Bidyadhar Subudhi - Böcker

Microgrid Cyberphysical Systems: Renewable Energy and Plug-in Vehicle Integration�outlines the fundamental concepts on microgrid system design and control in a cyberphysical framework, focusing on the integration of renewables and EVs into microgrids. Including operational, control and management perspectives, the volume aims to optimize the reliability and economic performance of microgrids, focusing on power quality, storage and voltage and frequency control. The work encompasses generation, transmission, protection and load management under uncertainty and discusses critical drivers in robustness, uncertainty and sustainability management. Focusing on applied implementations, chapters are supported by detailed methods, heavy figurative explication, and comparative and integrative analysis.

Case studies range across chapters. In addition, chapters are supported by representative experimental or test bed validations of proposed algorithms or methods which can be directly applied to reader problems.

Provides advanced controller methodologies to efficiently optimize the operation of microgrids with high levels of connected renewable generators and electric vehicles Explores powerful approaches for the prevention of cyberattacks in microgrid systems Addresses design issues for power quality filters suitable for microgrid robustness, uncertainty and sustainability handling Includes field-tested methods, heavy case studies and an implementation focus with supporting experimental or test bed validations of proposed algorithms or methods in MATLAB

Many modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are reviewed comprehensively. The book also reviews the trajectory tracking problem and tip trajectory tracking problem along with the suppression of tip deflection of the links. An exponential time varying signal and a chaotic signal are considered as the desired trajectories. The identical/ non-identical slave manipulator is synchronised with the controlled master manipulator so that the slave manipulator indirectly follows the desired manipulator.

Many modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are reviewed comprehensively. The book also reviews the trajectory tracking problem and tip trajectory tracking problem along with the suppression of tip deflection of the links. An exponential time varying signal and a chaotic signal are considered as the desired trajectories. The identical/ non-identical slave manipulator is synchronised with the controlled master manipulator so that the slave manipulator indirectly follows the desired manipulator.

Robotic marine vessels can be used for a wide range of purposes, including defence, marine science, offshore energy and hydrographic surveys, and environmental surveys and protection. Such vessels need to meet a variety of criteria: they must be able to operate in salt water, and to communicate and be controlled over large distances, even when submerged or in inclement weather. Further challenges include 3D navigation of individual vehicles, groups or squadrons.This book covers the current state of research in navigation, modelling and control of marine autonomous vehicles, and deals with various related topics, including collision avoidance, communication, and a range of applications. It provides valuable insights for an audience of researchers, academics and postgraduate students interested in autonomous marine vessels, robotics, and electrical and automobile engineering.

Cognitive sensing systems combined with IoTs and smart technologies are used in countless applications such as industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars and smart energy systems.With contributions from an international team of experts from a wide range of research areas including sensing, computer vision, signal processing and device and control applications, this book highlights the emerging role of cognitive sensors in a growing number of real time applications including smart health, smart cities, smart transportation and smart agriculture.The volume will be suitable for a broad audience of researchers in the fields of smart sensing, signal processing, automation and robotics, environmental engineering, energy engineering, biomedical engineering and allied disciplines where smart sensors are part of the curriculum.

Smart grids enable efficient integration of rising shares of distributed and intermittent renewable power generation at various scales, and variable loads, for example from electric vehicles. This requires sophisticated communication and computation, as well as monitoring and protection from both malfunctions and malicious interference.Control, Communication, Monitoring and Protection of Smart Grids summarises recent developments in the field. It begins by reviewing the principles of smart grids and microgrids, and their relation to renewables and power electronics. Ensuing chapters deal with renewable energy integration in smart grids, adaptive control, reinforcement learning, advanced and robust control, bi-directional virtual inertia, fault direction identification, smart grid protection, cyber-power grid monitoring, condition monitoring and health prognosis, and PV integrated EV charging in V2G/G2V operation. A final chapter brings together case studies from various countries.This book offers a series of broad of perspectives on important questions in the field of smart grids and their control, for researchers involved with power grids, as well as those in electrical and computer engineering in the power industry.

This volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022).