Most process controllers sold today incorporate auto-tuning functions. Operating details vary between manufacturers but all follow rules similar to those described above. Essentially, the controller “learns” how the process responds to a disturbance or change in set point, and calculates appropriate PID settings. “In implementing the PID Tuning Blueprint, I was able to uncover instability in the glycol cooling loop. The company was impressed by how the PID Tuning Blueprint was able to be used as such an effective tool in identifying deficiencies in the glycol control loop, at a fraction of the cost of software such as RSTune ” Terry King Gay Lea Foods.
Some Simulink blocks, such as those with sharpdiscontinuities, can produce poor linearization results. For example,when your model operates in a region away from the point of discontinuity,the linearization of the block is zero.
If you cannot find a good design using PID Tuner, try a different PID controller type. If no PID controller is satisfactory, consider designing a more complex controller.
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When you run your Simulink model using the PIDgains computed by PID Tuner, the simulation output can differ fromthe PID Tuner response plot.
When you run your Simulink model using the PIDgains computed by PID Tuner, the simulation output may not meet yourdesign requirements.
If controller performance deteriorates when you discretizea tuned continuous-time PID controller, consider tuning a discrete-timecontroller directly.
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When you use PID Tuner to design a controller, theresulting derivative gain can have a different sign from the integralgain. PID Tuner always returns a stable controller, even if one ormore gains are negative.