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Basics of control Lin Zhong ELEC424, Fall 2010 1
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How can we set the room temperature at 78°? Room: the system Temperature: the state of the system or the process variable 2
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Sensor to measure the system stateActuator to change the system state 3
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Actuator Sensor Controller Feedback system 4
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Actuator Sensor Controller Feedback system Setpoint: r Output: y Control: u 5
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Process Controller Feedback system (Contd.) Setpoint: r Output: y Control: u 6
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Process Controller Feedback system (Contd.) Setpoint: r Error: e=r-y - Output: y Control: u 7
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On-off control If e>0, u=1 (On); if (e<=0), u=0 (Off) Process Controller Setpoint: r Error: e=r-y - Output: y Control: u 8
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On-off control (Contd.) e uOn Off 9
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On-off control with hysteresis e uOn Off 10 Reduction in switching frequency
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Targeted state Starting state How is a controller evaluated? 11
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Targeted state Starting state Rise time 10% Time for the state to rise to within 10% of the desired level for the first time 12
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Targeted state Starting state Overshoot Difference between peak and the targeted state 13
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Targeted state Starting state Settling time time it takes the system to converge to the steady state 14
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Targeted state Starting state Steady-state error 15
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Targeted state Starting state In practice 16 Settling time
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Proportional control u=K×e Process Controller Setpoint: r Error: e=r-y - Output: y Control: u 17
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Proportional control u=K×e Process Controller Setpoint: r Error: e=r-y - Output: y Control: u 18 Heat dissipated at (100 Joules/s) Heat generated at 10*e (Joules/s) Steady-state error: 10°
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Proportional control Larger K Smaller steady-state error Longer settling time Danger of oscillation 19 http://www.cds.caltech.edu/~murray/courses/cds101/fa02/caltech/astrom.html
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Proportion/Integral (PI) control 20 Process Controller Setpoint: r Error: e=r-y - Output: y Control: u
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PI control Smaller T i Danger of oscillation 21
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Proportion/Integral/Derivative (PID) control 22 Process Controller Setpoint: r Error: e=r-y - Output: y Control: u
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Derivative 23 Larger T d Reduced danger of oscillation Too large T d Danger of oscillation increases again
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PID control Developed early 20 th century – Nicolas Minorsky (1922): automatic steering system for US Navy Extremely widely used – 97% of regulatory controllers in refining, chemical, and pulp & paper industries Very often PI control is used 24
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