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PID CONTROL Mechanical Engineering Experiment II Department of Mechanical Engineering Faculty of Engineering Khon Kaen University Khon Kaen, THAILAND NUMPON MAHAYOTSANUN

PID Control

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Summary of PID control for Mechanical Engineering Experiment II Course, Department of Mechanical Engineering, Khon Kaen University, Thailand.

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Page 1: PID Control

PID CONTROLMechanical Engineering Experiment II

Department of Mechanical EngineeringFaculty of EngineeringKhon Kaen University

Khon Kaen, THAILAND

NUMPON MAHAYOTSANUN

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IDEAL SYSTEM Ideal SystemSetpoint Desired Output

Desired output not equal to setpoint

Desired output too slow

Desired output oscillates

Not quite ideal because...

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CLOSED LOOP CONTROL

SystemSetpoint Desired OutputController

Desired output is measured and processed by a controller

The controller compares the desired output to the setpoint level to determine a new control input for the system

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PID CONTROL

Proportional term Proportional gain (tuning parameter) Error (setpoint – output) time or instantaneous time Integral term Integral gain (tuning parameter) Dummy integration variable Derivative term Derivative gain (tuning parameter)

Proportional Term (P)

- Directly make changes to the current error- Multiply the error by a constant Kp- High proportional gain yields large change in output- Too high proportional gain yields unstable system- Too small proportional gain yields less re-sponsive controller

Integral Term (I)

- Sum the error over time- Give the accumulated offset that should have been corrected previously- Multiply the accumilated error by a constant Ki- Accelerate the controller output towards setpoint- Eliminate the residual steady-state error pro-duced by the proportional term

Derivative Term (D)

- Calculate the slope of the error over time- Multiply the rate of change of the error by a constant Kd- Reduce the magnitude of the overshoot produced by the integral term- Is sensitive to noise in the error term

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PID CONTROL

Why using PID control?

Proportional term shows “PRESENT”Integral term shows “PAST”

Derivative term shows “FUTURE”

So

“PRESENT” + “PAST” + “FUTURE”

P Characteristics

Larger value yields faster response

Too large value yields instability and oscialla-tions

I Characteristics

Larger value eliminates steady-state erros quickly

Too large value yields overshooting

D Characteristics

Larger value reduces overshoot but gives slow reponse and is sensitive to noise

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FEEDBACK RESPONSE

Parameters

Overshoot- Maximum error between input and output- Percent overshoot = (Maximum overshoot / Desired value) x 100%

Time delay (Td)- Initial time response until 50% of the output

Rise time (Tr)- Time response between 10% to 90% of the output

Settle time (Ts)- Initial time until the oscillation is within 5%

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PID CONTROL LABORATORYObjectives

1. To understand how a closed loop system works2. To understand how a PID controller works3. To understand the behaviors of each term (P, I, and D)4. To understand the relationship among the terms (P + I, P + D, I + D, P + I + D)

Tasks

Week 1You are required to design a closed loop system (PID) to control the po-sition of the given servo motor.

Week 2You are required to carry out an experiment of your closed loop sys-tem design. The laboratory report must be written and submitted to [email protected] before week 3.

Week 3You are required to take the laboratory oral exam and your laboratory report will be commented.

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LABORATORY EQUIPMENTS

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LABORATORY EQUIPMENTS

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LABORATORY EQUIPMENTS

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LABORATORY EQUIPMENTS

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LABORATORY EQUIPMENTS

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LABORATORY EQUIPMENTS

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LABORATORY EQUIPMENTS

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REFERENCES

1. PID Controller. Wikipedia.

2. CONTROL SYSTEMS, ROBOTICS, AND AUTOMATION - Vol. II - PID Control - Araki M.

3. http://www.mstarlabs.com/docs/tn031.html