This 4-1/2 day course introduces students to the advanced control tools available within DeltaV and how they may be used to improve plant  operations. The principal technology that is utilized in each product will be discussed. The areas of improvement that may be achieved will be detailed. Also, each student will gain hands on experience with these tools in class exercises based on realistic process simulations.

Courses 7101, PlantWeb^®/DeltaV Intro. or 7009, DeltaV Implementation I or equivalent field experience.

Topics

• The Control Foundation in DeltaV
  - Traditional tools e.g. override, cascade, ratio
  - Improvements provided by advanced control
• DeltaV Inspect
  - Detection of Abnormal Conditions
  - Variability index, utilization
• DeltaV Tune
  - Tuning response, robustness
  - Expert options e.g. Lambda, IMC

• DeltaV Fuzzy
  - Principals of fuzzy logic control
  - FLC function block, Tuning
• DeltaV Neural
  - Creation of virtual sensor
  - Data screening, training
• DeltaV Predict
  - MPC for multi-variable control
  - Model identification, data screening
  - Simulation of response, tuning
• DeltaV Simulate
  - Operator training and engineering
  - Using High fidelity process simulation
• DeltaV Optimization
  - Real time optimization
  - Example applications

Cost:  Call to discuss