Training Information

APC100: PID Tuning Certification and Practical Process Control Fundamentals and for Technicians, Operators, Engineers
 

Duration: 2 days
Locations: Houston , TX
Audience: DCS technicians, Instrument Engineers, Plant Operators, Process Engineers and Process Control Engineers.
Prerequisites: Some control room experience as engineer, operator or technician is preferred, but not required.
 

Introduction to Chemical Process Control
Need for Automatic Process Control
Process Control Dynamics
Basic PID algorithm
PID examples in Time Domain
Cascade Control
Tuning lab sessions using Pitops Simulator
Simulating Noise and Process Disturbances
Various Forms of PID Algorithms
DCS Attributes and Features
Optimal Tuning Theory and Calculations
Optimal Tuning on Pitops Simulator with Disturbances, Noise and Setpoint Changes
Five lab sessions using Pitops simulator
 

Transforming process operating information into Controller Tuning
Procedures for conducting Step Tests in the Plant
Estimating Process Dynamics from DCS Trends and Operator Knowledge
Feedforward Control
Model-Based Control
Industrial Examples
Introduction to Simcet Real-time dynamic simulator
Tuning Practice Sessions on Simcet
Timed tests using Simcet
Certification and Testing
 

Duration: 3 days
Locations: Houston , TX
Audience: Process Control Engineers, Advanced Process Control Engineers, Instrument Engineers, Lab Technicians, DCS/PLC Technicians, Managers, Supervisors
Prerequisites: 2-year or 4-year degree in engineering or operations. 6 months plant/ engineering experience recommended, but not required.
 

Introduction to Chemical Process Control
Need for Automatic Process Control
Process Control Dynamics
Transfer Functions
Basic PID algorithm
Process Control Schematics
PID examples in Time Domain
Cascade Control
Tuning lab sessions using Pitops Simulator
Simulating Noise and Process Disturbances
Various Forms of PID Algorithms
DCS Attributes and Features
Optimal Tuning Theory and Calculations
Optimal Tuning on Pitops Simulator with Disturbances, Noise and Setpoint Changes
Five lab sessions using Pitops simulator
 

Transforming process operating information into Controller Tuning
Procedures for conducting Step Tests in the Plant
Estimating Process Dynamics from DCS Trends and Operator Knowledge
Introduction to Simcet Real-time dynamic simulator
Tuning Practice Sessions on Simcet
Feedforward Control
Feedforward Lab Session using Pitops
Practical Rules and Tips
Decoupler Strategies
Cascade Control Lab Session Illustrating an AC-TC Triple Cascade
Constraint Override Control Procedures
How to build correct DCS Configuration for Long Chain Control Schemes
Startup and Chain Activation Procedures in the DCS
 

Model-based Control
Bias Update for Automatic Control
GC-based Online Correction
Using Rigorous Models for Closed-Loop Advanced Control
Dead-Time Compensation
Internal Model-Based Control
Lab Session Internal Model-Based Control
Identifying Process Dynamics based on Operator Experience and Knowledge
Identifying Process Dynamics based on DCS Trends and Historical Data
Identifying Process Dynamics based on analyzing actual Time-Sampled Data
Lab Session using Pitops to identify first and second order transfer functions using real plant example
Lab Session using Pitops to identify multivariable transfer functions using real plant data with a closed-loop situation
Model-Predictive Control
When to use PID, Cascade PID, Advanced Regulatory, DMC, RMPCT, Rule-Based Control Schemes

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