control loop foundation overview
TRANSCRIPT
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Copyright © 2010 by ISA
Control Loop Foundation Batch and Continuous Processes
Terry Blevins Principal Technologist
Mark Nixon, Manager, Future Architecture
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Control Loop Foundation Short CourseIntroduction
Background – Historic Perspective
Measurement – Basic Transmitter Types, Limitations
Analyzers – Examples of On-line Analyzers
Final Elements – Valves and Variable Speed Drives
Field Wiring and Communications – Traditional, HART, FF , WirelessHART
Control Strategy Documentation – Plot Plan, Flow Sheet, P&ID, Loop Diagram
Operator Graphics and Metrics – Considerations in Display Design
Process Characterization – Identifying process dynamics and gain
Control Objectives
Single Loop Control – PID basics, selecting PID structure, action
Tuning and Loop Performance – Manual and automated tuning techniques
Multi-loop Control – Feedforward, Cascade, Override, Split-range
Model Predictive Control – Addressing Difficult Dynamics, Interactions
Process Modeling – Process simulation for Checkout/Training
Applications – Continuous, Batch, Combustion, Distillation
Accessing the book web Site
Open Discussions book drawing & Wrap-up
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Control Loop Foundation Short Course Short Course will provide a summary of
key points and examples from Control Loop Foundation
All workshops and application examples in the book are based on DeltaV control capability. This book is available at www.isa.org and this week at the ISA booth.
The application section is designed to show how control techniques may be combined to address more complex process requirements
The book web site may be accessed to perform the workshops and to obtain hands-on experience using application example. Copies of the modules and trends may be downloaded from the web site and imported into a DeltaV system.
A new class, Control Loop Foundation -Course 9025, Is available through the education department.
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Introduction
Control Loop Foundation address the concepts and
terminology that are needed to work in the field of process
control.
The material is presented in a manner that is independent of
the control system manufacturer.
Much of the material on the practical aspects of control
design and process applications is typically not included in
process control classes taught at the university level.
The book is written to act as a guide for engineers who are
just starting to work in this field.
Experienced control engineers will benefit from the
application examples on process control design and
implementation of multi-loop control strategies.
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Background - Different Construction Techniques
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Wiring Practices
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Plant Organization
Common terms used to
describe plant
organization are
introduced.
Plant Area – classification
by name and area number
Units within a process
Area
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Lab, Control Room, Lab and Rack Room
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Existing System – Electronic and Pneumatic
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Impact of DCS Systems
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Integration of External System/Interface
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Modern DCS Controller
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Impact of Digital Communications
Ethernet
Fieldbus –
Foundation
Fieldbus,
Profibus
Wireless -
WirelessHART
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Wireless Impact
• Wireless Field Devices
• Relatively simple - Obeys
Network Manager
• Gateway and Access
Points
• Allows control system
access to WirelessHART
Network Gateways
• Manages communication
bandwidth and routing
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WirelessHART Objectives
Satisfy the end users
concerns
Keep it simple
Use Existing tools
Reliable & Secure
Fit for Industrial Environments
As simple as 4-20mA HART
Instruments should be Intelligent and easy to
use
Update DD for Handheld and Asset
Management applications
Same tools – same procedures
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Satisfy the end users concerns
Reliable– Use Mesh for redundant paths
(A – B)– Redundant Gateway to the Host– Multiple Network Access Points– Coexistence with neighbouring
networks• Channel hopping• TDMA• Low Power
Secure– Device Authentication– AES128 Encryption– Anti-Jamming
• Channel Hopping
– Verification at MAC Layer– Key Management
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Device Types Wireless Field Devices
– Relatively simple - Obeys Network Manager
– All devices are full-function (e.g., must route)
Adapters
– Provide access to existing HART-enabled Field
Devices
– Fully Documented, well defined requirements
Gateway and Access Points
– Allows access to WirelessHART Network from
the Process Automation Network
– Gateways can offer multiple Access Points for
increased Bandwidth and Reliability
– Caches measurement and control values
– Directly Supports WirelessHART Adapters
– Seamless access fro existing HART Applications
Network Manager
– Manages communication bandwidth and routing
– Redundant Network Managers supported
– Often embedded in Gateway
– Critical to performance of the network
Handheld
– Supports direct communication to field device
– For security, one hop only communication
All devices compatible with existing DD-enabled
Applications
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Impact of Standard on Control
ISA88 – Batch terminology
IEC 61131 – Function blocks,
Ladder Logic, Structured Text,
Sequential Function Charts.
IEC 61804 – Function blocks
for the process industry,
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Measurement
Introduction to devices
used for basic
measurement– Magnetic flow meter
– Vortex flow meter
– Differential pressure for flow
measurement
– Corilois flow meter
– Absolute and gauge pressure
– Temperature – RTD,
thermocouple
– Level based on
pressure/differential pressure
– Level - Radar
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Device Calibration
Concept of devices
calibration and
configuration is
introduce.
Role of hand held
devices and EDDL is
addressed
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Analyzers
Difference between
sampling and situ
analyzers is
addressed
Impact of sampling
system on
maintenance and
measurement delay
is highlighted
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Analyzer Example
A couple of common
situ analyzers are
addressed to show
features and options
– Flue Gas O2
– pH/ORP
Calibration of
analyzer and role of
sample/hold when
used in control is
addressed.
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Final Control Element
Basic final control
elements are
addressed:
– Sliding stem valve
– Rotarty valve
– Damper drive
– Variable speed drive
– Block valve
Advantages and
limitations are
discussed
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Final Control Element Terminology
Common terms
associated with final
control elements are
defined
– Positioner
– Actuator
– Valve Body
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Installed Characteristics
Types of valve
characteristics and
their impact on
installed
characteristics is
addressed
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Field Wiring and Communications
Installation of 2-wire vs 4-wire devices is addressed
Common problems are address e.g. need for electric isolation when
utilizing a 4-wire device
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Fieldbus Installation
Special
requirements
for a fieldbus
installation are
addressed
Common
terminology is
defined:
– Multi-drop
– Power
conditioner
– Terminator
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Control System Documentation
Documentation that
is typically
generated for a
control system
installation are
addressed.
The purpose of
each document is
explained.
Reference provided
to ISA-5.4 standard
for Instrument Loop
Diagrams
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Tag Convention – ISA S5.1
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Representation of Signals and Instruments
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Symbols for Field devices and Elements
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Process Symbols
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Symbol Example – P&ID Drawing
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Symbol Example(Cont.)
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Symbol Example(Cont.)
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Symbol Example(Cont.)
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Display Observing Color Usage
Operator Graphics and Metrics
An operator
interface design is
addressed by
Alarm Standard
EEMUA 191
Advocates that
alarms should be
in alarm color.
Pipes, pumps,
valves, etc. should
not be in alarm
colors, or any
other bright color.
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Display Tools
Basic tools for construction
a display are discussed
– Dynamos, dynamic elements,
faceplates, links for creating
a display hierarchy
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Performance Metrics
Example used
to illustrate how
operation
metrics may be
added to an
operator display
Benefits of
integrating this
type of
information into
the operator
interface
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ISA 101 - Human Machine Interfaces for Process Automation Systems
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Center for Operator Performance
http://www.operatorperformance.org/
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Current Members
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Research Programs
Completed– Nature of Expertise
– Decision Making Exercises
– Simulator Usage
– Color Usage/Display Design
– Alarm Rate & Presentation Impact
Current– Quantify alarm actuation rates that operators can handle
– Develop & evaluate effectiveness of decision-based operating graphics
– Develop systematic approach to documenting “expertise? of senior
operators before they walk out the door
– Evaluate methods of early detection of off-normal operations
– Data Mining of Near Miss Process Incidents
– Human Performance Metrics
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A plant may be thought of as being made up of a series of processes.
A good understanding of these processes is required to design a control
system for the plant.
Process Characterization
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Process Definition
Process – Specific equipment configuration (in a manufacturing plant)
which acts upon inputs to produce outputs.
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Process Terminology
Controlled output (controlled parameter) – Process output that is to
be maintained at a desired value by adjustment of process input(s).
Setpoint – Value at which the controlled parameter is to be maintained
by the control system.
Manipulated input (manipulated parameter) – Process input that is
adjusted to maintain the controlled parameter at the setpoint.
Disturbance input – Process input, other than the manipulated input,
which affects the controlled parameter.
Constraint output (constraint parameter) – Process output that must
be maintained within an operating range.
Constraint limit – Value that a constraint parameter must not exceed
for proper operation of the process.
Other input – Process input that has no impact on controlled or
constraint outputs.
Other output – Process output other than controlled or constraint
outputs.
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Example – Application of Terminology
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Impact of Disturbance Input
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Example – Lime Mud Filter Process
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Example – Lime Mud Filter ( Cont.)
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Pure Gain Process
When the process output
tracks the process input
except for a change in
signal amplitude, the
process is known as a
pure gain.
The change in signal
amplitude is determined
by the process gain.
For a step change in
process input, the process
gain is defined as the
change in the process
output divided by the
change in process input
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Example – Pure Gain Process
An example of a
pure gain process is
the jack shaft used
in some boiler
combustion control
systems.
Gain is determine
by the length of the
lever arms attached
to the jack shaft.
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Pure Delay Process
When the process
output tracks the
process input except
for a delay in the output
signal, the process is
know as a pure delay
process.
For a step change in
the process input,
process deadtime is
defined as the time
from the input changing
until the first affect of
the change is seen in
the process output.
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Examples – Pure Delay Process
Example of pure
delay processes are
a conveyor belt and
a pipeline.
Delay is the result
of transport time
and will vary with
the speed of the
belt or the flow rate
through the pipe.
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First Order Process
When process output immediately begin to respond to a step change in a process input and the rate of change is proportional to its current value and the final value the output will achieve, the process is know as a first order process.
The dynamic response is fully captured by identifying the process gain and the process time constant.
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Example – First Order Process
An example of a pure
lag process is a tank
with outlet flow
determined by tank
level and the outlet flow
restriction caused by
the orifice.
The level will settle at a
value which results in
an outlet flow that
matches the inlet flow.
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First Order Plus Deadtime Process
Most process in
industry may be
approximated as
first order plus
deadtime
processes.
A first order plus
deadtime process
exhibits the
combined
characteristics of
the lag and delay
process.
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Example – Steam Heater
•An example of a
first order plus
deadtime process
is a steam heater.
•The process lag is
caused by the
heating process
•The process
deadtime is caused
by transport delay
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Higher Ordered Systems
•The dynamic response of a process is the results of many components working together e.g. I/P, Valve actuator, heat or fluid/gas transport, etc.
•The net process response of these higher order systems can be approximated as first order plus deadtime.
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Combined Impact of Process Dynamics
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Integrating Process
• When a process output
changes without bound
when the process input
is changed by a step, the
process is know as a
non-self- regulating or
integrating process.
• The rate of change
(slope) of the process
output is proportional to
the change in the
process input and is
known as the integrating
gain.
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Example – Integrating Process
An example of a
non-self-regulating
process is tank
level where outlet
flow is established
by a gear pump.
If the inlet flow
does not match the
outlet flow, then
level will continue
to change until the
tank overflows or
runs dry.
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Inverse Response Process
For a few processes, the initial change in the process output to a step change in a process input will be in the opposite direction of the final output change.
Processes exhibiting this characteristic are said to have an inverse response.
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Example – Inverse Response Process
The level of a vertical
thermosiphon reboiler
in a distillation column
may exhibit an inverse
response to a rapid
increase in heat input.
The size or direction
of the change in heat
input may determine if
an inverse response
is obtained.
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Process Linearity
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Example – Non-linear Process
Most processes may be
approximated as linear over
a small operating range.
However, over a wide range
of operation, processes may
exhibit some non-linearity.
A common cause of non-
linearity is a change in
process gain – reflecting the
installed characteristics of
the final control element
i.e. valve acting with the
other equipment making up
the process, as illustrated in
this example.
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Workshop – Use of Process Simulation
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Workshop - Process Characterization
Three example
processes are include
in workshop
– First order plus
deadtime
– Integrating
– Inverse response
Web site is accessed
to perform step test.
Only a web browser
is needed – no
software to install.
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Control Objective
For the case,
production is
greatest when the
band of variation
is reduced to zero
and the process
parameter is
maintained at the
value
corresponding to
maximum
production
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Impact of Operating Target
To benefit from
improvement in
control, the loop
must operate at the
target that provides
maximum
production.
The plant design
conditions may be
used as a guide in
establishing
setpoints for best
operation
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Operating at a Limit
For this case,
maximum production
is obtained by
maintaining the
process parameter
at a limit determined
by some plant
limitation.
How close to the
limit you can operate
is determined by the
quality of the control
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Impact of Reduced Variability
Production
improvement
is obtained by
operating
closer to
product
specification
or operating
limit.
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Example - Ammonia Plant
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Example - Ammonia Plant (Cont.)
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Example - Ammonia Plant (Cont.)
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Other Control Objectives
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Balancing Control Complexity and Benefits
Various techniques may be
used to improve the control of a
process
As the complexity of the control
system increases, so does cost
for operator training and
maintenance
The complexity (cost) of the
control system should be
balanced with the benefits
provided
The benefits of control
improvement may be influenced
by market conditions i.e. value
of product, cost of feedstock,
energy cost
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Single Loop Control
In some cases
manual control
may be
appropriate
Manual Loader
Block may be
used to
implement
manual control
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Manual Control Implementation
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Processing of Analog Input Signal
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Impact of Aliasing
![Page 82: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/82.jpg)
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Setup of Anti-aliasing Filter
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Processing by Analog Input Block
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Filtering Provided by Analog Input Block
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Manual Loader Block
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Analog Output Block
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Analog Output Block - Rate Limiting
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Analog Output Block – Increase to Close Option
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Feedback Control
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Proportional Only Control
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Proportional Plus Integral (PI) Control
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Proportional, Integral, Derivative (PID) Control
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PID Structure Selection
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PID Direct/Reverse Selection
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PID Function Block
![Page 96: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/96.jpg)
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PID Form – Standard and Series
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Setting PID Form and Structure
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Block Mode – Selection of Source of SP and OUT
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Target Modes of Block
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Other Actual Modes of Block
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Duty Cycle Control
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Duty Cycle Control (Cont.)
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Increase-Decrease Control – Motor Driven Actuator
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Workshop – Feedback Control
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Tuning and Loop Performance – Default Setting
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Manual Tuning Technique
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Tools to Automate Tuning
Example base on
DeltaV Insight On-
demand Tuning
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Impact of Sticky Valve
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Use of Signal Characterizer to Compensate for Non-linearity
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Characterizer Setup
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Multi-loop Control - Feedforward Control
![Page 112: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/112.jpg)
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Feedforward Control Implementation
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Commissioning Dynamic Compensation
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Workshop – Feedforward Control
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Cascade Control
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Example – Boiler Steam Temperature
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Cascade Control Implementation
Selecting
FRSI_OPT for
dynamic reset in
primary loop and
CONTROL_OPTS
for Use PV for
BKCAL_OUT in
secondary loop
can often improve
dynamic
response.
![Page 118: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/118.jpg)
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Workshop – Cascade Control
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Override Control
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Example – Override Control
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Override Control Implementation
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Workshop – Override Control
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Control Using Two Manipulated Parameters
Three methods
Addressed:
Split Range
Control
Valve Position
Control
Ratio Control
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Split Range Control Implementation
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Split Range Setup
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BA
Example – Split Range Control
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Workshop – Split Range Control
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Valve Position Control
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Valve Position Control Implementation
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Example – Valve Position Control
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Workshop – Valve Position Control
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Ratio Control
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Ratio Control Implementation
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Example – Ratio Control
In this example
the ratio setpoint
is adjusted using
feedback control
based on a
downstream
analysis of the
blended material
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Workshop – Ratio Control
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Process Simulation for Ratio Workshop
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Model Predictive Control (MPC)
Operating Within Process Constraint
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MPC May be Layered on Existing Control
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Workshop – Model Predict Control
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Process Modeling
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Simulation Diagram
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Simulation Module
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Example – Process Simulation Composite
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Workshop – Process Modeling
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Application – Boiler Drum Level
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Batch Reactor
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Batch Reactor- Processing
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Batch Reactor - Control
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Continuous Reactor
![Page 151: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/151.jpg)
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Continuous Reactor - Control
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Single Fuel Power Boiler
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Power Boiler Combustion Control
![Page 154: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/154.jpg)
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Distillation Column
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Distillation Column Control
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Ammonia Plant H/N Ratio Control
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Ammonia Plant H/N Ratio Control (Cont.)
![Page 158: Control Loop Foundation Overview](https://reader031.vdocument.in/reader031/viewer/2022012312/54192cba7bef0a05088b4626/html5/thumbnails/158.jpg)
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Control Loop Foundation Web Site
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Exercise and Process Information
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Workspace –Dynamic Simulation/Control
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Chart and Solution Selections
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Summary
Feedback on the book can be provide through the
Control Loop Foundation website
Questions?
Drawing for books
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How to Get More Information Emerson Education Class
– Control Loop Foundation, Course 9025 CEUs: 3.2
– This course is for engineers, managers, technicians, and others that are new to
process control or need a refresher course. This course includes the practical
aspects of control design and process applications that course developers
personally learned through years of hands on experience while designing and
commissioning process control applications.
Overview
– This 4-1/2 day course covers the concepts and terminology that are needed to
understand and work with control systems. Upon completion of this course the
student will be able to effectively work with and commission single and multi-loop
control strategies. Interactive workshops allow the student to apply what they learn
in the class.
Prerequisites
– Windows experience.
Control Loop Foundation - ISA Book
– May be purchase through the ISA web site - http://www.isa.org/
Book Web Site
– Explore book workshops - http://www.controlloopfoundation.com/