Embedded Mechatronics System Design For Uncertain Environments
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Embedded Mechatronics System Design for Uncertain Environments
The book has been prepared for the needs of those who seek an application on developing embedded mechatronics system easy for control purposes. The choice of material is guided by the basic objective of making an engineer or student capable of dealing with embedded system design. The book can be used as a textbook, reference book, laboratory exercise for a first course in Linux®-based embedded system, xPC-Target, PIC-Microchip, ARDUINO®, and Raspberry Pi. The contents of the book are organized into seven main chapters with program codes. The main chapters include sections on Linux®-based system design, model-based simulation, and xPC-Target system design. In these chapters, it contains applications on various real-life systems such as the underwater robotics vehicle, vacuum cleaning, climbing robot for inspection, magnetic levitation for conveyor system, temperature monitoring, face recognition and vision-based inspection using camera, and vibration sensor. As it is not possible to cover every single subject in each chapter, the chapters therefore emphasize on certain topics in the embedded systems design process. The software adopted throughout the chapters are Ubuntu/ FedoraTM, PythonTM, QtTM, MATLAB®/Simulink®, and other open-source software development kits from PIC-Microchip, ARDUINO®, and R.
Embedded Mechatronics System Design for Uncertain Environments
The book has been prepared for the needs of those who seek an application on developing embedded mechatronics system easy for control purposes. The choice of material is guided by the basic objective of making an engineer or student capable of dealing with embedded system design. The book can be used as a textbook, reference book, laboratory exercise for a first course in Linux®-based embedded system, xPC-Target, PIC-Microchip, ARDUINO®, and Raspberry Pi. The contents of the book are organized into seven main chapters with program codes. The main chapters include sections on Linux®-based system design, model-based simulation, and xPC-Target system design. In these chapters, it contains applications on various real-life systems such as the underwater robotics vehicle, vacuum cleaning, climbing robot for inspection, magnetic levitation for conveyor system, temperature monitoring, face recognition and vision-based inspection using camera, and vibration sensor. As it is not possible to cover every single subject in each chapter, the chapters therefore emphasize on certain topics in the embedded systems design process. The software adopted throughout the chapters are Ubuntu/ FedoraTM, PythonTM, QtTM, MATLAB®/Simulink®, and other open-source software development kits from PIC-Microchip, ARDUINO®, and R.
Benchmark Models of Control System Design for Remotely Operated Vehicles
This book is intended to meet the needs of those who seek to develop control systems for ROVs when there is no model available during the initial design stage. The modeling, simulation and application of marine vehicles like underwater robotic vehicles (URVs) are multidisciplinary, and combine mathematical aspects from various engineering disciplines. URVs such as remotely operated vehicle (ROVs) are used for a wide range of applications such as exploring the extreme depths of our ocean, where a hard-wired link is still required. Most ROVs operate in extreme environments with uncertainties in the model prior to control system design. However, the method involved extensive testing before the system model could be used for any control actions. It has been found that the range of error can be extensive and uncertain in actual, continuously varying conditions. Hence, it is important to address the problem of reliance on model testing using different modeling approaches. In this book, approaches such as WAMIT, ANSYS-CFX, STAR CCM+, MATLAB and Simulink are used to model parameters for ROVs. A few benchmark models are provided, allowing researchers and students to explore and test different control schemes. Given its scope, the book offers a valuable reference guide for postgraduate and undergraduate students engaged in modeling and simulation for ROV control.