Modeling and simulation of mechatronic systems using Simscape / Shuvra Das.Material type: TextSeries: Synthesis digital library of engineering and computer science | Synthesis lectures on mechanical engineering ; #24.Publisher: [San Rafael, California] : Morgan & Claypool, Description: 1 PDF (xi, 159 pages) : illustrations (color)Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681737355Subject(s): MATLAB | SIMULINK | Mechatronics -- Data processing | mechatronics | multi-disciplinary | modeling and simulation | MATLAB | Simscape | physical system modeling | system response | controls | time response | frequency responseGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 621 LOC classification: TJ163.12 | .D376 2020ebOnline resources: Abstract with links to full text | Abstract with links to resource Also available in print.
|Item type||Current library||Call number||Status||Date due||Barcode|
|Ebooks||Indian Institute of Technology Delhi - Central Library||Available|
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references (page 157).
1. Introduction to mechatronic systems -- 1.1. Introduction -- 1.2. What is a system and why model systems? -- 1.3. Mathematical modeling techniques used in practice -- 1.4. Software
2. Introduction to Simscape -- 2.1. Physical network approach to modeling using Simscape -- 2.2. Getting started with Simscape -- 2.3. Summary
3. Modeling mechanical translation and rotation -- 3.1. Introduction -- 3.2. Examples -- 3.3. Summary
4. Modeling electrical systems -- 4.1. Introduction -- 4.2. Examples -- 4.3. Summary
5. Modeling magnetic systems -- 5.1. Introduction -- 5.2. Some basic magnetic elements -- 5.3. Examples -- 5.4. Summary
6. Modeling mechatronic systems (multi-domains) and their control -- 6.1. Introduction -- 6.2. Permanent magnet DC motor -- 6.3. Examples -- 6.4. Summary
7. Case studies of modeling mechatronic systems -- 7.1. Introduction -- 7.2. Examples -- 7.3. Examples related to electric and hybrid electric vehicle applications -- 7.4. Summary.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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Mechatronic Systems consist of components and/or sub-systems which are from different engineering domains. For example, a solenoid valve has three domains that work in a synergistic fashion: electrical, magnetic, and mechanical (translation). Over the last few decades, engineering systems have become more and more mechatronic. Automobiles are transforming from being gasoline-powered mechanical devices to electric, hybrid electric and even autonomous. This kind of evolution has been possible through the synergistic integration of technology that is derived from different disciplines. Understanding and designing mechatronic systems needs to be a vital component of today's engineering education. Typical engineering programs, however, mostly continue to train students in academic silos (otherwise known as majors) such as mechanical, electrical, or computer engineering. Some universities have started offering one or more courses on this subject and a few have even started full programs around the theme of Mechatronics. Modeling the behavior of Mechatronic systems is an important step for analysis, synthesis, and optimal design of such systems. One key training necessary for developing this expertise is to have comfort and understanding of the basic physics of different domains. A second need is a suitable software tool that implements these laws with appropriate flexibility and is easy to learn. This short text addresses the two needs: it is written for an audience who will likely have good knowledge and comfort in one of the several domains that we will consider, but not necessarily all; the book will also serve as a guide for the students to learn how to develop mechatronic system models with Simscape (a MATLAB tool box). The book uses many examples from different engineering domains to demonstrate how to develop mechatronic system models and what type of information can be obtained from the analyses.
Also available in print.
Title from PDF title page (viewed on April 6, 2020).