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2.141 Modeling and Simulation of Dynamic Systems (MIT) 2.141 Modeling and Simulation of Dynamic Systems (MIT)

Description

This course deals with modeling multi-domain engineering systems at a level of detail suitable for design and control system implementation. Topics covered include network representation, state-space models; multi-port energy storage and dissipation, Legendre transforms, nonlinear mechanics, transformation theory, Lagrangian and Hamiltonian forms and control-relevant properties. Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission. This course deals with modeling multi-domain engineering systems at a level of detail suitable for design and control system implementation. Topics covered include network representation, state-space models; multi-port energy storage and dissipation, Legendre transforms, nonlinear mechanics, transformation theory, Lagrangian and Hamiltonian forms and control-relevant properties. Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission.

Subjects

Modeling multi-domain engineering systems | Modeling multi-domain engineering systems | design and control system implementation | design and control system implementation | Network representation | Network representation | state-space models | state-space models | dissipation | dissipation | Legendre transforms | Legendre transforms | Nonlinear mechanics | Nonlinear mechanics | transformation theory | transformation theory | Hamiltonian forms | Hamiltonian forms | Control-relevant properties | Control-relevant properties | electro-mechanical transducers | electro-mechanical transducers | mechanisms | mechanisms | electronics | electronics | thermal systems | thermal systems | compressible flow | compressible flow | chemical processes | chemical processes | diffusion | diffusion | wave transmission | wave transmission

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.685 Electric Machines (MIT) 6.685 Electric Machines (MIT)

Description

6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines, and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines. 6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines, and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

Subjects

electric | electric | machine | machine | transformers | transformers | electromechanical | electromechanical | transducers | transducers | rotating | rotating | linear electric machines | linear electric machines | lumped parameter | lumped parameter | dc | dc | induction | induction | synchronous | synchronous | energy conversion | energy conversion | electromechanics | electromechanics | Mechatronics | Mechatronics | Electromechanical transducers | Electromechanical transducers | rotating electric machines | rotating electric machines | lumped-parameter elecromechanics | lumped-parameter elecromechanics | interaction electromechanics | interaction electromechanics | device characteristics | device characteristics | energy conversion density | energy conversion density | efficiency | efficiency | system interaction characteristics | system interaction characteristics | regulation | regulation | stability | stability | controllability | controllability | response | response | electric machines | electric machines | drive systems | drive systems | electric machinery | electric machinery | electromechanical systems | electromechanical systems | design | design | dynamic parameters | dynamic parameters | phenomena | phenomena | interactions | interactions | classical mechanics | classical mechanics

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.141 Modeling and Simulation of Dynamic Systems (MIT) 2.141 Modeling and Simulation of Dynamic Systems (MIT)

Description

This course models multi-domain engineering systems at a level of detail suitable for design and control system implementation. Topics include network representation, state-space models; multi-port energy storage and dissipation, Legendre transforms; nonlinear mechanics, transformation theory, Lagrangian and Hamiltonian forms; and control-relevant properties. Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission. This course models multi-domain engineering systems at a level of detail suitable for design and control system implementation. Topics include network representation, state-space models; multi-port energy storage and dissipation, Legendre transforms; nonlinear mechanics, transformation theory, Lagrangian and Hamiltonian forms; and control-relevant properties. Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission.

Subjects

Modeling multi-domain engineering systems | Modeling multi-domain engineering systems | design and control system implementation | design and control system implementation | Network representation | Network representation | state-space models | state-space models | dissipation | dissipation | Legendre transforms | Legendre transforms | Nonlinear mechanics | Nonlinear mechanics | transformation theory | transformation theory | Hamiltonian forms | Hamiltonian forms | Control-relevant properties | Control-relevant properties | electro-mechanical transducers | electro-mechanical transducers | mechanisms | mechanisms | electronics | electronics | thermal systems | thermal systems | compressible flow | compressible flow | chemical processes | chemical processes | diffusion | diffusion | wave transmission | wave transmission

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.76 Multi-Scale System Design (MIT) 2.76 Multi-Scale System Design (MIT)

Description

Multi-scale systems (MuSS) consist of components from two or more length scales (nano, micro, meso, or macro-scales). In MuSS, the engineering modeling, design principles, and fabrication processes of the components are fundamentally different. The challenge is to make these components so they are conceptually and model-wise compatible with other-scale components with which they interface. This course covers the fundamental properties of scales, design theories, modeling methods and manufacturing issues which must be addressed in these systems. Examples of MuSS include precision instruments, nanomanipulators, fiber optics, micro/nano-photonics, nanorobotics, MEMS (piezoelectric driven manipulators and optics), X-Ray telescopes and carbon nano-tube assemblies. Students master the materials Multi-scale systems (MuSS) consist of components from two or more length scales (nano, micro, meso, or macro-scales). In MuSS, the engineering modeling, design principles, and fabrication processes of the components are fundamentally different. The challenge is to make these components so they are conceptually and model-wise compatible with other-scale components with which they interface. This course covers the fundamental properties of scales, design theories, modeling methods and manufacturing issues which must be addressed in these systems. Examples of MuSS include precision instruments, nanomanipulators, fiber optics, micro/nano-photonics, nanorobotics, MEMS (piezoelectric driven manipulators and optics), X-Ray telescopes and carbon nano-tube assemblies. Students master the materials

Subjects

scale | scale | complexity | complexity | nano | micro | meso | or macro-scale | nano | micro | meso | or macro-scale | kinematics | kinematics | metrology | metrology | engineering modeling | motion | engineering modeling | motion | modeling | modeling | design | design | manufacture | manufacture | design principles | design principles | fabrication process | fabrication process | functional requirements | functional requirements | precision instruments | precision instruments | nanomanipulators | fiber optics | micro- photonics | nano-photonics | nanorobotics | MEMS | nanomanipulators | fiber optics | micro- photonics | nano-photonics | nanorobotics | MEMS | piezoelectric | transducer | actuator | sensor | piezoelectric | transducer | actuator | sensor | constraint | rigid constraint | flexible constraint | ride-flexible constraint | constraint | rigid constraint | flexible constraint | ride-flexible constraint | constaint-based design | constaint-based design | carbon nanotube | carbon nanotube | nanowire | nanowire | scanning tunneling microscope | scanning tunneling microscope | flexure | flexure | protein structure | protein structure | polymer structure | polymer structure | nanopelleting | nanopipette | nanowire | nanopelleting | nanopipette | nanowire | TMA pixel array | TMA pixel array | error modeling | error modeling | repeatability | repeatability

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.685 Electric Machines (MIT) 6.685 Electric Machines (MIT)

Description

6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines. 6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

Subjects

linear electric machines | linear electric machines | synchronous | synchronous | transformer | transformer | electromechanics | electromechanics | dc | dc | machines | machines | electromechanical transducer | electromechanical transducer | rotatingelectric | rotatingelectric | mechatronics | mechatronics | induction | induction | energy conversion | energy conversion | lumped parameter | lumped parameter | electric | electric | rotating | rotating | electromechanical | electromechanical | transducers | transducers

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.685 Electric Machines (MIT)

Description

6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

Subjects

linear electric machines | synchronous | transformer | electromechanics | dc | machines | electromechanical transducer | rotatingelectric | mechatronics | induction | energy conversion | lumped parameter | electric | rotating | electromechanical | transducers

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.685 Electric Machines (MIT)

Description

6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

Subjects

linear electric machines | synchronous | transformer | electromechanics | dc | machines | electromechanical transducer | rotatingelectric | mechatronics | induction | energy conversion | lumped parameter | electric | rotating | electromechanical | transducers

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.685 Electric Machines (MIT)

Description

6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

Subjects

linear electric machines | synchronous | transformer | electromechanics | dc | machines | electromechanical transducer | rotatingelectric | mechatronics | induction | energy conversion | lumped parameter | electric | rotating | electromechanical | transducers

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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2.141 Modeling and Simulation of Dynamic Systems (MIT)

Description

This course deals with modeling multi-domain engineering systems at a level of detail suitable for design and control system implementation. Topics covered include network representation, state-space models; multi-port energy storage and dissipation, Legendre transforms, nonlinear mechanics, transformation theory, Lagrangian and Hamiltonian forms and control-relevant properties. Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission.

Subjects

Modeling multi-domain engineering systems | design and control system implementation | Network representation | state-space models | dissipation | Legendre transforms | Nonlinear mechanics | transformation theory | Hamiltonian forms | Control-relevant properties | electro-mechanical transducers | mechanisms | electronics | thermal systems | compressible flow | chemical processes | diffusion | wave transmission

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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https://ocw.mit.edu/rss/all/mit-allarchivedcourses.xml

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6.685 Electric Machines (MIT)

Description

6.685 explores concepts in electromechanics, using electric machinery as examples. It teaches an understanding of principles and analysis of electromechanical systems. By the end of the course, students are capable of doing electromechanical design of the major classes of rotating and linear electric machines, and have an understanding of the principles of the energy conversion parts of Mechatronics. In addition to design, students learn how to estimate the dynamic parameters of electric machines and understand what the implications of those parameters are on the performance of systems incorporating those machines.

Subjects

electric | machine | transformers | electromechanical | transducers | rotating | linear electric machines | lumped parameter | dc | induction | synchronous | energy conversion | electromechanics | Mechatronics | Electromechanical transducers | rotating electric machines | lumped-parameter elecromechanics | interaction electromechanics | device characteristics | energy conversion density | efficiency | system interaction characteristics | regulation | stability | controllability | response | electric machines | drive systems | electric machinery | electromechanical systems | design | dynamic parameters | phenomena | interactions | classical mechanics

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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2.141 Modeling and Simulation of Dynamic Systems (MIT)

Description

This course models multi-domain engineering systems at a level of detail suitable for design and control system implementation. Topics include network representation, state-space models; multi-port energy storage and dissipation, Legendre transforms; nonlinear mechanics, transformation theory, Lagrangian and Hamiltonian forms; and control-relevant properties. Application examples may include electro-mechanical transducers, mechanisms, electronics, fluid and thermal systems, compressible flow, chemical processes, diffusion, and wave transmission.

Subjects

Modeling multi-domain engineering systems | design and control system implementation | Network representation | state-space models | dissipation | Legendre transforms | Nonlinear mechanics | transformation theory | Hamiltonian forms | Control-relevant properties | electro-mechanical transducers | mechanisms | electronics | thermal systems | compressible flow | chemical processes | diffusion | wave transmission

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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2.76 Multi-Scale System Design (MIT)

Description

Multi-scale systems (MuSS) consist of components from two or more length scales (nano, micro, meso, or macro-scales). In MuSS, the engineering modeling, design principles, and fabrication processes of the components are fundamentally different. The challenge is to make these components so they are conceptually and model-wise compatible with other-scale components with which they interface. This course covers the fundamental properties of scales, design theories, modeling methods and manufacturing issues which must be addressed in these systems. Examples of MuSS include precision instruments, nanomanipulators, fiber optics, micro/nano-photonics, nanorobotics, MEMS (piezoelectric driven manipulators and optics), X-Ray telescopes and carbon nano-tube assemblies. Students master the materials

Subjects

scale | complexity | nano | micro | meso | or macro-scale | kinematics | metrology | engineering modeling | motion | modeling | design | manufacture | design principles | fabrication process | functional requirements | precision instruments | nanomanipulators | fiber optics | micro- photonics | nano-photonics | nanorobotics | MEMS | piezoelectric | transducer | actuator | sensor | constraint | rigid constraint | flexible constraint | ride-flexible constraint | constaint-based design | carbon nanotube | nanowire | scanning tunneling microscope | flexure | protein structure | polymer structure | nanopelleting | nanopipette | nanowire | TMA pixel array | error modeling | repeatability

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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