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Controller Model Identification / PID Tuning

Most loops are still controlled with the PID algorithm, and it's still necessary to ensure that these are tuned properly. The Control Arts Model ID and PID Tuning package lets you efficiently obtain dynamic models of the process and quickly calculate the best PID parameters - all from a few simple plant tests.

Controller Model ID Features:

  • Fit low-order Laplace or z-transform models
  • Fit step-weight models
  • Cut bad data from anywhere in the data set
  • Apply non-linear transforms to inputs and/or outputs
  • Able to fit up to 20x20 systems
  • Extensive diagnostics to ensure model fidelity over the entire data set
  • Interaction and conditioning analysis to check for benefits of multivariable control
  • Low-pass and butterworth filter design

PID Tuning Features:

  • Applicable to a wide variety of DCS systems
  • Direct calculation of PID parameters from Laplace transfer function model
  • Ability to design and simulate both SISO and MIMO systems
  • Compare PID performance to model-based controllers
Drag and drop tags to configure the system, then specify the transform type (first order, underdamped, overdamped, inverse response, or integrating). The program will automatically fit all the models and disturbance model, and show the results in the continuous or discrete domain, or as a step-weight model.
Data sets sometimes contain bad data - either the point was on control, the measurment failed, or the process was hit by a large disturbance. The ControllerModelID package lets you graphically mark bad data, and the program will automatically identify around the bad data segments.
The first step to implementing a multivariable controller is to check whether it is needed and if it will work. A good check whether multivarable control is needed can be determined from RGA test - a standard test that indicates the coupling in the system. And it's also necessary to check the feasibility of the multivariable controller - the SVD test will indicate if the multivariable system will be too sensitive to model mismatch to control adequately (by any controller, either single or multi loop).
PID controller parameters are easily obtained once a model is fit. The PID controller design module directly calculates these parameters for a large variety of DCS types, and simulates the regulatory or servo response.

Price (includes one-year of support + maintenance upgrades):

Single User License: $700US

Site License: $2500US

Control Arts Inc. 2014