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Cellular Actuators: Modularity and Variability in Muscle-Inspired Actuation describes the roles actuators play in robotics and their insufficiency in emerging new robotic applications, such as wearable devices and human co-working robots where compactness and compliance are important.
Piezoelectric actuators, the topic of this book, provide advantages like displacement scale, force, reliability, and compactness, and rely on material properties to provide displacement and force as reactions to electric stimulation. The authors, renowned researchers in the area, present the fundamentals of muscle-like movement and a system-wide study that includes the design, analysis, and control of biologically inspired actuators. This book is the perfect guide for researchers and practitioners who would like to deploy this technology into their research and products.
- Introduces Piezoelectric Actuators concepts in a system wide integrated approach
- Acts as a single source for the design, analysis, and control of actuator arrays
- Presents applications to illustrate concepts and the potential of the technology
- Details the physical assembly possibilities of Piezo actuators
- Presents fundamentals of bio inspired actuation
- Introduces the concept of cellular actuators
Researchers and engineers in this field. The book could be used as graduate-level introductory class (as mentioned by reviewers)
List of figures
List of tables
- About this book
- Historical overview
- Cellular actuator concept
1: Structure of cellular actuators
- 1.1. Strain amplified piezoelectric actuators
- 1.2. Nested rhombus exponential strain amplification
- 1.3. Design of nested-rhombus cellular actuators
2: Modeling of cellular actuators
- 2.1. Two-port networks for single cell modeling
- 2.2. Calibration of two-port network models
- 2.3. Modeling of actuator arrays: the nesting theorem: three-layer structure
- 2.4. Representation and characterization of complex actuator arrays
3: Control of cellular actuators
- 3.1. Minimum switching discrete switching vibration suppression
- 3.2. Broadcast control for cellular actuator arrays
- 3.3. Hysteresis loop control of hysteretic actuator arrays
- 3.4. Supermartingale theory for broadcast control of distributed hysteretic systems
- 3.5. Signal-dependent variability of actuator arrays with floating-point quantization
4: Application of cellular actuators
- 4.1. Variable stiffness cellular actuators
- 4.2. Bipolar buckling actuators
- 4.3. Self-sensing piezoelectric grasper
- 4.4. Biologically inspired robotic camera orientation system
- 5.1. Summary and future directions
- A.1. Modeling of hysteresis
- A.2. Structural parameters of tweezer-style end-effector
- A.3. Piezoelectric driving circuit and control system
- A.4. Compliance matrix elements in Section 2.2
- A.5. SMA cellular actuators
- A.6. Deterministic analysis and stability of expectation
- A.7. Proof of Lemma 2 in Section 3.4
- A.8. Recursive computation of probability Pr(Xt|X0)
- A.9. Proof of Lemma 2 in Section 4.1
- No. of pages:
- © Butterworth-Heinemann 2017
- 24th January 2017
- Paperback ISBN:
- eBook ISBN:
Jun Ueda is an Associate Professor at G.W.W. School of Mechanical Engineering at the Georgia Institute of Technology. He has published over 100 peer reviewed academic papers and is an expert in system dynamics, robust control in robotics and the development of sensing and actuation devices for industry and healthcare applications
Associate Professor, G.W.W. School of Mechanical Engineering, Georgia Institute of Technology, USA
Joshua Schultz, has received his Ph.D. from Georgia Institution of Technology in 2012, M.S. from Vanderbilt University in 2004, and B.S. from Tufts University in 2002. Dr. Schultz’s research focuses primarily on soft robotics, in particular the role of small on-off cell-like units linked together by compliant material to generate motion as a whole. Because of the discretized, decentralized nature of these devices, this also involves control of quantized systems. He is also interested in properties of anthropomorphic hands and the role of compliance in grasping & manipulation.
Assistant Professor, Department of Mechanical Engineering, University of Tulsa, OK, USA
Professor H. Harry Asada is Ford Professor of Engineering and Director of the Brit and Alex d’Arbeloff Laboratory for Information Systems and Technology in the Department of Mechanical Engineering at the Massachusetts Institute of Technology. He earned his B.S. degree in Mechanical Engineering, and M.S. and Ph.D. degrees in Precision Engineering in 1973, 1975, and 1979, respectively, all from Kyoto University, Japan. He joined the M.I.T. faculty in 1982. Professor Asada teaches and conducts research in the area of robotics, bioengineering, and dynamic systems and control.
Professor, Mechanical Engineering, Massachusetts Institute of Technology, USA
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