Life System Modeling and Intelligent Computing

Life System Modeling and Intelligent Computing

Author: Kang Li

Publisher: Springer

Published: 2010-09-14

Total Pages: 736

ISBN-13: 3642156150

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The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.


Intelligent Backstepping Control for the Alternating-Current Drive Systems

Intelligent Backstepping Control for the Alternating-Current Drive Systems

Author: Jinpeng Yu

Publisher: Springer Nature

Published: 2021-02-13

Total Pages: 221

ISBN-13: 3030677230

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This book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course.


Speed Control of Interior Permanent Magnet Synchronous Machine

Speed Control of Interior Permanent Magnet Synchronous Machine

Author: Jigneshkumar Desai

Publisher: GRIN Verlag

Published: 2022-09-27

Total Pages: 61

ISBN-13: 3346731324

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Document from the year 2022 in the subject Engineering - General, grade: 12, , language: English, abstract: The creation of a simulation model for closed loop vector controlled IPMSM drive performance enhancement and speed control is described in this book. By regulating the torque component of the current, the model achieves superior speed tracking and rapid dynamic response under transient and steady-state circumstances. The control technique is used by both the proportional and integrated controllers in the PI controller. Combining two independent controllers and reducing the shortcomings of each results in a more effective controller. To offer optimal speed operation in the face of environmental changes, load variations, and structural disturbances, the Fuzzy Logic Controller for PMSM must be properly constructed. Using MATLAB Simulink, this book gives a comprehensive simulation of an internal permanent magnet synchronous motor driving system. Interior permanent magnet synchronous motors (IPMSMs) are used to improve machine performance and offer rapid torque response. IPMSMs are utilised in low and medium-power applications such as servos, robotics, variable-speed motors, electric vehicles, and computer peripherals. Because PM motor drives are becoming more popular, simulation systems capable of handling motor drive simulations are in great demand. Simulation tools can dynamically simulate motor drives in a visual environment, saving money and time and easing the development of new systems.


Control of Permanent Magnet Synchronous Motors

Control of Permanent Magnet Synchronous Motors

Author: Sadegh Vaez-Zadeh

Publisher: Oxford University Press

Published: 2018

Total Pages: 365

ISBN-13: 0198742967

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Permanent magnet synchronous (PMS) motors stand at the forefront of electric motor development due to their energy saving capabilities and performance potential. This book is a timely advancement along that path as the first comprehensive, self-contained, and thoroughly up-to-date book devoted solely to the control of PMS motors.


Intelligent Control and Automation

Intelligent Control and Automation

Author: De-Shuang Huang

Publisher: Springer

Published: 2006-09-08

Total Pages: 1145

ISBN-13: 3540372563

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Results of the International Conference on Intelligent Computing, ICIC 2006: Lecture Notes in Computer Science (LNCS), Lecture Notes in Artificial Intelligence (LNAI), Lecture Notes in Bioinformatics (LNBI), Lecture Notes in Control and Information Sciences (LNCIS). 142 revised full papers are organized in topical sections: Blind Source Separation; Intelligent Sensor Networks; Intelligent Control and Automation; and Data Fusion, Knowledge Discovery, and Data Mining. Includes a Special Session on Smart and Intelligent Home Technology.


Permanent Magnet Synchronous Machines and Drives

Permanent Magnet Synchronous Machines and Drives

Author: Wei Xu

Publisher: CRC Press

Published: 2023-07-31

Total Pages: 240

ISBN-13: 1000909719

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Permanent magnet synchronous motors (PMSMs) are popular in the electric vehicle industry due to their high-power density, large torque-to-inertia ratio, and high reliability. This book presents an improved field-oriented control (FOC) strategy for PMSMs that utilizes optimal proportional-integral (PI) parameters to achieve robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. The book covers the combined design of a PI current regulator and varying switching frequency pulse-width modulation (PWM), along with an improved linear model predictive control (MPC) strategy. Researchers and graduate students in electrical engineering, systems and control, and electric vehicles will find this book useful. Features: • Implements evolutionary optimization algorithms to improve PMSM performance. • Provides coverage of PMSM control design in the flux-weakening region. • Proposes a modern method of model predictive control to improve the dynamic performance of interior PMSM. • Studies the dynamic performance of two kinds of PMSMs: surface-mounted and interior permanent magnet types. • Includes several case studies and illustrative examples with MATLAB®. This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles.


Advanced Direct Thrust Force Control of Linear Permanent Magnet Synchronous Motor

Advanced Direct Thrust Force Control of Linear Permanent Magnet Synchronous Motor

Author: Muhammad Ali Masood Cheema

Publisher: Springer Nature

Published: 2020-02-13

Total Pages: 244

ISBN-13: 3030403254

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This book explores the direct thrust force control (DTFC) of tubular surface-mount linear permanent magnet synchronous motors (linear PMSMs). It presents a detailed account and analysis of several advanced nonlinear control schemes, based on the direct thrust control principle, to achieve a reduction in steady-state ripple in thrust force with faster transient response, and describes their experimental validation. It also provides rigorous details of the dynamic modelling of linear PMSMs from a control system perspective, and demonstrates the superior control performance of the proposed techniques compared to the current state-of-the-art techniques. Lastly, the book proposes and validates a stator flux observer for sensorless speed estimation comprising a linear state observer and an improved sliding mode component.