SlideShare a Scribd company logo

Guidelines for Setting Filter and Module Execution Rate

•Download as PPT, PDF•
•
Emerson Exchange
Emerson Exchange

The is a recording of a presentation given at Emerson Exchange 2010. Basic guidelines are presented on how to set filtering to avoid aliasing. Also, information is provided on how to set control execution rate to achieve best performance.

Technology
1 of 24
Guidelines for Setting Filtering and Module Execution Rate Terry Blevins Principal Technologist
Presenters ,[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Protection against 50-60 Hz pickup ,[object Object],[object Object],A/D Converter 1 st Order Configurable Software Filter DeltaV Analog Input Card Hardware Filter A/D Converter 3 rd Order Sigma Delta Converter FIR Digital Filter CHARM Analog Input 2 nd Order Software Filter* *DeltaV v11.3.1
A/D FIR Filter – 50-60 Hz Attenuation
Filtering of process measurements ,[object Object],[object Object],Field Input of 4.5 Hz (green), AI output (blue) of Module executing at 5 Hz (200 msec) - Scaled inTime
Example – Process Noise
Example – Process Noise
Configuring Anti-aliasing Filter ,[object Object],[object Object]
Filtering Within a Module ,[object Object],[object Object]
Response Time – Self-regulating Process ,[object Object],[object Object],[object Object],Input Time Value Output I1 O1 T2 O2 I2 Gain = O2 – O1 I2 – I1 Note: Output and Input in % of scale Dead Time = T2 – T1 63.2% (O2 - O1) T3 T1 Time Constant = T3 – T2
Response Time – Integrating Process ,[object Object],Time Value T2 O2 T3 T1 I 2 Integrating Gain = O2 – O1 ( I2 - I1 ) * (T3 – T2) Dead Time = T2 - T1 Note: Output and Input in % of scale, Time is in seconds Input Output I1 O1 ,[object Object],[object Object]
Example: Impact of Filtering (Cont)
Example: Impact of Filtering Process Gain=1 , TC=4 sec, DT=1 sec * Time to return within 2% of setpoint . PID Tuning Setpoint Change Load Disturbance Tuning Method Filtering as % of Response Time Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI No Filtering 1.13 3.5 - 7 0.2 11 6 10% 0.92 4.8 - 11 - 16 7.2 30% 0.90 6.7 17 - 22 7.7 60% 0.93 8.9 - 23 - 27 7.6 120% 1.06 11.8 - 19 - 33 7.0 Lambda λ =1.5 No Filtering 0.6 4.5 - 18 - 23 10.3 10% 0.47 6.5 - 34 - 40 11.9 30% 0.44 9.2 53 59 12.8 60% 0.47 12.3 - 67 - 74 12.8 120% 0.52 16.9 - 83 - 93 12.1
Control Execution Period ,[object Object],[object Object],Control Execution 63% of Change Process Output Process Input Deadtime (T D ) O I New Measurement Available Time Constant ( )
Control Execution ,[object Object],[object Object],[object Object]
Example: Control Execution - Rule 3 Module Execution Impact - Process Gain=1 , TC=3 sec, DT=1 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI 0.2 sec 0.89 3.3 - 7 - 12 10 0.5 sec 1.01 3.9 - 9 - 14 10 1 sec 1.31 5.4 12 - 16 10 2 sec 1.0 14.3 - 47 - 53 12 5 Sec 0.22 22 - 316 - 310 15
Example: Control Execution - Rule 3 (Cont)
Example: Control Execution - Rule 4 Module Execution Impact - Process Gain=1 , TC=2 sec, DT=2 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI 0.5 sec 0.49 3.2 - 16 - 20 15 1 sec 0.57 4.5 - 23 - 27 15.3 2sec 0.6 7.0 38 - 42 16.9 5 sec 0.21 22 - 316 - 330 18 10 Sec 0.12 0.44 - >600 - >600 19
Example: Control Execution - Rule 4 (Cont)
Examples – Applying Execution Rules ,[object Object],Fast Process (sec) Typical Process (sec) Process Type Deadtime Time Constant Execution Period Deadtime Time Constant Execution Period Liquid Flow/Pressure 0.1 0.4 0.1 0.1 1 0.2 Gas Flow 0.1 1 0.2 0.3 5 1 Column Pressure 1 10 2 5 50 10 Furnace Pressure 0.1 0.5 0.2* 0.3 5 1 Vessel Pressure 0.2 10 2 0.6 30 10 Compressor Surge Control 0.05 0.5 0.1 0.2 5 1 Liquid Level 0.05 30 10 0.3 300 60 Exchanger Temperature 10 30 20* 30 180 60* Batch Temperature 10 300 60 30 500 60 Column Temperature 30 600 60 60 600 60 Boiler Steam Temperature 10 30 20* 30 180 60* Vessel Temperature 30 300 60 60 600 60 Gas composition – O2 10 12 20* 20 60 40* Vessel Composition 30 300 60 60 600 60 Inline (static Mixer) pH 2 2 4* 3 5 6* Vessel pH 30 60 60* 60 600 60
Business Results Achieved ,[object Object],[object Object],$/HR Profit $/HR Profit Maximum Maximum $ Lost $ Lost “ Better” Control Time Time $/HR Profit $/HR Profit Maximum Maximum $ Lost $ Lost “ Better” Control Time Time
Summary ,[object Object],[object Object],[object Object]
Where To Get More Information ,[object Object],[object Object],[object Object],[object Object]

Recommended

PID Control of True Integrating Processes - Greg McMillan Deminar
PID Control of True Integrating Processes - Greg McMillan DeminarPID Control of True Integrating Processes - Greg McMillan Deminar
PID Control of True Integrating Processes - Greg McMillan DeminarJim Cahill
 
Pid controller by Mitesh Kumar
Pid controller by Mitesh KumarPid controller by Mitesh Kumar
Pid controller by Mitesh KumarMitesh Kumar
 
PID Tuning for Near Integrating Processes - Greg McMillan Deminar
PID Tuning for Near Integrating Processes - Greg McMillan DeminarPID Tuning for Near Integrating Processes - Greg McMillan Deminar
PID Tuning for Near Integrating Processes - Greg McMillan DeminarJim Cahill
 
PID Control of Runaway Processes - Greg McMillan Deminar
PID Control of Runaway Processes - Greg McMillan DeminarPID Control of Runaway Processes - Greg McMillan Deminar
PID Control of Runaway Processes - Greg McMillan DeminarJim Cahill
 
PID Control of Valve Sticktion and Backlash - Greg McMillan Deminar Series
PID Control of Valve Sticktion and Backlash - Greg McMillan Deminar SeriesPID Control of Valve Sticktion and Backlash - Greg McMillan Deminar Series
PID Control of Valve Sticktion and Backlash - Greg McMillan Deminar SeriesJim Cahill
 
PID Tuning for Self Regulating Processes - Greg McMillan Deminar
PID Tuning for Self Regulating Processes - Greg McMillan DeminarPID Tuning for Self Regulating Processes - Greg McMillan Deminar
PID Tuning for Self Regulating Processes - Greg McMillan DeminarJim Cahill
 
Pid controller
Pid controllerPid controller
Pid controllerSangramjit Sarkar
 
Application of kalman filtering in delta v
Application of kalman filtering in delta vApplication of kalman filtering in delta v
Application of kalman filtering in delta vEmerson Exchange
 

Recommended

PID Control of True Integrating Processes - Greg McMillan Deminar
PID Control of True Integrating Processes - Greg McMillan DeminarPID Control of True Integrating Processes - Greg McMillan Deminar
PID Control of True Integrating Processes - Greg McMillan DeminarJim Cahill
 
Pid controller by Mitesh Kumar
Pid controller by Mitesh KumarPid controller by Mitesh Kumar
Pid controller by Mitesh KumarMitesh Kumar
 
PID Tuning for Near Integrating Processes - Greg McMillan Deminar
PID Tuning for Near Integrating Processes - Greg McMillan DeminarPID Tuning for Near Integrating Processes - Greg McMillan Deminar
PID Tuning for Near Integrating Processes - Greg McMillan DeminarJim Cahill
 
PID Control of Runaway Processes - Greg McMillan Deminar
PID Control of Runaway Processes - Greg McMillan DeminarPID Control of Runaway Processes - Greg McMillan Deminar
PID Control of Runaway Processes - Greg McMillan DeminarJim Cahill
 
PID Control of Valve Sticktion and Backlash - Greg McMillan Deminar Series
PID Control of Valve Sticktion and Backlash - Greg McMillan Deminar SeriesPID Control of Valve Sticktion and Backlash - Greg McMillan Deminar Series
PID Control of Valve Sticktion and Backlash - Greg McMillan Deminar SeriesJim Cahill
 
PID Tuning for Self Regulating Processes - Greg McMillan Deminar
PID Tuning for Self Regulating Processes - Greg McMillan DeminarPID Tuning for Self Regulating Processes - Greg McMillan Deminar
PID Tuning for Self Regulating Processes - Greg McMillan DeminarJim Cahill
 
Pid controller
Pid controllerPid controller
Pid controllerSangramjit Sarkar
 
Application of kalman filtering in delta v
Application of kalman filtering in delta vApplication of kalman filtering in delta v
Application of kalman filtering in delta vEmerson Exchange
 
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...Emerson Exchange
 
Utilizing DeltaV Advanced Control Innovations to Improve Control Performance
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceUtilizing DeltaV Advanced Control Innovations to Improve Control Performance
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceEmerson Exchange
 
PID Control Basics
PID Control BasicsPID Control Basics
PID Control BasicsYokogawa1
 
Tuning of pid controller
Tuning of pid controllerTuning of pid controller
Tuning of pid controllerSubhankar Sau
 
PROCESS CONTROL.pdf
PROCESS CONTROL.pdfPROCESS CONTROL.pdf
PROCESS CONTROL.pdfeldoctol
 
Fundamentals of Digital Signal Processing - Question Bank
Fundamentals of Digital Signal Processing - Question BankFundamentals of Digital Signal Processing - Question Bank
Fundamentals of Digital Signal Processing - Question BankMathankumar S
 
PID controller
PID controllerPID controller
PID controllerTsuyoshi Horigome
 
Transition fault detection
Transition fault detectionTransition fault detection
Transition fault detectionRahul Krishnamurthy
 
PID Tuning
PID TuningPID Tuning
PID TuningJessada Jarusasi, MBA, CFSE
 
Dcs vs scada
Dcs vs scadaDcs vs scada
Dcs vs scadaSayed Qaisar Shah
 
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...Waqas Afzal
 
Honeywell Experion HS
Honeywell Experion HSHoneywell Experion HS
Honeywell Experion HSShivam Singh
 
Modern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID TuningModern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID TuningAmr E. Mohamed
 
Dcs
DcsDcs
DcsAKANSHA GURELE
 
A Methodology Proposal to Design Radars - Systems Approach
A Methodology Proposal to Design Radars - Systems ApproachA Methodology Proposal to Design Radars - Systems Approach
A Methodology Proposal to Design Radars - Systems ApproachAntonio Sallum Librelato
 
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...Emerson Exchange
 
ISA Effective Use of PID Controllers 3-7-2013
ISA Effective Use of PID Controllers 3-7-2013ISA Effective Use of PID Controllers 3-7-2013
ISA Effective Use of PID Controllers 3-7-2013Sarod Paichayonrittha
 
Pid controllers
Pid controllersPid controllers
Pid controllersmilind1076
 
Process diagrams lecture
Process diagrams lectureProcess diagrams lecture
Process diagrams lectureAli Ahmad
 
Pid controller
Pid controllerPid controller
Pid controllerAnjushree Sukumaran
 
Exceptional Process Control Opportunities
Exceptional Process Control OpportunitiesExceptional Process Control Opportunities
Exceptional Process Control OpportunitiesJim Cahill
 
PID Tuning Rules
PID Tuning RulesPID Tuning Rules
PID Tuning RulesISA Interchange
 

More Related Content

What's hot

Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...Emerson Exchange
 
Utilizing DeltaV Advanced Control Innovations to Improve Control Performance
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceUtilizing DeltaV Advanced Control Innovations to Improve Control Performance
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceEmerson Exchange
 
PID Control Basics
PID Control BasicsPID Control Basics
PID Control BasicsYokogawa1
 
Tuning of pid controller
Tuning of pid controllerTuning of pid controller
Tuning of pid controllerSubhankar Sau
 
PROCESS CONTROL.pdf
PROCESS CONTROL.pdfPROCESS CONTROL.pdf
PROCESS CONTROL.pdfeldoctol
 
Fundamentals of Digital Signal Processing - Question Bank
Fundamentals of Digital Signal Processing - Question BankFundamentals of Digital Signal Processing - Question Bank
Fundamentals of Digital Signal Processing - Question BankMathankumar S
 
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...Waqas Afzal
 
Honeywell Experion HS
Honeywell Experion HSHoneywell Experion HS
Honeywell Experion HSShivam Singh
 
Modern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID TuningModern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID TuningAmr E. Mohamed
 
A Methodology Proposal to Design Radars - Systems Approach
A Methodology Proposal to Design Radars - Systems ApproachA Methodology Proposal to Design Radars - Systems Approach
A Methodology Proposal to Design Radars - Systems ApproachAntonio Sallum Librelato
 
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...Emerson Exchange
 
ISA Effective Use of PID Controllers 3-7-2013
ISA Effective Use of PID Controllers 3-7-2013ISA Effective Use of PID Controllers 3-7-2013
ISA Effective Use of PID Controllers 3-7-2013Sarod Paichayonrittha
 
Pid controllers
Pid controllersPid controllers
Pid controllersmilind1076
 
Process diagrams lecture
Process diagrams lectureProcess diagrams lecture
Process diagrams lectureAli Ahmad
 

What's hot (20)

Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
Interesting and Useful Features of the DeltaV PID, Ratio and Bias/Gain Contro...
 
Utilizing DeltaV Advanced Control Innovations to Improve Control Performance
Utilizing DeltaV Advanced Control Innovations to Improve Control PerformanceUtilizing DeltaV Advanced Control Innovations to Improve Control Performance
Utilizing DeltaV Advanced Control Innovations to Improve Control Performance
 
PID Control Basics
PID Control BasicsPID Control Basics
PID Control Basics
 
Tuning of pid controller
Tuning of pid controllerTuning of pid controller
Tuning of pid controller
 
PROCESS CONTROL.pdf
PROCESS CONTROL.pdfPROCESS CONTROL.pdf
PROCESS CONTROL.pdf
 
Fundamentals of Digital Signal Processing - Question Bank
Fundamentals of Digital Signal Processing - Question BankFundamentals of Digital Signal Processing - Question Bank
Fundamentals of Digital Signal Processing - Question Bank
 
PID controller
PID controllerPID controller
PID controller
 
Transition fault detection
Transition fault detectionTransition fault detection
Transition fault detection
 
PID Tuning
PID TuningPID Tuning
PID Tuning
 
Dcs vs scada
Dcs vs scadaDcs vs scada
Dcs vs scada
 
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
PID controller, P, I and D control Comparison PI, PD and PID Controller P, I,...
 
Honeywell Experion HS
Honeywell Experion HSHoneywell Experion HS
Honeywell Experion HS
 
Modern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID TuningModern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID Tuning
 
Dcs
DcsDcs
Dcs
 
A Methodology Proposal to Design Radars - Systems Approach
A Methodology Proposal to Design Radars - Systems ApproachA Methodology Proposal to Design Radars - Systems Approach
A Methodology Proposal to Design Radars - Systems Approach
 
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
New DeltaV Module Templates to Easily Configure, View, and Trend Advanced Pre...
 
ISA Effective Use of PID Controllers 3-7-2013
ISA Effective Use of PID Controllers 3-7-2013ISA Effective Use of PID Controllers 3-7-2013
ISA Effective Use of PID Controllers 3-7-2013
 
Pid controllers
Pid controllersPid controllers
Pid controllers
 
Process diagrams lecture
Process diagrams lectureProcess diagrams lecture
Process diagrams lecture
 
Pid controller
Pid controllerPid controller
Pid controller
 

Similar to Guidelines for Setting Filter and Module Execution Rate

Exceptional Process Control Opportunities
Exceptional Process Control OpportunitiesExceptional Process Control Opportunities
Exceptional Process Control OpportunitiesJim Cahill
 
Isa saint-louis-exceptional-opportunities-short-course-day-3
Isa saint-louis-exceptional-opportunities-short-course-day-3Isa saint-louis-exceptional-opportunities-short-course-day-3
Isa saint-louis-exceptional-opportunities-short-course-day-3Jim Cahill
 
Effects of Macrocycle Time and Sampling Rates on Control Loop Performance
Effects of Macrocycle Time and Sampling Rates on Control Loop PerformanceEffects of Macrocycle Time and Sampling Rates on Control Loop Performance
Effects of Macrocycle Time and Sampling Rates on Control Loop PerformanceJim Cahill
 
Isa saint-louis-exceptional-opportunities-short-course-day-2
Isa saint-louis-exceptional-opportunities-short-course-day-2Isa saint-louis-exceptional-opportunities-short-course-day-2
Isa saint-louis-exceptional-opportunities-short-course-day-2Jim Cahill
 
Control Loop Foundation - Batch And Continous Processes
Control Loop Foundation - Batch And Continous ProcessesControl Loop Foundation - Batch And Continous Processes
Control Loop Foundation - Batch And Continous ProcessesEmerson Exchange
 
Isa saint-louis-exceptional-opportunities-short-course-day-1
Isa saint-louis-exceptional-opportunities-short-course-day-1Isa saint-louis-exceptional-opportunities-short-course-day-1
Isa saint-louis-exceptional-opportunities-short-course-day-1Jim Cahill
 
PID Control of Slow Valves and Secondary Loops Greg McMillan Deminar Series
PID Control of Slow Valves and Secondary Loops Greg McMillan Deminar SeriesPID Control of Slow Valves and Secondary Loops Greg McMillan Deminar Series
PID Control of Slow Valves and Secondary Loops Greg McMillan Deminar SeriesJim Cahill
 
A Unified PID Control Methodology to Meet Plant Objectives
A Unified PID Control Methodology to Meet Plant ObjectivesA Unified PID Control Methodology to Meet Plant Objectives
A Unified PID Control Methodology to Meet Plant ObjectivesJim Cahill
 
Model Predictive Control For Integrating Processes
Model Predictive Control For Integrating ProcessesModel Predictive Control For Integrating Processes
Model Predictive Control For Integrating ProcessesEmerson Exchange
 
PID Control Of Sampled Measurements - Greg McMillan Deminar Series
PID Control Of Sampled Measurements - Greg McMillan Deminar SeriesPID Control Of Sampled Measurements - Greg McMillan Deminar Series
PID Control Of Sampled Measurements - Greg McMillan Deminar SeriesJim Cahill
 
Split Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan DeminarSplit Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan DeminarJim Cahill
 
Modernization Lessons Learned -Part 2
Modernization Lessons Learned -Part 2Modernization Lessons Learned -Part 2
Modernization Lessons Learned -Part 2Emerson Exchange
 
Ppt on simulink by vikas gupta
Ppt on simulink by vikas guptaPpt on simulink by vikas gupta
Ppt on simulink by vikas guptaVikas Gupta
 
In Apc Training Presentation
In Apc Training PresentationIn Apc Training Presentation
In Apc Training Presentationahmad bassiouny
 
Microprocessor controlled injection molding machine
Microprocessor controlled injection molding machineMicroprocessor controlled injection molding machine
Microprocessor controlled injection molding machineAvinashKumar1564
 
Process Control Improvement Primer - Greg McMillan Deminar
Process Control Improvement Primer - Greg McMillan DeminarProcess Control Improvement Primer - Greg McMillan Deminar
Process Control Improvement Primer - Greg McMillan DeminarJim Cahill
 

Similar to Guidelines for Setting Filter and Module Execution Rate (20)

Exceptional Process Control Opportunities
Exceptional Process Control OpportunitiesExceptional Process Control Opportunities
Exceptional Process Control Opportunities
 
PID Tuning Rules
PID Tuning RulesPID Tuning Rules
PID Tuning Rules
 
Isa saint-louis-exceptional-opportunities-short-course-day-3
Isa saint-louis-exceptional-opportunities-short-course-day-3Isa saint-louis-exceptional-opportunities-short-course-day-3
Isa saint-louis-exceptional-opportunities-short-course-day-3
 
Effects of Macrocycle Time and Sampling Rates on Control Loop Performance
Effects of Macrocycle Time and Sampling Rates on Control Loop PerformanceEffects of Macrocycle Time and Sampling Rates on Control Loop Performance
Effects of Macrocycle Time and Sampling Rates on Control Loop Performance
 
Isa saint-louis-exceptional-opportunities-short-course-day-2
Isa saint-louis-exceptional-opportunities-short-course-day-2Isa saint-louis-exceptional-opportunities-short-course-day-2
Isa saint-louis-exceptional-opportunities-short-course-day-2
 
Control Loop Foundation - Batch And Continous Processes
Control Loop Foundation - Batch And Continous ProcessesControl Loop Foundation - Batch And Continous Processes
Control Loop Foundation - Batch And Continous Processes
 
Isa saint-louis-exceptional-opportunities-short-course-day-1
Isa saint-louis-exceptional-opportunities-short-course-day-1Isa saint-louis-exceptional-opportunities-short-course-day-1
Isa saint-louis-exceptional-opportunities-short-course-day-1
 
PID Control of Slow Valves and Secondary Loops Greg McMillan Deminar Series
PID Control of Slow Valves and Secondary Loops Greg McMillan Deminar SeriesPID Control of Slow Valves and Secondary Loops Greg McMillan Deminar Series
PID Control of Slow Valves and Secondary Loops Greg McMillan Deminar Series
 
A Unified PID Control Methodology to Meet Plant Objectives
A Unified PID Control Methodology to Meet Plant ObjectivesA Unified PID Control Methodology to Meet Plant Objectives
A Unified PID Control Methodology to Meet Plant Objectives
 
Model Predictive Control For Integrating Processes
Model Predictive Control For Integrating ProcessesModel Predictive Control For Integrating Processes
Model Predictive Control For Integrating Processes
 
PID Control Of Sampled Measurements - Greg McMillan Deminar Series
PID Control Of Sampled Measurements - Greg McMillan Deminar SeriesPID Control Of Sampled Measurements - Greg McMillan Deminar Series
PID Control Of Sampled Measurements - Greg McMillan Deminar Series
 
Split Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan DeminarSplit Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan Deminar
 
Acc shams
Acc shamsAcc shams
Acc shams
 
Pid controller
Pid controllerPid controller
Pid controller
 
Modernization Lessons Learned -Part 2
Modernization Lessons Learned -Part 2Modernization Lessons Learned -Part 2
Modernization Lessons Learned -Part 2
 
Ppt on simulink by vikas gupta
Ppt on simulink by vikas guptaPpt on simulink by vikas gupta
Ppt on simulink by vikas gupta
 
In Apc Training Presentation
In Apc Training PresentationIn Apc Training Presentation
In Apc Training Presentation
 
Controller Tuning Method for Non-Linear Conical Tank System
Controller Tuning Method for Non-Linear Conical Tank SystemController Tuning Method for Non-Linear Conical Tank System
Controller Tuning Method for Non-Linear Conical Tank System
 
Microprocessor controlled injection molding machine
Microprocessor controlled injection molding machineMicroprocessor controlled injection molding machine
Microprocessor controlled injection molding machine
 
Process Control Improvement Primer - Greg McMillan Deminar
Process Control Improvement Primer - Greg McMillan DeminarProcess Control Improvement Primer - Greg McMillan Deminar
Process Control Improvement Primer - Greg McMillan Deminar
 

More from Emerson Exchange

Using Wireless Measurements in Control Applications
Using Wireless Measurements in Control ApplicationsUsing Wireless Measurements in Control Applications
Using Wireless Measurements in Control ApplicationsEmerson Exchange
 
Aplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unitAplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unitEmerson Exchange
 
Process Education on Demand
Process Education on Demand Process Education on Demand
Process Education on Demand Emerson Exchange
 
Control using wireless measurements
Control using wireless measurementsControl using wireless measurements
Control using wireless measurementsEmerson Exchange
 
Boot camp advanced tools and techniques
Boot camp advanced tools and techniquesBoot camp advanced tools and techniques
Boot camp advanced tools and techniquesEmerson Exchange
 
Application of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitApplication of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitEmerson Exchange
 
Addressing control applications using wireless hart devices
Addressing control applications using wireless hart devicesAddressing control applications using wireless hart devices
Addressing control applications using wireless hart devicesEmerson Exchange
 
Advanced control foundation tools and techniques
Advanced control foundation tools and techniquesAdvanced control foundation tools and techniques
Advanced control foundation tools and techniquesEmerson Exchange
 
The semantic web an inside look at the creation of control loop foundation
The semantic web an inside look at the creation of control loop foundationThe semantic web an inside look at the creation of control loop foundation
The semantic web an inside look at the creation of control loop foundationEmerson Exchange
 
Device Revisions Management - Best Practices
Device Revisions Management - Best PracticesDevice Revisions Management - Best Practices
Device Revisions Management - Best PracticesEmerson Exchange
 
Master the Mystery and Marvels of DeltaV MPC
Master the Mystery and Marvels of DeltaV MPCMaster the Mystery and Marvels of DeltaV MPC
Master the Mystery and Marvels of DeltaV MPCEmerson Exchange
 
PID Advances in Industrial Control
PID Advances in Industrial ControlPID Advances in Industrial Control
PID Advances in Industrial ControlEmerson Exchange
 
Intelligent PID Product Design
Intelligent PID Product DesignIntelligent PID Product Design
Intelligent PID Product DesignEmerson Exchange
 
Future Perspectives of PID Control
Future Perspectives of PID ControlFuture Perspectives of PID Control
Future Perspectives of PID ControlEmerson Exchange
 
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...Emerson Exchange
 
Calibration Excellence: Intelligent Application of Smart Technology is Just t...
Calibration Excellence: Intelligent Application of Smart Technology is Just t...Calibration Excellence: Intelligent Application of Smart Technology is Just t...
Calibration Excellence: Intelligent Application of Smart Technology is Just t...Emerson Exchange
 
When the Heat is On, Control with Wireless
When the Heat is On, Control with WirelessWhen the Heat is On, Control with Wireless
When the Heat is On, Control with WirelessEmerson Exchange
 
DeltaV Security - Don’t Let Your Business Be Caught Without It
DeltaV Security - Don’t Let Your Business Be Caught Without ItDeltaV Security - Don’t Let Your Business Be Caught Without It
DeltaV Security - Don’t Let Your Business Be Caught Without ItEmerson Exchange
 
Maximizing the return on your control investment meet the experts sessions part2
Maximizing the return on your control investment meet the experts sessions part2Maximizing the return on your control investment meet the experts sessions part2
Maximizing the return on your control investment meet the experts sessions part2Emerson Exchange
 

More from Emerson Exchange (20)

Using Wireless Measurements in Control Applications
Using Wireless Measurements in Control ApplicationsUsing Wireless Measurements in Control Applications
Using Wireless Measurements in Control Applications
 
Aplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unitAplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unit
 
Process Education on Demand
Process Education on Demand Process Education on Demand
Process Education on Demand
 
Control using wireless measurements
Control using wireless measurementsControl using wireless measurements
Control using wireless measurements
 
Boot camp advanced tools and techniques
Boot camp advanced tools and techniquesBoot camp advanced tools and techniques
Boot camp advanced tools and techniques
 
Application of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitApplication of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unit
 
Addressing control applications using wireless hart devices
Addressing control applications using wireless hart devicesAddressing control applications using wireless hart devices
Addressing control applications using wireless hart devices
 
Advanced control foundation tools and techniques
Advanced control foundation tools and techniquesAdvanced control foundation tools and techniques
Advanced control foundation tools and techniques
 
The semantic web an inside look at the creation of control loop foundation
The semantic web an inside look at the creation of control loop foundationThe semantic web an inside look at the creation of control loop foundation
The semantic web an inside look at the creation of control loop foundation
 
Device Revisions Management - Best Practices
Device Revisions Management - Best PracticesDevice Revisions Management - Best Practices
Device Revisions Management - Best Practices
 
Adventures in pH Control
Adventures in pH ControlAdventures in pH Control
Adventures in pH Control
 
Master the Mystery and Marvels of DeltaV MPC
Master the Mystery and Marvels of DeltaV MPCMaster the Mystery and Marvels of DeltaV MPC
Master the Mystery and Marvels of DeltaV MPC
 
PID Advances in Industrial Control
PID Advances in Industrial ControlPID Advances in Industrial Control
PID Advances in Industrial Control
 
Intelligent PID Product Design
Intelligent PID Product DesignIntelligent PID Product Design
Intelligent PID Product Design
 
Future Perspectives of PID Control
Future Perspectives of PID ControlFuture Perspectives of PID Control
Future Perspectives of PID Control
 
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...
A Quick and Easy Way to Connect to FOUNDATION fieldbus using Emerson’s USB Fi...
 
Calibration Excellence: Intelligent Application of Smart Technology is Just t...
Calibration Excellence: Intelligent Application of Smart Technology is Just t...Calibration Excellence: Intelligent Application of Smart Technology is Just t...
Calibration Excellence: Intelligent Application of Smart Technology is Just t...
 
When the Heat is On, Control with Wireless
When the Heat is On, Control with WirelessWhen the Heat is On, Control with Wireless
When the Heat is On, Control with Wireless
 
DeltaV Security - Don’t Let Your Business Be Caught Without It
DeltaV Security - Don’t Let Your Business Be Caught Without ItDeltaV Security - Don’t Let Your Business Be Caught Without It
DeltaV Security - Don’t Let Your Business Be Caught Without It
 
Maximizing the return on your control investment meet the experts sessions part2
Maximizing the return on your control investment meet the experts sessions part2Maximizing the return on your control investment meet the experts sessions part2
Maximizing the return on your control investment meet the experts sessions part2
 

Recently uploaded

costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfjimielynbastida
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 

Recently uploaded (20)

costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdf
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 

Guidelines for Setting Filter and Module Execution Rate

  • 1. Guidelines for Setting Filtering and Module Execution Rate Terry Blevins Principal Technologist
  • 2.
  • 3.
  • 4.
  • 5. A/D FIR Filter – 50-60 Hz Attenuation
  • 6.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. Example: Impact of Filtering (Cont)
  • 14. Example: Impact of Filtering Process Gain=1 , TC=4 sec, DT=1 sec * Time to return within 2% of setpoint . PID Tuning Setpoint Change Load Disturbance Tuning Method Filtering as % of Response Time Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI No Filtering 1.13 3.5 - 7 0.2 11 6 10% 0.92 4.8 - 11 - 16 7.2 30% 0.90 6.7 17 - 22 7.7 60% 0.93 8.9 - 23 - 27 7.6 120% 1.06 11.8 - 19 - 33 7.0 Lambda λ =1.5 No Filtering 0.6 4.5 - 18 - 23 10.3 10% 0.47 6.5 - 34 - 40 11.9 30% 0.44 9.2 53 59 12.8 60% 0.47 12.3 - 67 - 74 12.8 120% 0.52 16.9 - 83 - 93 12.1
  • 15.
  • 16.
  • 17. Example: Control Execution - Rule 3 Module Execution Impact - Process Gain=1 , TC=3 sec, DT=1 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI 0.2 sec 0.89 3.3 - 7 - 12 10 0.5 sec 1.01 3.9 - 9 - 14 10 1 sec 1.31 5.4 12 - 16 10 2 sec 1.0 14.3 - 47 - 53 12 5 Sec 0.22 22 - 316 - 310 15
  • 18. Example: Control Execution - Rule 3 (Cont)
  • 19. Example: Control Execution - Rule 4 Module Execution Impact - Process Gain=1 , TC=2 sec, DT=2 sec PID Tuning Setpoint Change Load Disturbance Tuning Method Module Period Gain Reset Rate Response* Time (sec) Overshoot (%) Recovery* Time (Sec) Max Dev (%) Typical PI 0.5 sec 0.49 3.2 - 16 - 20 15 1 sec 0.57 4.5 - 23 - 27 15.3 2sec 0.6 7.0 38 - 42 16.9 5 sec 0.21 22 - 316 - 330 18 10 Sec 0.12 0.44 - >600 - >600 19
  • 20. Example: Control Execution - Rule 4 (Cont)
  • 21.
  • 22.
  • 23.
  • 24.