Dynamics and Control of Industrial Cranes by Keum-Shik Hong
This book introduces and develops the mathematical models used to describe crane dynamics, and explores established and emerging control methods employed for industrial cranes.It opens with a general introduction to the design and structure of various crane types including gantry cranes, rotary cranes, and mobile cranes currently being used for material handling processes. Mathematical models describing their dynamics for control purposes are developed via two different modeling approaches: lumped-mass and distributed parameter models. Control strategies applicable to real industrial problems are then discussed, including open-loop control, feedback control, boundary control, and hybrid control strategies. Finally, based on the methods covered in the book, future research directions are proposed for the advancement of crane technologies.
This book can be used by graduate students, engineers, and researchers in the material handling industryincluding those working in warehouses, manufacturing, construction sites, ship building, seaports, container terminals, nuclear power plants, and in offshore engineering.
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Robust Autonomous Guidance
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Prototyping of Concurrent Control Systems Implemented in FPGA Devices
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Control of Variable-Geometry Vehicle Suspensions
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Robust Model Predictive Control for Autonomous Underwater Vehicles
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Model-Based Control of Mass–Stiffness–Damping Systems
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Pneumatic Servo Systems Analysis
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Control of Large Wind Energy Systems
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Predictive Functional Control
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Advanced Control and Supervision of Mineral Processing Plants
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Networked and Distributed Predictive Control
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Fault Detection and Fault-Tolerant Control Using Sliding Modes
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Reset Control Systems
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Industrial Process Identification and Control Design
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Cooperative Control of Multi-agent Systems
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Sliding-Mode Control of PEM Fuel Cells
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Control of Integral Processes with Dead Time
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Internet-based Control Systems
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Drives and Control for Industrial Automation
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PID Control in the Third Millennium
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Model Predictive Control of Wastewater Systems
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Structured Controllers for Uncertain Systems
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Fractional-order Systems and Controls
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Quad Rotorcraft Control
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Active Control of Flexible Structures
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Detection and Diagnosis of Stiction in Control Loops
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Motion Coordination for VTOL Unmanned Aerial Vehicles
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Vehicle-Manipulator Systems
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Optimal Control of Hybrid Vehicles
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Optimal Control and Optimization of Stochastic Supply Chain Systems
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Dynamics and Control of Switched Electronic Systems
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Hybrid Predictive Control for Dynamic Transport Problems
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Multivariate Statistical Process Control
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Model-Based Fault Diagnosis Techniques
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Adaptive Control of Solar Energy Collector Systems
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Practical Grey-box Process Identification
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Relay Tuning of PID Controllers
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Control of Solar Energy Systems
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Deadlock Resolution in Automated Manufacturing Systems
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Induction Motor Control Design
Keum-Shik Hong received his B.S. degree from Seoul National University, M.S. degree from Columbia University, and Ph.D. degree from the University of Illinois at Urbana-Champaign in 1979, 1987, and 1991, respectively, all in mechanical engineering, and he has additional M.S. degree in applied mathematics. He joined the School of Mechanical Engineering, Pusan National University, in 1993 and he is currently a professor. His Integrated Dynamics and Control Laboratory was designated as a National Research Laboratory by the Ministry of Education, Science and Technology (MEST) of Korea in 2003. He also initiated the Department of Cogno-Mechatronics Engineering under the auspices of the World Class University program of the MEST of Korea in 2009. He received the Presidential Award of Korea in 2007. He was the Editor-in-Chief of the Journal of Mechanical Science and Technology from 2008 to 2011, and is the Editor-in-Chief of the International Journal of Control, Automation, and Systems from 2018 to date. He is IEEE Fellow, ICROS Fellow, and a Fellow of the Korean Academy of Science and Technology. He is also a member of ASME, KSME, KSPE, KIEE, KINPR, and the National Academy of Engineering of Korea. He was the President of the Institute of Control, Robotics and Systems in 2015, and is the President-Elect of Asian Control Association for 2018-2019. His research interests include adaptive control, autonomous vehicles, brain-computer interfaces, and systems theory.
Umer Hameed Shah received his B.E. degree and M.S. degree in mechanical engineering from the National University of Sciences and Technology, Pakistan, in 2005 and 2012, respectively, and PhD degree from the School of Mechanical Engineering, Pusan National University (PNU), Korea, in 2018. His research focuses on the dynamics and vibration control of lumped-mass and distributed-parameter systems. He has received the Outstanding Paper Award from the Chinese Automatic Control Society, Taiwan, in 2015.| SKU | Unavailable |
| ISBN 13 | 9789811357695 |
| ISBN 10 | 9811357692 |
| Title | Dynamics and Control of Industrial Cranes |
| Author | Keum-Shik Hong |
| Series | Advances In Industrial Control |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2019-02-20 |
| Number of pages | 177 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |