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Feedback

Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo. Feedback. Outline of Today’s Lecture. Actuate. Sense. Review Class Policy What is Control? Feedback Open Loop Systems Closed Loop System Positive Feedback

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Feedback

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  1. Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Feedback

  2. Outline of Today’s Lecture Actuate Sense • Review • Class Policy • What is Control? • Feedback • Open Loop Systems • Closed Loop System • Positive Feedback • Negative Feedback • Control actions using feedback Compute

  3. Class Policies • Syllabus • Students are expected to be at class on time. • Book: Online at • http://www.cds.caltech.edu/~murray/amwiki/index.php/Version_2.10e • You will be required to read this BEFORE coming to class. • Recitation points come from your reading! • Homework is due on the date shown in the syllabus at the beginning of the class period • Late homework will not be accepted • Neatness Counts! • Individual work • Academic dishonesty (cheating, plagiarizing, and related offenses,) will be harshly dealt with.

  4. Control • Control = • Sensing + • {Where are you at? Is it where you want to be?} • Computation + • {Can you find a path to where you want to go?} • Actuation • { Make things happen to get you there!}

  5. Why Controls? • Why Controls? • Things move • Too many things happening • Things move too fast for the human brain to compute and for muscles to act • Noise and disturbances • Accuracy and precision • Cost

  6. Where Do You Find Controls? • Everywhere!

  7. Controls: What are differences here? • Control = Sense + Compute + ActuateBench rest • TOW explained

  8. Open Loop Control • Usually “set point” systems • Advantages • Simple • Sensitive to environment • Set and forget • Disadvantages • Non correcting • Sensitive to disturbances • Insensitive to environment • Examples • Irrigation systems • Washing machines Sensing Compute Actuate

  9. Closed Loop Control Actuate Sense • Adds a feedback loop to the control system • For computational purposes, it is shown as Controller Plant Compute Sensor Disturbance + or - + or - Output Input + or - + or -

  10. Positive Feedback Background sound + + Sound Ambient Sound + + + + Controller Controller Plant Plant + + Speaker Amplifier Previous Vibrations Sensor Sensor Guitar String w/ pickup Plucked String String Vibrations 2 possible models Vibrating Guitar String Amplifier Speaker Magnetic Pickup Positive Feedback Clip

  11. Positive Feedback • Positive feedback is used to increase the actuation in the loop. • Advantages • Increased results • Faster results • Finds extremes • (maxima and minima) • Disadvantages • Consumes energy • Subject to local extremes (introns) • May become unstable • May destroy system • Examples: • Metal finders • Searches • Stock market programs • Genetic Algorithm performance measure build population test Worst Best Culled from Population create mutations Results

  12. Negative Feedback Error Signal Disturbance + + + Controller Controller Plant Plant Output - Input Sensor Sensor Salt Desired Heart Beat + + + Heart Beat - Parasympathetic/Sympathetic System Heart homeostasis Nerves

  13. Negative Feedback • Negative Feedback is used to reduce error • Advantages • Controls to a set point • Robustness to disturbances (uncertainty) • Rejection of distortion • Disadvantages • Prone to oscillation • Instability • Complexity • Coupling • Examples • Set point control • Tracking • Chang the system dynamics

  14. Basic Control Actions • Bang – Bang • Most are on – off controls where either something is turned on or turned off in response to sensor: • If the error signal is greater than e1, turn system on • If error is signal is less than e2, turn system off • e1 and e2 are usually not be the same value • The control action could be reversed • Example: Sump pump • if water level is above 20, turn pump on • if water level is below 5, turn pump off

  15. Basic Control Actions • Proportional • Control action is proportional to the error sensed • command = K * error signal • K is often called the “gain” of the controller • Example: Volume knob on the radio

  16. Basic Control Actions • Integral control • control command is based on the size of the error and the length of time the error has existed • Example: Ripening of fruit • when fruit ripen they release ethylene • the ethylene increases the rate of ripening Ripening fruit

  17. Basic Control Actions • Derivative control • control command is based on the magnitude and the rate of change of the error • Rarely alone used because of instabilities created by the speed of changes • Example: Pollution control of furnace

  18. Basic Control Actions • Combined • PID (Proportional – Integral – Derivative) • sums all three actions • Most used control strategy • Example: Motor controllers

  19. Summary • Open Loop • Closed Loop • Feedback • Positive feedback • Negative Feedback • Basic Control Actions • Bang-bang • Proportional • Integral • Deriviative • PID • Next: Modeling

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