Table Of Contents
PID Design (Internal Model Control) (G Dataflow)
Estimates the response using the internal model control.
.gvi.png)
desired time constant
Time constant value at which you want the system to perform after you close the loop.
This node uses this input to adjust PID gains according to the internal model control method and as appropriate for a first-order model with delay.
Default: 0
type of controller
Parameters to return as PID gains.
| Name | Value | Description |
|---|---|---|
| P | 0 | Returns only the proportional parameters. |
| PI | 1 | Returns the proportional and integral parameters. |
| PID | 2 | Returns the proportional, integral, and derivative parameters. |
Default: P
stimulus signal
Stimulus signal for the system.
response signal
Response signal of the system.
closed-loop?
controller gain
Initial value for the controller gain.
This node uses this input to calculate integral of PID gains.
Default: 0
dt
Loop-cycle time or interval, in seconds, at which this node is called.
dt must be greater than zero.
Default: 0
PID gains
Proportional gain, integral gain, derivative gain, and filter coefficient parameters of the controller.
This output can return a cluster or an array of clusters.
proportional
Proportional gain of the controller.
integral
Integral gain of the controller.
derivative
Derivative gain of the controller.
filter coefficient [a]
Derivative lowpass filter coefficient of the controller.
stimulus operating point
Stimulus offset for the plant.
response operating point
Response offset for the plant.
plant parameters
Gain, time constant, and dead time of the plant.
Plant Gain (K)
Process gain (K).
Time Constant (T)
Time constant (T), in seconds.
Dead Time (L)
Dead time (L), in seconds.
Where This Node Can Run:
Desktop OS: Windows
FPGA: This product does not support FPGA devices
Web Server: Not supported in VIs that run in a web application