SLYY211 October 2021 TMS320F2800132 , TMS320F2800133 , TMS320F2800135 , TMS320F2800137 , TMS320F2800152-Q1 , TMS320F2800153-Q1 , TMS320F2800154-Q1 , TMS320F2800155 , TMS320F2800155-Q1 , TMS320F2800156-Q1 , TMS320F2800157 , TMS320F2800157-Q1 , TMS320F280021 , TMS320F280021-Q1 , TMS320F280023 , TMS320F280023-Q1 , TMS320F280023C , TMS320F280025 , TMS320F280025-Q1 , TMS320F280025C , TMS320F280025C-Q1 , TMS320F280033 , TMS320F280034 , TMS320F280034-Q1 , TMS320F280036-Q1 , TMS320F280036C-Q1 , TMS320F280037 , TMS320F280037-Q1 , TMS320F280037C , TMS320F280037C-Q1 , TMS320F280038-Q1 , TMS320F280038C-Q1 , TMS320F280039 , TMS320F280039-Q1 , TMS320F280039C , TMS320F280039C-Q1 , TMS320F280040-Q1 , TMS320F280040C-Q1 , TMS320F280041 , TMS320F280041-Q1 , TMS320F280041C , TMS320F280041C-Q1 , TMS320F280045 , TMS320F280048-Q1 , TMS320F280048C-Q1 , TMS320F280049 , TMS320F280049-Q1 , TMS320F280049C , TMS320F280049C-Q1 , TMS320F28075 , TMS320F28075-Q1 , TMS320F28076 , TMS320F28374D , TMS320F28374S , TMS320F28375D , TMS320F28375S , TMS320F28375S-Q1 , TMS320F28376D , TMS320F28376S , TMS320F28377D , TMS320F28377D-EP , TMS320F28377D-Q1 , TMS320F28377S , TMS320F28377S-Q1 , TMS320F28378D , TMS320F28378S , TMS320F28379D , TMS320F28379D-Q1 , TMS320F28379S
Linear Proportional Integral Derivative (PID) controllers calculate an error value, e(t), based on the set point and the process variable, and apply a correction based on a proportional, integral, and derivative term. A PID controller is a particular case of a 2P2Z controller, where A1 = -1 and A2 = 0.
Term | Description | Component |
---|---|---|
Proportional | The proportional component depends only on the difference between the setpoint and the process variable | |
Integral | The integral component sums the error term over time, giving a complete controller error history up to the present time. This effectively causes an increase over time unless the error is zero, so the effect is to drive the steady-state error to zero. | |
Derivative | The differential component causes the output to decrease if the process variable is increasing rapidly. The derivative response is proportional to the rate of change of the process variable. |
Proportional:
Where
= error value
= proportional gain
= integral gain
= derivative gain
Parallel Linear PID
Where
r = input
y = feedback
e = error
u = output
= proportional gain
= integral gain
= derivative gain
Series Linear PID
Where
e = error
u = output
= proportional gain
= integral gain
= derivative gain
PID equation
Control law for PID
Where
= proportional gain
= integral gain
= derivative gain