12_Process Control.indd

166
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Refining & Chemicals - 2014
IC
ENGINES
PROJECT
MANAGEMENT
MAINTENANCE
MANAGEMENT
SAFETY
ENVIRONMENT
OPERATION
PROCESS
CONTROL
INSPECTION CORROSION
ENERGY
& THERMAL
EQUIPMENT
Refining & Chemicals - 2014
www.ifptraining.com
ROTATING
EQUIPMENT
PETROLEUM
PRODUCTS
ANALYSIS
LUBRICANTS
Process Control
p. 169 to 171
167
PETROCHEMICALS
& CHEMICALS
REFINING
PROCESSES
REFINING
APPLIED CHEMICAL
ENGINEERING
NATURAL
GAS
DOWNSTREAM
ECONOMICS
FINANCE &
MANAGEMENT
PARIS ENERGY
HAPPENINGS
ENERGY ECONOMICS
& MARKETS
168
www.ifptraining.com
Refining & Chemicals - 2014
DOWNSTREAM
ECONOMICS
FINANCE &
MANAGEMENT
Developed with the assistance of AXENS - IFP Group Technologies
PURPOSE
WAYS AND MEANS
About 30% of the course devoted to
workshops using AXENS software tools.
MODEL IDENTIFICATION
REFINING
1d
Data pre-processing: noise elimination and concatenation of data sets.
Model building: identification techniques, validation and model reduction.
Dynamic model matrix assembly and export to controller.
Lab exercise: hands on tutorial and development of Gasoline Desulfurization Unit model
(GDU model).
DYNAMIC SIMULATION
APPLIED CHEMICAL
ENGINEERING
0.5 d
PID limitations and the need for advanced control.
Basics of multivariable predictive control.
Presentation of APC architecture and lab exercise toolbox: Axens S2 APC suite.
REFINING
PROCESSES
• To learn the fundamentals of
multivariable predictive control:
setting time, step response, prediction,
dynamic control and optimization.
• To use a software for dynamic model
identification, controller design, off-line
closed loop simulation, robust tuning.
• To experiment the design of an online application on a process unit.
• To enhance the skills required to specify,
execute and maintain an APC application.
INTRODUCTION TOPICS
PETROCHEMICALS
& CHEMICALS
LEARNING OBJECTIVES
AGENDA
1d
PETROLEUM
PRODUCTS
ANALYSIS
LUBRICANTS
Engineers, technicians and operation
supervisors involved in the design,
implementation and maintenance of
Advanced Predictive Control (APC) projects.
NATURAL
GAS
To provide an advanced, practical
knowledge of multivariable
predictive control.
AUDIENCE
PARIS ENERGY
HAPPENINGS
ENERGY ECONOMICS
& MARKETS
4 DAYS
Open-loop predictions for model validation.
Closed-loop control and robust tuning.
Introduction to on-line optimization: LP cost and external targets.
Lab exercise: hands on tutorial and development of simulation for control of GDU.
AUTOMATED STEP TEST
1d
APC PROJECT METHODOLOGY AND OVERVIEW OF ON-LINE TOOLS
0.5 d
IC
ENGINES
PROJECT
MANAGEMENT
MAINTENANCE
MANAGEMENT
SAFETY
ENVIRONMENT
OPERATION
PROCESS
CONTROL
Application build: configure.
Real time management: monitor.
Production interface: web access.
Maintenance: report.
ENERGY
& THERMAL
EQUIPMENT
Off-line sequence design, tuning and simulation.
On-line execution and follow-up.
Lab exercise: hands on tutorial and development of automated step test simulation for
GDU.
ROTATING
EQUIPMENT
ENGLISH: IR / MPC
Multivariable Predictive
Control
INSPECTION CORROSION
Process Control
COORDINATOR
Bruno Rossignol
In-house course
Refining & Chemicals - 2014
www.ifptraining.com
169
Instrumentation
& Process Control
Process Control
ENGLISH: IR / INPC
5 DAYS
PURPOSE
To provide an understanding of
instrumentation and control systems
and facilitate communication with
experts to specify, design, operate
and improve control systems.
AGENDA
CONTROL LOOP - ON/OFF LOOP
AUDIENCE
Engineers and technicians from process
industries (refining, chemical, nuclear
and pharmaceutical industries, …).
LEARNING OBJECTIVES
• To interpret a PID and recognize
control loops, automatisms and
safety instrumented functions.
• To recognize main types of sensors
and control valves, and understand
their working principle and failures.
• To tune a control loop.
WAYS AND MEANS
• Interactive course.
• Use of a process dynamic simulator.
0.5 d
Function, constitution, signal types.
Instrument tags and symbolization on PID. ISA standard.
Safety Instrumented Functions.
Application: PID interpretation.
SENSORS AND CONTROL VALVES
2.5 d
Sensors
Measure and detection of pressure, temperature, level, flow and weight.
Technologies and configuration parameters.
Selection criteria : process constraints, accuracy and availability.
Control valves
Technologies and working principle of control and on/off valves.
Specification parameters (Cv, trim characteristics, air failure, Leak class, …).
Failure modes.
Accessories (limit switches, solenoid valves, positioners…)
Applications:
Identification of material on pictures.
Simulation of a control valve on a dynamic simulator.
Case studies: ΔP flowmeter maintenance, handover of a control valve for maintenance.
DIGITAL CONTROL SYSTEMS AND PROGRAMMABLE LOGIC CONTROLLERS
0.5 d
Role, architecture and functions.
Systems operation: graphics, alarming, trends, ...
Safety Instrumented Systems.
PROCESS CONTROL - LOOP TUNING
1.5 d
Process identification.
Control strategies: split-Range, cascade, Feed Forward, Multivariable.
Tuning of a PID controller.
Non-linearity of process; controller operating point and loop hunting.
Application: loop tuning on dynamic simulator.
COORDINATOR
Bruno Rossignol
170
www.ifptraining.com
LANGUAGE
DATES
LOCATION
FEES
EN
Aug 18 - 22
Martigues
2,600 €
Refining & Chemicals - 2014
REGISTRATION CONTACT
RMA
[email protected]
4 DAYS
DOWNSTREAM
ECONOMICS
FINANCE &
MANAGEMENT
ENGLISH: IR / PRCONT
FRENCH: IR / CONTPRO
PURPOSE
NATURAL
GAS
AGENDA
• To take into account limits of
sensors and control valves.
• To use PID controller tuning
optimization methods.
• To identify mono variable PID control
limits and suggest alternatives.
• To understand basics of
multivariable control.
WAYS AND MEANS
• Interactive course.
• Use of a process dynamic simulator.
PROCESS IDENTIFICATION
APPLIED CHEMICAL
ENGINEERING
REFINING
0.25 d
Control variable, manipulated variables, disturbances.
Step test. Transfer function. Process mapping.
LIMIT OF PID CONTROL
1.25 d
Performance criteria of a control loop.
Proportional, Integral and Derivative actions effects.
Tuning methods and limitation in use.
Application: PID controllers tuning on a dynamic process simulator.
1d
ROTATING
EQUIPMENT
CONTROL STRUCTURES
REFINING
PROCESSES
LEARNING OBJECTIVES
PETROLEUM
PRODUCTS
ANALYSIS
LUBRICANTS
Engineers and technicians in charge
of controllers and continuous process
control systems configuration.
0.75 d
Sensors
Main technologies to measure pressure, temperature, level and flow.
Performance and impact on control.
Control valves
Valve technologies.
Key process specification parameters (Cv, characteristics, …).
Application: control valve study on simulator.
PETROCHEMICALS
& CHEMICALS
SENSORS AND CONTROL VALVES
AUDIENCE
Split-range, cascade, feed-forward.
SMITH predicator control.
Application: cascade controller tuning.
MULTIVARIABLE CONTROL
0.75 d
IC
ENGINES
PROJECT
MANAGEMENT
MAINTENANCE
MANAGEMENT
SAFETY
ENVIRONMENT
OPERATION
PROCESS
CONTROL
Basics of Mutivariable Control.
Architecture and implementation (Step Test, tools, …).
Application: decoupled controllers.
ENERGY
& THERMAL
EQUIPMENT
To optimize process control to improve
production quality and asset efficiency
(energy consumption, product losses, …).
PARIS ENERGY
HAPPENINGS
ENERGY ECONOMICS
& MARKETS
Advanced Process Control
INSPECTION CORROSION
Process Control
COORDINATOR
Bruno Rossignol
In-house course
Refining & Chemicals - 2014
www.ifptraining.com
171