

Control output saturation adds a nonlinear element to the system and causes incorrect results. The algorithm assumes that the controlled system is first-order with a dead-time.Īnother problem is control output saturation at the output high and output low limits during autotuning (specified by the output range input to the function). If the system model is too complex or nonlinear the autotune may not work as expected. For more information about how this VI works, refer to the LabVIEW PID and Fuzzy Logic Toolkit API Reference and the PID Autotuning VI Help page. This will allow the controller to respond to changes and tune the system for an acceptable response. The autotuning procedure is excited by the setpoint relay which steps the setpoint up or down. The diagram below outlines the process used by the PID Autotuning VI: This is a heuristic method that will iterate the PID values until the system has reached a tuned state.


If the autotuning did not set any change in the PID gains, the PID gains out values will be the same as the PID gains input.Īdditional InformationThe PID Autotuning VI uses the Ziegler-Nichols tuning method. Once the autotuning is complete, the function will output better PID values if the algorithm was able to find any. When the PID Autotuning VI runs, it will excite your controller and force it to adapt to the changes in your process variable. You'll also need to provide starting PID values, output limits, a setpoint, and a process variable. PV Noise Level - Estimate the noise level that will be included in the process variable.

Keep in mind that faster response will result in higher overshoot which may not be desirable.
