Audience
Companies that need a quality and performance monitoring software
About Apromon
Apromon is an online software product for monitoring the PID loop control performance of primary and Advanced Process Control (APC) loops. Apromon evaluates single loops, cascade loops, any Advanced Process Control (APC) loops and even signals that have PV only but no controller associated with them. Apromon has the unique power to automatically convert flow controllers, pressure controllers, temperature controllers, level controllers, online analysis controllers, and any Advanced Process Control (APC) controller into a single “grade” factor, just like the grade given by a professor to a student on a test or an examination. 100 indicates the best performance and 0 indicates the worst. Runs automatically every set period so that performance is always being calculated and archived. Runs all the time, and does not skip any period for any tag like some competitor products.
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Reins
Reins is a global mobility payments and orchestration platform powering end-to-end payment programs across fuel, EV charging, parking, and tolls.
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Model Predictive Control Toolbox
Model Predictive Control Toolbox™ provides functions, an app, Simulink® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can implement single- and multi-stage nonlinear MPC. The toolbox provides deployable optimization solvers and also enables you to use a custom solver. You can evaluate controller performance in MATLAB® and Simulink by running closed-loop simulations. For automated driving, you can also use the provided MISRA C®- and ISO 26262-compliant blocks and examples to quickly get started with lane keep assist, path planning, path following, and adaptive cruise control applications. Design implicit, gain-scheduled, and adaptive MPC controllers that solve a quadratic programming (QP) problem. Generate an explicit MPC controller from an implicit design. Use discrete control set MPC for mixed-integer QP problems.
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COLUMBO
Closed-loop universal multivariable optimizer for Model Predictive Control (MPC) performance and Model Predictive Control (MPC) quality improvements. Use data in Excel files from DMC (Dynamic Matrix Control) from Aspen Tech, or from RMPCT (Robust Model Predictive Control Technology) from Honeywell, or Predict Pro from Emerson and use it to generate and improve correct models for the various MV-CV pairs. Amazing new optimization technology does not need step tests as required by Aspen tech, Honeywell, and others. It Works entirely in the time domain, is easy to use, compact, and practical. Model Predictive Controls (MPC) can have 10s or 100s of dynamic models. One or more could be wrong. Bad (wrong) Model Predictive Control (MPC) dynamic models produce a bias (model prediction error) between the predicted signal and the measured signal coming from the sensor. COLUMBO will help you to improve Model Predictive Control (MPC) models with either open-loop or completely closed-loop data.
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Integrations
No integrations listed.
Company Information
PiControl Solutions
Founded: 1992
United States
www.picontrolsolutions.com/products/apromon/
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Product Details
Platforms Supported
Windows
Training
Documentation
Live Online
Videos
Support
Phone Support
Online
