ABB Ability™ Performance Optimization for control loop tuning

An enhancement to ABB Ability™ Performance Optimization for control loops

ABB Ability™ Performance Optimization for control loop tuning reduces the time between diagnosing potential PID control loop issues and tuning the loops to address the issue.

It uses control data already gathered, analyzed and stored to quickly identify issues, so that corrective tuning can take place to ensure full utilization of the control system and availability of the production process.

It gives process engineers the ability to create accurate models to predict events, so they can reduce or eliminate potentially disruptive process bump tests in control loop tuning.

Overview
Tools

Benefits

  • Eliminates need for time-consuming bump tests
  • Increases control system utilization
  • Helps reduce off-spec production
  • Reduces maintenance costs
  • Helps identify issues faster 

Features

  • Link between Loop Performance Service and Control Tuning Workbench Tool
  • Secure, remote diagnosis and proactive support from ABB experts
  • Historic loop data used to calculate potential issues
  • Fully integrated with ABB Performance Services
Download Whitepaper

Quickly diagnose control loop issues using existing data

The ABB Ability™ Performance Optimization for control loop tuning draws on data previously collected by the  ABB Ability™ Performance Optimization for control loops and uses this data as a basis for process modeling. Customer and/or ABB engineers use this data to create process models that greatly reduce the time and effort needed to identify and address control loop issues.

Data customized for your plant

The data that Performance Optimization for control loop tuning employs has already been automatically gathered and classified based on specific Key Performance Indicators (KPIs) utilized by Performance Optimization for control loops.

This data is used to identify issues that are then automatically prioritized based on severity, process area, criticality and/or financial impact. Issues are isolated, and disturbance sources, such as dead time, inverse response and outliers, are identified. This analysis helps find the root cause of issues, and trend performance history more accurately, leading to information that can be used by customer or ABB engineers to improve control loop tuning.

Expert analysis helps predict potential failures

With Performance Optimization for control loop tuning engineers can model and perform tune testing using LoopTune, an ABB Workbench Tool. LoopTune is a stand-alone software package that is integrated with ABB ServicePort and based on proprietary algorithms.  For qualified users, LoopTune enables effective data analysis and control tuning.

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