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Author: Xinjiang Lu
Publisher: Springer
ISBN: 9811055831
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
This book describes load modeling approaches for complex work pieces and batch forgings, and demonstrates analytical modeling and data-driven modeling approaches for known and unknown complex forging processes. It overcomes the current shortcomings of modeling, analysis and control approaches, presenting contributions in three major areas: In the first, several novel modeling approaches are proposed: a process/shape-decomposition modeling method to help estimate the deformation force; an online probabilistic learning machine for the modeling of batch forging processes; and several data-driven identification and modeling approaches for unknown forging processes under different work conditions. The second area develops model-based dynamic analysis methods to derive the conditions of stability and creep. Lastly, several novel intelligent control methods are proposed for complex forging processes. One of the most serious problems in forging forming involves the inaccurate forging conditions, velocity and position offered by the hydraulic actuator due to the complexity of both the deformation process of the metal work piece and the motion process of the hydraulic actuator. The book summarizes the current weaknesses of modeling, analysis and control approaches. are summarized as follows: a) With the current modeling approaches it is difficult to model complex forging processes with unknown parameters, as they only model the dynamics in local working areas but do not effectively model unknown nonlinear systems across multiple working areas; further, they do not take the batch forging process into account, let alone its distribution modeling. b) All previous dynamic analysis studies simplify the forging system to having a single-frequency pressure fluctuation and neglect the influences of non-linear load force. Further, they fail to take the flow equation in both valves and cylinders into account. c) Conventional control approaches only consider the linear deformation force and pay no attention to sudden changes and the motion synchronization for the multi-cylinder system, making them less effective for complex, nonlinear time-varying forging processes subject to sudden changes.
Author: Xinjiang Lu
Publisher: Springer
ISBN: 9811055831
Category : Technology & Engineering
Languages : en
Pages : 228
Get Book Here
Book Description
This book describes load modeling approaches for complex work pieces and batch forgings, and demonstrates analytical modeling and data-driven modeling approaches for known and unknown complex forging processes. It overcomes the current shortcomings of modeling, analysis and control approaches, presenting contributions in three major areas: In the first, several novel modeling approaches are proposed: a process/shape-decomposition modeling method to help estimate the deformation force; an online probabilistic learning machine for the modeling of batch forging processes; and several data-driven identification and modeling approaches for unknown forging processes under different work conditions. The second area develops model-based dynamic analysis methods to derive the conditions of stability and creep. Lastly, several novel intelligent control methods are proposed for complex forging processes. One of the most serious problems in forging forming involves the inaccurate forging conditions, velocity and position offered by the hydraulic actuator due to the complexity of both the deformation process of the metal work piece and the motion process of the hydraulic actuator. The book summarizes the current weaknesses of modeling, analysis and control approaches. are summarized as follows: a) With the current modeling approaches it is difficult to model complex forging processes with unknown parameters, as they only model the dynamics in local working areas but do not effectively model unknown nonlinear systems across multiple working areas; further, they do not take the batch forging process into account, let alone its distribution modeling. b) All previous dynamic analysis studies simplify the forging system to having a single-frequency pressure fluctuation and neglect the influences of non-linear load force. Further, they fail to take the flow equation in both valves and cylinders into account. c) Conventional control approaches only consider the linear deformation force and pay no attention to sudden changes and the motion synchronization for the multi-cylinder system, making them less effective for complex, nonlinear time-varying forging processes subject to sudden changes.
Author: Qing Guo
Publisher: CRC Press
ISBN: 1351798251
Category : Technology & Engineering
Languages : en
Pages : 198
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Book Description
Nonlinear Control Techniques for Electro-Hydraulic Actuators in Robotics Engineering meets the needs of those working in advanced electro-hydraulic controls for modern mechatronic and robotic systems. The non-linear EHS control methods covered are proving to be more effective than traditional controllers, such as PIDs. The control strategies given address parametric uncertainty, unknown external load disturbance, single-rod actuator characteristics, and control saturation. Theoretical and experimental validations are explained, and examples provided. Based on the authors' cutting-edge research, this work is an important resource for engineers, researchers, and students working in EHS.
Author: Mohieddine Jelali
Publisher: Springer Science & Business Media
ISBN: 1447100999
Category : Technology & Engineering
Languages : en
Pages : 380
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Book Description
This up-to-date book details the basic concepts of many recent developments of nonlinear identification and nonlinear control, and their application to hydraulic servo-systems. It is very application-oriented and provides the reader with detailed working procedures and hints for implementation routines and software tools.
Author: Frank L. Lewis
Publisher: SIAM
ISBN: 0898715059
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
Brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities.
Author: Norhaliza Abdul Wahab
Publisher: Springer Nature
ISBN: 9811939233
Category : Technology & Engineering
Languages : en
Pages : 880
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Book Description
This proceeding includes original and peer-reviewed research papers from the 3rd International Conference on Control, Instrumentation and Mechatronics Engineering (CIM2022). The conference is a virtual conference held on 2-3 March 2022. The topics covered latest work and finding in the area of Control Engineering, Mechatronics, Robotics and Automation, Artificial Intelligence, Manufacturing, Sensor, Measurement and Instrumentation. Moreover, the latest applications of instrumentations, control and mechatronics are provided. Therefore, this proceeding is a valuable material for researchers, academicians, university students and engineers.
Author: Honghua Tan
Publisher: Springer Science & Business Media
ISBN: 3642258999
Category : Technology & Engineering
Languages : en
Pages : 791
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Book Description
Session 1 includes 109 papers selected from 2011 3rd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2011), held on December 24-25, 2011, Shenzhen, China. This session will act as an international forum for researchers and practitioners interested in the advances in and applications of Intelligent Control Systems. It is an opportunity to present and observe the latest research, results, and ideas in these areas. Intelligent control is a rapidly developing, complex, and challenging field of increasing practical importance and still greater potential. Its applications have a solid core in robotics and mechatronics but branch out into areas as diverse as process control, automotive industry, medical equipment, renewable energy and air conditioning. So, this session will aim to strengthen relationships between industry, research laboratories and universities. All papers published in session 1 will be peer evaluated by at least two conference reviewers. Acceptance will be based primarily on originality and contribution.
Author: Kenji Suzuki
Publisher: BoD – Books on Demand
ISBN: 9533072202
Category : Computers
Languages : en
Pages : 494
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Book Description
Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries.
Author: Gary Tan
Publisher: Springer Nature
ISBN: 9811510784
Category : Computers
Languages : en
Pages : 281
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Book Description
This volume constitutes the proceedings of the 19th Asia Simulation Conference, AsiaSim 2019, held in Singapore, Singapore, in October 2019. The 19 revised full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on simulation and modeling methodology; numerical and Monte Carlo simulation; simulation applications: blockchain, deep learning and cloud; simulation and visualization; simulation applications; short papers.
Author: Pankaj Agarwal
Publisher: CRC Press
ISBN: 1000409368
Category : Technology & Engineering
Languages : en
Pages : 320
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Book Description
Advances in manufacturing and industrial engineering in terms of advanced and latest technologies are required nowadays to attend the accelerated demands of high quality, productivity, and sustainability simultaneously. This book fulfils the requirement by offering unique comprehensive chapters on advances in manufacturing and industrial engineering technologies with an emphasis on Industry 4.0. This book sheds light on advances in the field of manufacturing and industrial engineering for enhancement in productivity, quality, and sustainability. It comprehensively covers the recent developments, latest trends, research, and innovations being carried out. 3D printing, green manufacturing, computer integrated manufacturing, cloud manufacturing, intelligent condition monitoring, advanced forming, automation, supply chain optimization, and advanced manufacturing of composites are covered in this book. Industry 4.0 based technologies for mechanical and industrial engineering are also presented with both a theoretical and a practical focus. This book is written for students, researchers, professors, and engineers working in the fields of manufacturing, industrial, materials science, and mechanical engineering.
Author: Rochdi Merzouki
Publisher: Bentham Science Publishers
ISBN: 1608054411
Category : Technology & Engineering
Languages : en
Pages : 261
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Book Description
Present day mechatronic systems are designed with synergistic integration of mechanics, electronics and computer technology to produce intelligent devices for the purpose of solving real-world problems. Crucial requirements for a mechatronic system are robustness and fault tolerance, i.e. it should have the ability to process incomplete, imprecise or uncertain information. Such systems often have to work in collaborative environments while being subjected to adverse conditions yet adhering to strict safety standards. This e-book explains the fundamentals of designing such systems from the first principles and how to embed intelligence into them. Examples in this volume are not restricted to production lines, but extend to extreme safety based systems such as space and underwater robotics, autonomous transportation systems, aviation systems and medical robots. Moreover, this e-book also presents recent developments in the design of innovative and intelligent mechatronic systems, applied to robotics and transportation systems, thereby providing an authoritative support for researchers and professionals having basic knowledge in mechatronics.
