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2.004 Dynamics and Control II (MIT) 2.004 Dynamics and Control II (MIT)

Description

Upon successful completion of this course, students will be able to: Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domains Make quantitative estimates of model parameters from experimental measurements Obtain the time-domain response of linear systems to initial conditions and/or common forcing functions (specifically; impulse, step and ramp input) by both analytical and computational methods Obtain the frequency-domain response of linear systems to sinusoidal inputs Compensate the transient response of dynamic systems using feedback techniques Design, implement and test an active control system to achieve a desired performance measure Mastery of these topics will be assessed via homework, quizzes/exams, and lab assig Upon successful completion of this course, students will be able to: Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domains Make quantitative estimates of model parameters from experimental measurements Obtain the time-domain response of linear systems to initial conditions and/or common forcing functions (specifically; impulse, step and ramp input) by both analytical and computational methods Obtain the frequency-domain response of linear systems to sinusoidal inputs Compensate the transient response of dynamic systems using feedback techniques Design, implement and test an active control system to achieve a desired performance measure Mastery of these topics will be assessed via homework, quizzes/exams, and lab assigSubjects

Laplace transform | Laplace transform | transform function | transform function | electrical and mechanical systems | electrical and mechanical systems | pole-zero diagram | pole-zero diagram | linearization | linearization | block diagrams | block diagrams | feedback control systems | feedback control systems | stability | stability | root-locus plot | root-locus plot | compensation | compensation | Bode plot | Bode plot | state space representation | state space representation | minimum time | minimum timeLicense

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See all metadata2.004 Systems, Modeling, and Control II (MIT) 2.004 Systems, Modeling, and Control II (MIT)

Description

Upon successful completion of this course, students will be able to:Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domainsMake quantitative estimates of model parameters from experimental measurementsObtain the time-domain response of linear systems to initial conditions and/or common forcing functions (specifically; impulse, step and ramp input) by both analytical and computational methodsObtain the frequency-domain response of linear systems to sinusoidal inputsCompensate the transient response of dynamic systems using feedback techniquesDesign, implement and test an active control system to achieve a desired performance measureMastery of these topics will be assessed via homework, quizzes/exams, and lab assignments. Upon successful completion of this course, students will be able to:Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domainsMake quantitative estimates of model parameters from experimental measurementsObtain the time-domain response of linear systems to initial conditions and/or common forcing functions (specifically; impulse, step and ramp input) by both analytical and computational methodsObtain the frequency-domain response of linear systems to sinusoidal inputsCompensate the transient response of dynamic systems using feedback techniquesDesign, implement and test an active control system to achieve a desired performance measureMastery of these topics will be assessed via homework, quizzes/exams, and lab assignments.Subjects

Laplace transform | Laplace transform | transform function | transform function | electrical and mechanical systems | electrical and mechanical systems | pole-zero diagram | pole-zero diagram | linearization | linearization | block diagrams | block diagrams | feedback control systems | feedback control systems | stability | stability | root-locus plot | root-locus plot | compensation | compensation | Bode plot | Bode plot | state space representation | state space representation | minimum time | minimum timeLicense

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.htmSite sourced from

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See all metadataControl systems analysis for engineers

Description

This site contains links to resources for an introduction to control analysis for second year engineering undergraduate.The main focus is on block diagrams, offsets, pole computations, understanding stability/instability, root-loci, bode, nyquist, margins and an introduction to lead and lag compensation. The focus is on analysis not design which is covered in a later course. The resources here include the lecture hand outs which include embedded tutorial questions, some powerpoints for structuring lectures, some games/quizzes for lectures, a MATLAB laboratory based on significant prior practice, a FLASH lecture and then a formal laboratory test under exam conditions and a small data base of CAA developed on webct (here provided in a zip file). These were developed at the University of ShefSubjects

ukoer | block diagrams | feedback | offset | steady state errors | poles | open-loop | closed-loop | root-loci | control | performance | frequency response | gain margin | phase margin | lead compenssator | lag compensator | sisotool | signal flow graph | convolution | resonance | control analysis | classical control | creative commons | laplace | bode | nyquist | matlab | engineering undergraduate education ukoer | oer | jisc | hea | hea engineering subject centre | university of sheffield | flash lecture | sheffieldunioer | engscoer | cc-by | wales | engineering | Mathematical and Computer Sciences | Engineering | Computer science | H000 | I100 | ENGINEERING | XLicense

Attribution 2.0 UK: England & Wales Attribution 2.0 UK: England & Wales http://creativecommons.org/licenses/by/2.0/uk/ http://creativecommons.org/licenses/by/2.0/uk/Site sourced from

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See all metadata2.004 Dynamics and Control II (MIT)

Description

Upon successful completion of this course, students will be able to: Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domains Make quantitative estimates of model parameters from experimental measurements Obtain the time-domain response of linear systems to initial conditions and/or common forcing functions (specifically; impulse, step and ramp input) by both analytical and computational methods Obtain the frequency-domain response of linear systems to sinusoidal inputs Compensate the transient response of dynamic systems using feedback techniques Design, implement and test an active control system to achieve a desired performance measure Mastery of these topics will be assessed via homework, quizzes/exams, and lab assigSubjects

Laplace transform | transform function | electrical and mechanical systems | pole-zero diagram | linearization | block diagrams | feedback control systems | stability | root-locus plot | compensation | Bode plot | state space representation | minimum timeLicense

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.htmSite sourced from

https://ocw.mit.edu/rss/all/mit-allcourses.xmlAttribution

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See all metadata2.004 Systems, Modeling, and Control II (MIT)

Description

Upon successful completion of this course, students will be able to:Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domainsMake quantitative estimates of model parameters from experimental measurementsObtain the time-domain response of linear systems to initial conditions and/or common forcing functions (specifically; impulse, step and ramp input) by both analytical and computational methodsObtain the frequency-domain response of linear systems to sinusoidal inputsCompensate the transient response of dynamic systems using feedback techniquesDesign, implement and test an active control system to achieve a desired performance measureMastery of these topics will be assessed via homework, quizzes/exams, and lab assignments.Subjects

Laplace transform | transform function | electrical and mechanical systems | pole-zero diagram | linearization | block diagrams | feedback control systems | stability | root-locus plot | compensation | Bode plot | state space representation | minimum timeLicense

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.htmSite sourced from

https://ocw.mit.edu/rss/all/mit-allcourses.xmlAttribution

Click to get HTML | Click to get attribution | Click to get URLAll metadata

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