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 data should not just be ordinary data, but data obtained during a so-called identification experiment. Below, we explain the steps in the DotX PID Tuner that one usually will have to go through:
Step 1. connect the PID Tuner on-line, or switch on some data logger to use the PID Tuner later in off-line mode
Step 2. while the loop is active, perform a setpoint bump test, or gather data while setpoint is changed by a master loop. If possible, perform an open loop bump test as well
Step 3. Identify a model from the experimental data obtained in step 2
Step 4. Select the PID type and the 'old' PID settings and determine the scaling
Step 5. Tune the PID, simulate, and check in an instance how it compares to the old PID settings
Supports both on-line and off-line mode. Comes with extensive data logging optionsIn 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).
Import .csv filesIn 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).
Connect in realtime using OPC DAIf 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 monitoringOnce 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 OptionsThe 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.
First-order-time-delay modelFor 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.
Second-order-time-delay modelIn 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 typesSupports 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 typesThe PID Tuner allows you to select the PID type used by your vendor. We support the standard, series, interacting, parallel, and ideal form.
Tune setpoint weightsMost 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 methodsChoose 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 quoteTo download the demo: click in the left pane on "Download Demo (Free)", fill in the right pane, and click on "Download the Demo". Please fill in the message box if you would like a quote, or a 7 days trial. The trial will allow you to run your own data.
Please note that if you have purchased an older version, this older version may not work if you overwrite it by the Demo version. If your purchase was within 1 year, mail us for a new (free) license file.
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FAQQuestion : 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.