D/3 Loop Optimizer

D/3 Loop Optimizer

Intuitive Loop Tuning for the D/3 DCS

D/3® Loop Optimizer (powered by Control Station) provides a highly intuitive and effective platform for all PID loop tuning on a D/3 system. It solves common problems associated with tuning PID control loops and allows users to model, analyze, and tune PID control loops quickly, accurately, and consistently.  It’s like having your most experienced loop tuning operator on duty 24 hours a day.

Properly tuned PID control loops are fundamental to the success of any well managed process control strategy. Loops must be properly tuned in order to minimize energy usage, maximize product quality, and improve corporate profits. When a plant has hundreds of PID loops, time is not always available during hectic startups or plant expansions, and many loops are not tuned optimally, and the dynamics associated with typical PID control loops can change over time. The wear and tear on instrumentation and other production-related assets can negatively affect PID loop performance, and adjustments to a product’s specifications may result in new process dynamics and could present variations in typical PID loop performance.

D/3 Loop Optimizer is so intuitive that lesser-skilled users can now tune loops as quickly and effectively as those with many more years of experience in PID loop tuning. D/3 Loop Optimizer employs patent-pending process modeling algorithms that enable users to accurately model non-steady state or noisy process data. Users then analyze and adjust tuning parameters via highly-intuitive, wizard-like display screens.

The software allows each user to model and tune various aspects of a process operation and determine optimal tuning parameters for each. For example, a user could easily generate optimal tuning parameters for a reactor at startup, steady state, or shutdown phases. Furthermore, D/3 Loop Optimizer provides tuning capability for multiple simultaneous users from any D/3 ConsoleKey Benefits

  • No setup required at run time
  • Less skill required to tune loops
  • Significant time savings when tuning
  • Accurately model non-steady state data
  • Tolerant to noisy data
  • Easily perform What-if experiments
  • Save parameters to PCM and UDB
  • Intuitive wizard based tuning process
  • Comprehensive Documentation

Features

Patent-Pending Non-Steady State Modeling

Equipped with Control Station’s patent-pending Non-Steady State (NSS) Modeling Innovation, D/3 Loop Optimizer is uniquely suited to analyze non-steady state process data collected directly from the D/3 and to provide superior PID controller tuning parameters by:

  • Segmenting of process data that are associated with any/all experiments performed (i.e. bump tests).
  • Centering the process model over the entire range of process data under review.

Customizable Controller Performance

The adjustable Closed-Loop Time Constant allows users to tailor a controller’s performance. Users can achieve control characteristics from Conservative to Aggressive via the intuitive slider bar control.

Comparative Statistics and Stability Analysis

D/3 Loop Optimizer enhances accuracy and understanding by providing dynamic stability analysis. Tabular statistics and graphical performance charts reveal the relative improvement to the selected control strategy:

  • Displays performance statistics such as: Settling Time, Percent Overshoot, Decay Ratio and Controller Output Travel.
  • Advanced robustness analysis algorithms are used to calculate process stability.

Simulated Controller Response

Dynamic simulation of the PID controller’s response curve permits users to evaluate proposed tuning parameters before implementing them in the PCM. In particular, users benefit from the display of:

  • Side-by-side comparison of existing vs. proposed tuning parameters.
  • Optional controller settings, including P-only, PI, PID, and PID with Filter.

Documentation and Reporting

D/3 Loop Optimizer provides comprehensive documentation of the decision-making process and presents appropriate information in an easy-to-follow report. Each report includes:

  • Process data used
  • Associated model fit
  • Simulated PID response
  • Performance statistics
  • Related stability analysis
  • Model parameters
  • Related data properties
  • Controller scaling values