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Feedback Control, Cybernetics, and Robotics. What is a Robotic System? A robotic system—a device that can measure its own state and take action based.

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Presentation on theme: "Feedback Control, Cybernetics, and Robotics. What is a Robotic System? A robotic system—a device that can measure its own state and take action based."— Presentation transcript:

1 Feedback Control, Cybernetics, and Robotics

2 What is a Robotic System? A robotic system—a device that can measure its own state and take action based on it.

3 History of Feedback Control  Ancient China  two-foot-long bamboo straw which automatically regulated wine consumption!

4 History of Feedback Control  Greek water clock

5 History of Feedback Control  Drebbel’s furnace

6 History of Feedback Control  Bonnemain’s chickens

7 History of Feedback Control  Windmills and fantails

8 History of Feedback Control  Watt’s centrifugal flyball “Governor”  The breakthrough in effectiveness and public recognition.  Built on the windmill and water regulation principles.  Huge impact on the Industrial Revolution

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10 The Governor  Applying a known principle to a new application

11 Control Engineering Closed-loop control  Cruise control

12 Control Engineering  WWII advances achieved out of need for survival  Radar  Guided missles  Automatic pilots

13 Control Engineering  Norden Bombsight  Ending the war in both Europe and the Pacific

14 Soviet Union  Sputnik 1957  International Federation of Automatic Control (IFAC)  First meeting held in Moscow 1960

15 US Response  The era of Modern Control begins with the Kalman Filter--1960  combining and filtering information from multiple sensor sources  Highly accurate mathematic formula  Navigation systems transformed

16 Modern Control  Microprocessor 1969  Industrial process control  Relies less on engineering intuition and more on internal system design

17 Classical vs. Modern Systems  Linear time-invariant systems  Design done graphically by hand  Involves a great deal of intuition  Design process is an engineering art  An exact description of the internal system dynamics is needed  A good knowledge of matrices and linear algebra is required

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