Industrial Advanced Process Control Design And Optimization
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.37 GB | Duration: 13h 5m

Utilize powerful features of the DCS and PLC

What you'll learn
Learn how to design and build powerful controllers in the DCS/PLC.
Learn PID tuning, feedforward implementation, and parameter specification for all types of DCS/PLC controllers.
Learn how to precisely calculate tuning and other DCS parameters, eliminating guesswork and producing precise, optimized control action.
Learn how to be cautious when activating and commissioning new control schemes, avoiding errors, and initiating a control chain in the correct order.
Recognize when to utilize traditional advanced control and when to utilize multivariable model-predictive control.
Learn how to study a process and its P&IDs and confidently talk to the right people in the plant or control room.

Requirements
Course on Primary Process Control and Tuning that explains the fundamentals required for this Course. Course can be found on our Udemy profile.
2-year or 4-year degree in engineering or operations. A few months of plant/ engineering experience is desirable, but not required.

Description
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 APC200 course).Attendees use real time-series plant data and identify multivariable closed-loop/open-loop dynamics. Then they build various control 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.Learning outcomes: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 on 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 new controllers to stabilize plant operation and push against economic, market, process, and equipment constraints. Attendees will also learn when to use traditional advanced control and when to use multivariable model- predictive control, a very practical and useful skill. The following topics are covered in this course:Process Control HierarchyAdvanced Process Control (APC) Options and Strategies Need for Automatic Process ControlBenefits of Process ControlHow to Maximize Throughput and Minimize Utilities using APC Feedforward Control Theory and CalculationsFeedforward Lab Session using Pitops Decoupler StrategiesAdvanced Cascade ControlCascade Control Lab Session Illustrating an AC-TC Triple Cascade Cascade Control Tuning GuidelinesConstraint Override Selector Control Procedures and CalculationsHow to build correct DCS Configuration for Long Chain Control Schemes Startup and Chain Activation Procedures in the DCSPractical Rules and Tips for PID and APC SchemesModel-based ControlBias Update for Automatic Control Closed-Loop DynamicsGC-based Online Correction, PV Sample HoldUsing Rigorous Models for Closed-Loop Advanced Control with PID Integration Dead-Time CompensationInternal 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 DataContinue Lab (Practical) Sessions on System Identification and Tuning OptimizationIdentification of SISO Closed-Loop Process Transfer Functions Multi-Input Closed-Loop Transfer Function IdentificationIdentifying Process Dynamics based on analyzing actual Time-Sampled DataLab 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 ControlWhen to use PID, Cascade PID, Advanced Regulatory, DMC, RMPCT, Rule-Based Control Identifying, Debugging, and Troubleshooting PID Tuning and Process Control Problems Online PID/APC Control Quality Monitoring and ReportingOnline Oscillation Detection and Online Control Sluggishness DetectionPID Control Quality Alerting to Smartphones for Improved Proactive Maintenance

Overview

Section 1: Introduction to Advanced Process Control

Lecture 1 Need and Benefits of Advanced Process Control

Section 2: Primary Process Control and PID Tuning Terminology Review

Lecture 2 Primary Process Control and PID Control Terminology

Section 3: Transfer Functions

Lecture 3 Transfer Functions - Advanced Concepts

Section 4: Nonlinear Processes and Adaptive Control

Lecture 4 Nonlinear Processes and Adaptive Contol

Section 5: Cascade Control Design

Lecture 5 Cascade PID

Lecture 6 PID Modes: Manual, Auto, Cascade

Lecture 7 PV Tracking, Anti-reset Windup, PID Equations and more

Section 6: Identification of Process Dynamics and why it matters

Lecture 8 Identification of Process Dynamics

Section 7: Constraint Control Strategies using Override Selectors

Lecture 9 Constraint Control Strategies using Override Selectors

Section 8: Feedforward Control

Lecture 10 Feedback and Feedforward control differences and Transfer Funciton calculations

Lecture 11 Important factors of Feedforward Control

Section 9: Ratio Control

Lecture 12 Ratio Control

Section 10: Dead Time Compensation

Lecture 13 Dead Time Compensation and Internal Model Control

Section 11: Decouplers

Lecture 14 Decouplers

Section 12: Inferential and Model-Based Control

Lecture 15 Continuous and Discrete Signals

Lecture 16 Inferential and Model-Based Control

Section 13: Split-Range Control

Lecture 17 Split-Range PID Control

Section 14: Average Temperature Control

Lecture 18 Average Temperature Control and other average variables

Section 15: Tuning and Troubleshooting Illustrations

Lecture 19 PID Tuning troubleshooting

Process Control Engineers, Advanced Process Control Engineers and Instrument Engineers,Lab Technicians and DCS/PLC Technicians,Managers and Supervisors

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