Pid Controller Auto Tuning Software

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PID auto tuning software that works amazingly reliably for fast and slow processes solving control instability or sluggishness automatically. Learn More Demo with your OWN data. Using the PID Tuner, you can apply the latest insights in control engineering to your industrial environment with the click of a button. PID controllers in any software and hardware environment (Siemens, Allen Bradley, Omron, Arduino, etc.) can be optimally tuned with the PID Tuner. Principles of PID Control and Tuning Control of temperature, humidity, pressure, flow rate, level or Ph process variables Eurotherm controllers will automatically control process variables such as temperature, humidity, pressure, flow rate, level or Ph – in fact, almost any physical variable that can be represented as an analogue signal.

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This example shows how to automatically tune a PID Controller block using PID Tuner. Adobe acrobat 8 updates for mac os catalina 2017.

Introduction of the PID Tuner

To help correct loop quality problems, INTUNE+ software includes INTUNE PID Tuning Tools with auto tuning, heuristic-based adaptive tuning, offline data tuning, and offline model-based tuning. Also included is a PID comparison tool, along with a variety of online and offline process and PID simulation features.

PID Tuner provides a fast and widely applicable single-loop PID tuning method for the Simulink® PID Controller blocks. With this method, you can tune PID controller parameters to achieve a robust design with the desired response time.

A typical design workflow with the PID Tuner involves the following tasks:

(1) Launch the PID Tuner. When launching, the software automatically computes a linear plant model from the Simulink model and designs an initial controller.

(2) Tune the controller in the PID Tuner by manually adjusting design criteria in two design modes. The tuner computes PID parameters that robustly stabilize the system.

(3) Export the parameters of the designed controller back to the PID Controller block and verify controller performance in Simulink.

Open the Model

Open the engine speed control model with PID Controller block and take a few moments to explore it.

Design Overview

In this example, you design a PI controller in an engine speed control loop. The goal of the design is to track the reference signal from a Simulink step block scdspeedctrlpidblock/Speed Reference. The design requirement are:

  • Settling time under 5 seconds

  • Zero steady-state error to the step reference input.

Which auto-tune do i use for my macbook pro 2017. In this example, you stabilize the feedback loop and achieve good reference tracking performance by designing the PI controller scdspeedctrl/PID Controller in the PID Tuner.

Open PID Tuner

To launch the PID Tuner, double-click the PID Controller block to open its block dialog. In the Main tab, click Tune.

Initial PID Design

When the PID Tuner launches, the software computes a linearized plant model seen by the controller. The software automatically identifies the plant input and output, and uses the current operating point for the linearization. The plant can have any order and can have time delays.

The PID Tuner computes an initial PI controller to achieve a reasonable tradeoff between performance and robustness. By default, step reference tracking performance displays in the plot.

The following figure shows the PID Tuner dialog with the initial design:

Display PID Parameters

Click Show parameters to view controller parameters P and I, and a set of performance and robustness measurements. In this example, the initial PI controller design gives a settling time of 2 seconds, which meets the requirement.

Adjust PID Design in PID Tuner

The overshoot of the reference tracking response is about 7.5 percent. Since we still have some room before reaching the settling time limit, you could reduce the overshoot by increasing the response time. Move the response time slider to the left to increase the closed loop response time. Notice that when you adjust response time, the response plot and the controller parameters and performance measurements update.

The following figure shows an adjusted PID design with an overshoot of zero and a settling time of 4 seconds. The designed controller effectively becomes an integral-only controller.

Complete PID Design with Performance Trade-Off

In order to achieve zero overshoot while reducing the settling time below 2 seconds, you need to take advantage of both sliders. You need to make control response faster to reduce the settling time and increase the robustness to reduce the overshoot. For example, you can reduce the response time from 3.4 to 1.5 seconds and increase robustness from 0.6 to 0.72.

Pid Controller Auto Tuning Software

The following figure shows the closed-loop response with these settings:

Write Tuned Parameters to PID Controller Block

After you are happy with the controller performance on the linear plant model, you can test the design on the nonlinear model. To do this, click Update Block in the PID Tuner. This action writes the parameters back to the PID Controller block in the Simulink model.

The following figure shows the updated PID Controller block dialog:

Completed Design

The following figure shows the response of the closed-loop system:

The response shows that the new controller meets all the design requirements.

You can also use the Control System Designer to design the PID Controller block, when the PID Controller block belongs to a multi-loop design task. See the example Single Loop Feedback/Prefilter Compensator Design.

See Also

Related Topics

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.

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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.

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.

Pid Controller Auto-tuning Software

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.