PID Tuner
Apply the latest insights in control engineering by a click of a button
8.7/10 (31 Ratings)
Using the PID Tuner, you can apply the latest insights in control engineering to your industrial environment by the click of a button. PID controllers in any software and hardware environment (e.g. Siemens, Allen Bradley, Omron, Arduino,...) can be optimally tuned with the PID Tuner.
The PID Tuner tunes a PID controller based on a model. This model is obtained from actual data of your machine/system that is controlled by that same PID controller. The procedure to obtain such a model is refered to as identification.
The PID Tuner tunes a PID controller based on a model. This model is obtained from actual data of your machine/system that is controlled by that same PID controller. The procedure to obtain such a model is refered to as identification.
Watch the video to see how it works
Features
Supports both on-line and off-line mode. Comes with extensive data logging options
In on-line mode, the data is obtained in real-time through OPC communication. These data are automatically stored in a local database. Optionally, you can log the data to text files, or to an Azure IoT Hub (a cloud database).In off-line mode, you can import data from files (csv format).
Offline mode
Import .csv files
In the offline mode .csv files can be imported. We require one column for time, one for the PID output (MV), one for the controlled variable (PV) and one for the setpoint (SP).
Online Mode
Connect in realtime using OPC DA
If you have an OPC server running, the PID tuner can directly connect to it. You can select the tags for PV, MV and SP and their values will be logged automatically to an SQLite database. Also you can perform experiments in realtime. The PID Tuner comes with an OPC server for Arduinos, but not for other brands.Data logging options
Log to text files and/or stream data to the cloud for remote monitoring
Once connected to the PLC via OPC, the PLC tags can be stored in text files, or streamed to an Azure IoT Hub (cloud). Once the data is in the cloud, each PID loop can be monitored on health from a distance, while you can get notified if there is an issue, by email. Contact us for more details.Extensive Model Identification Options
The PID tuning requires a System Model, and this model is usually obtained from data (model identification). The PID Tuner does not only support identification of the FOTD model, but also SOTD model.
FOTD Model
First-order-time-delay model
For most process models this is the prefered model. If needed, our models can capture MIMO dynamics as well. Identify the model by simply pushing a button. Watch the match between the model and data in the interacctive display. Our robust algorithms adjust the model parameters automatically to create the best fit to data. Alternatively, type in model parameter values yourself.
SOTD Model
Second-order-time-delay model
In some cases you need a Second Order Time Delay model. For instance, to capture badly damped dynamics. If needed, our models can capture MIMO dynamics as well. And last but not least, you can import any linear model directly from file.Supports tuning of all PID types
Supports all PID types, among which DeltaV, Siemens, Omron, Rockwell , Yokogawa. Different vendors use different PID types. Therefore, we included all options: the parallel form, direct form, proportional band format and setpoint weight parameters. Scaling parameters, often not published, are found by automatic fitting.The PID Tuner supports tuning not only the P, I and D constants but also setpoint weighting,
Select your PID type
Support for most PID types
The PID Tuner allows you to select the PID type used by your vendor. We support the standard, series, interacting, parallel, and ideal form.
Prevent overshoot
Tune setpoint weights
Most vendors include the option to apply setpoint weighting, and settings these right avoids overshoots after a setpoint change. The PID Tuner allows you to quickly find the optimal setpoint weights.
Select one of 3 tuning methods
Multiple tuning methods
Choose one of three proven tuning methods: (1) SIMC, (2) FDRC, or (3) global minimisation of the variance. Each method has its own merits, and you learn quickly which, by just clicking them.Download the software and/or request a quote
Note:- You must select at least one option in the left pane
- You must use a company email address
- If you want a quote: say so in the message box.
- If you want a 7 day trial version: first download the demo and install the software, start the demo and copy the MACC address that appears. Then send us a message saying you want a trial, with a copy of your MAC address.
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Installation Instructions
For installing the demo: just install the software and it should work. For using the software with a license file: go to Help-> import license file. There is a manual under Help.
FAQ
Question : When I try to install the PID Tuner, I get this warning "Windows protected your PC..... What should I do?Answer: click “More info”. Then, a button “Run anyway” will appear, click that to continue the installation.
Requirements
- PC with Windows 7 or higher, at least 8GB RAM memory.
- For online use: OPC DA server suitable for your controller
- For offline use: data logger. You need data of PID inputs and output
Support
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