APC 200 – Advanced Process Control, PID Tuning and Beyond
Duration: 3 Days Classroom or 21 hours Online
Audience: Process Control Engineers, Advanced Process Control (APC) Engineers, Instrument Engineers, Lab Technicians, DCS/PLC Technicians, Managers and Supervisors.
Prerequisites: PID100, 2-year or 4-year degree in engineering or operations. A few months of plant/ engineering experience is desirable, but not required.
Course Material: Advanced Process Control (APC) Software Products used in Course – Pitops, Simcet and Training Slides.
The DCS and PLC have many powerful features that still remain under-utilized. This course shows you how to tune PIDs and build powerful optimizing controllers inside the DCS or PLC. During the course, we use several industrial process control software products – Pitops, Simcet, Process Control CBT and ACSSI.
The course assumes that attendees have completed PID100 course (PID100 is a prerequisite for this Advanced Process Control (APC) APC200 course).
Attendees use real time-series plant data and identify multivariable closed-loop/open-loop dynamics.
Then they build various Advanced Process Control (APC) schemes all inside Pitops software – cascade, constraint override, maximizing and minimizing constraint controllers, selectors, model-based controllers, dead-time compensators and many others.
This course is designed more for engineers but also will offer tremendous value to operators, technicians and supervisors. PiControl software products used in this course are so very easy to use that the course can be comfortably followed by even new and inexperienced technicians. This course also covers advanced functions of PID controllers in more detail.
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At the end of the course, attendees will be able to study a process and its P&IDs and talk to the right people in the plant or control room and then design and build powerful controllers in the DCS/PLC.
Attendees will become skilled in PID tuning, feedforward implementation, and parameter specification for all types of controllers in the DCS/PLC.
Further, using scientific process control methods and software products they will be able to calculate tuning and other DCS parameters precisely, thus eliminating guesswork and generating precise, optimized control action.
The course also trains attendees how to be careful while activating and commissioning new control schemes, avoiding mistakes and starting up a control chain in the right sequence.
This course is all you will ever need to use the full potential of the DCS or PLC and build powerful Advanced Process Control (APC) controllers to stabilize plant operation, push against economic, market, process and equipment constraints.
Attendees will also learn when to use traditional Advanced Process Control (APC) and when to use multivariable model predictive control, a very practical and useful skill.
- Process Control Hierarchy
- Advanced Process Control (APC) Options and Strategies
- Need for Automatic Process Control
- Benefits of Process Control and Advanced Process Control (APC)
- How to Maximize Throughput and Minimize Utilities using Advanced Process Control (APC)
- Feedforward Control Theory and Calculations
- Feedforward Lab Session using Pitops
- Decoupler Strategies
- Advanced Cascade Control
- Cascade Control Lab Session Illustrating an AC-TC Triple Cascade
- Cascade Control Tuning Guidelines
- Constraint Override Selector Control Procedures and Calculations
- How to build correct DCS Configuration for Long Chain Control Schemes
- Startup and Chain Activation Procedures in the DCS
- Practical Rules and Tips for PID and Advanced Process Control (APC) Schemes
- Model-based Control
- Bias Update for Automatic Control
- Closed-Loop Dynamics
- GC-based Online Correction, PV Sample Hold
- Using Rigorous Models for Closed-Loop Advanced Process Control (APC) with PID Integration
- Dead-Time Compensation
- Internal Model-Based Control and 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
- Continue Lab (Practical) Sessions on System Identification and Tuning Optimization
- Identification of SISO Closed-Loop Process Transfer Functions
- Multi-Input Closed-Loop Transfer Function Identification
- 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 data
- Use Pitops to identify multivariable transfer functions using real plant data in closed-loop mode
- Model-Predictive Control
- When to use PID, Cascade PID, Advanced Regulatory Process Control (ARPC), DMC, RMPCT, Rule-Based Control
- Identifying, Debugging and Troubleshooting PID Tuning and Process Control Problems
- Online PID/Advanced Process Control (APC) Quality Monitoring and Reporting
- Online Oscillation Detection and Online Control Sluggishness Detection
- PID Control Quality Alerting to Smartphones for Improved Proactive Maintenance