for robots performing both stable and unstable tasks. Dr. Yang's current research interests are in the fields of intelligent robotic control, nonlinear control and
- Autoren: Zhijun Li , Chenguang Yang , Liping Fan
- 2012, 2013, 218 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1447129636
- ISBN-13: 9781447129639
- Erscheinungsdatum: 13.07.2012
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- Dateiformat: PDF
- Größe: 4.47 MB
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