Introduction to feedback and loop analysis - Use of Matlab for Control analysis

Introduction to feedback and loop analysis - Use of Matlab for Control analysis

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These chapters give an introduction to feedback. Why is feedback needed? What framework do I need to analyse feedback loops and behaviour? How can tools such as MATLAB be used to support this analysis and finally an introduction to basic feedback compensation laws such as proportional and integral.

The University of Sheffield


    • Apr 19, 2014 LATEST EPISODE
    • infrequent NEW EPISODES
    • 12m AVG DURATION
    • 11 EPISODES


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    Latest episodes from Introduction to feedback and loop analysis - Use of Matlab for Control analysis

    Use of Matlab 1 - solving ODEs

    Play Episode Listen Later Apr 19, 2014 14:40


    Demonstrates the use of the MATLAB ODE solver through a few case studies and live screen shots from MATLAB.

    demonstrates odes matlab
    Use of Matlab 2 - creating transfer functions

    Play Episode Listen Later Apr 19, 2014 16:26


    Demonstrates how to enter transfer functions into MATLAB. Also illustrates short cut for creating polynomials from roots. Uses live screen shots from MATLAB.

    functions demonstrates matlab
    Use of Matlab 3 - closed-loop transfer functions

    Play Episode Listen Later Apr 19, 2014 13:45


    Demonstrates how closed-loop transfer functions can be formed for the various signals in a simple feedback loop. Uses live screen shots from MATLAB.

    functions demonstrates matlab closed loop
    Use of Matlab 4 - analysing transfer functions

    Play Episode Listen Later Apr 19, 2014 9:35


    Shows how useful information can be extracted from a transfer fnction such as the pole and zero positions and steady-state gain. Uses live screen shots from MATLAB.

    functions analysing matlab
    Use of Matlab 5 - step responses

    Play Episode Listen Later Apr 19, 2014 14:11


    Demonstrates simple creation and display of step response information, including how to control the end time and display to meet user needs. Uses live screen shots from MATLAB.

    responses demonstrates matlab
    Use of Matlab 6 - closed-loop offsets

    Play Episode Listen Later Apr 19, 2014 9:47


    Shows how the user can either produce numerical output for defining the offset to a step or produce plots which illustrate this. Uses live screen shots from MATLAB.

    matlab closed loop offsets
    Use of Matlab 7 - responses for general inputs

    Play Episode Listen Later Apr 19, 2014 11:04


    Demonstrates the use of lsim.m which allows the user to enter time varying input signals into a transfer function and compute the corresponding output. This could be useful for frequency response and other scenarios. Uses live screen shots from MATLAB.

    responses inputs demonstrates matlab
    Use of Matlab 8 - offset to ramps

    Play Episode Listen Later Apr 19, 2014 5:36


    More for completeness this video shows that lsim.m allows the display of ramp following scenarios. Also gives simple code for computing offset, when that is finite. Uses live screen shots from MATLAB.

    offset ramps matlab
    Use of Matlab 9 - trial and error design for offset

    Play Episode Listen Later Apr 19, 2014 14:25


    It can be useful for students to explore how changes in compensator affect closed-loop behaviour. This video illustrates how one can develop short code snippets that allow efficient iteration or trial and error like processes for such investigations; focusses on offset. Uses live screen shots from MATLAB.

    design offset trial and error matlab
    Use of Matlab 10 - trial and error design for closed-loop poles

    Play Episode Listen Later Apr 19, 2014 10:58


    It can be useful for students to explore how changes in compensator affect closed-loop behaviour. This video illustrates how one can develop short code snippets that allow efficient iteration or trial and error like processes for such investigations; focusses on closed-loop poles. Uses live screen shots from MATLAB.

    design poles trial and error matlab closed loop
    Use of Matlab 11 - trial and error for overall closed-loop analysis

    Play Episode Listen Later Apr 19, 2014 11:58


    It can be useful for students to explore how changes in compensator affect overall closed-loop behaviour. This video illustrates how one can develop short code snippets that allow efficient iteration or trial and error like processes for such investigations; focusses on how to view numerous attributes at once. Uses live screen shots from MATLAB.

    trial and error matlab closed loop

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