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Slide 1
PID Advances in Industrial Control PID Advances in Industrial Control
Terry Blevins
Principal Technologist
DeltaV Future Architecture Team
Austin, TX
2 Slide 2
Agenda Agenda
State of Industrial Process Control as seen by one manufacturer of distributed control systems
Advances over the last 10 years
– Performance Monitoring
– On-Demand and Adaptive Tuning
Current Areas of Research and Development
– PID Recovery From Process Saturation
– PID Control Using Wireless Devices
Conclusion, Future
3 Slide 3
Advances in Control System Design Advances in Control System Design
Technology has allowed the cost and footprint of the control system to be reduced while allowing control functionality to be increased.
4 Slide 4
Fieldbus Impact Fieldbus Impact A variety of fieldbuses and field device have been introduced that simplify field wiring and allow control to be distributed to the device level
Wireless
Intranet
Access
Electronic
Marshalling
5 Slide 5
Electronic Marshalling Electronic Marshalling
Electronic marshalling has simplified field wiring
6 Slide 6
The impact of standards The impact of standards
IEC61804 defines function blocks for process control
Supports distribution of control to field devices.
Defines the use of measurement status indicate measure quality and mode to determine the source of setpoint and block output.
Electronic Device Description Language(EDDL) enables a control system to work with any manufacturer’s device.
HART, Foundation Fieldbus, and Profibus devices are consistent with this standard.
7 Slide 7
PID is the Basis For Continuous Process Control PID is the Basis For Continuous Process Control
PID is the dominant technology
for feedback control
Single loop and multi-loop PID
>95% of control application
Advanced control e.g. MPC, Fuzzy
Logic < 5% of control application
8 Slide 8
Example of Operator Interface to Control Example of Operator Interface to Control
The latest UI technology allows the plant operator to do more.
Graphic displays and historic trends allow the operator to view and interact with discrete and continuous control
Web technology allows remote access to measurement, control, and calculations
9 Slide 9
Issues Confronting The Process Industry Issues Confronting The Process Industry
In many cases the staffing at the plant level has been reduced. Plant support at the corporate level may have been severely downsized or eliminated.
Process engineers and instrumentation technicians may not have sufficient training to fully understand control setup and tune PID loops for best performance.
Resources at the plant level may only be sufficient to address issues that disrupt production.
The impact of control utilization/performance may not be monitored, documented and/or effectively communicated to plant management.
This is a global issue – Not specific to the control system manufacturer, commonly encountered in many major plants located in the US, Europe, Asia Pacific, Middle East.
10 Slide 10
Example – Pulp and Paper Example – Pulp and Paper
After plant management saw the results of this survey, a team was formed to address control issues in a timely fashion.
The reduction in variability led to significant improvements in plant throughput and product quality.
Two years later the plant set a new production record.
11 Slide 11
Example - Petrochemical Complex Example - Petrochemical Complex
Once plant management became aware of the low control utilization, manpower and funding were provided to investigate and correct the measurement and control issues
Work to improve control performance should begin with an assessment of control utilization.
12 Slide 12
Control System Manufacturer’s Focus Control System Manufacturer’s Focus
Control System
Research and
Development
Customer Issues
e.g. Performance
Monitoring
New Technology
e.g. Wireless
Device
Standards
e.g. IEC61804,
S88
Product
Changes
13 Slide 13
PERFORMANCE MONITORING PERFORMANCE MONITORING
Measurement status and control mode as defined by IEC61804 are key to performance monitoring
14 Slide 14
Performance Monitoring - Example Performance Monitoring - Example Explorer tree allows easy
navigation of control hierarchy
Overview display summarizes performance for System, Area, Units and Modules
Abnormal Control Conditions indicated for Problem Loops:
– Control Service Status:
• Incorrect mode
• Limited control output
• Bad/Uncertain input
– Control Performance Status:
• Standard Deviation
• Variability Index
• Oscillation Index
• Tuning Index
Device and Valve Diagnostics
15 Slide 15
Performance Reports - Example Performance Reports - Example
Communication of Results to Plant Management
Standard Reports
Quickly identify control problems
Track performance, Schedule for automatic generation
Customized Reports
Add production KPI‟s
16 Slide 16
On-Demand Tuning - Example On-Demand Tuning - Example
One of the most effective on-demand tuning technologies is relay oscillation as originally developed by Åstrӧm and Hägglund.
Allows tuning to be quickly established when commissioning control.
Tuning rules such as modified Ziegler Nichols tuning may be used to determine the PID tuning.
17 Slide 17
Adaptive Tuning Adaptive Tuning
Allows tuning the process model to be automatically established based on:
Normal setpoint changes made by the operator when the PID is in an automatic
PID output changes when the PID is in a manual mode.
Model switching with re-centering and interpolation may be used for process model identification – see Intelligent PID Product Design
18 Slide 18
Adaptive Control - Implementation Adaptive Control - Implementation
To allow the data used in adaptive control to be collected without communication skew or jitter, adaptive control is implemented directly in the PID
Enables adaptive control to be utilized even in high speed control applications.
19 Slide 19
Recovery From Process Saturation Recovery From Process Saturation
The recovery of the PID from process saturation is critical in many continuous and batch applications.
By utilizing a variable preload when the PID output is limited for an extended period of time (process saturation), it is possible to minimize setpoint overshoot on recovery from saturation.
See conference paper Improving PID Recovery from Limit Conditions.
PI Control with Variable Pre-load
PI Control
20 Slide 20
Example - Boiler Outlet Steam Temperature Example - Boiler Outlet Steam Temperature
If steam generation exceeds the attemperator capacity the boiler outlet steam temperature will exceed the outlet setpoint with the spray valve fully open.
When boiler firing rate is reduced, the spray value should be cut back as the outlet temperature drops.
Standard PID PID w/Variable Pre-load
SP Overshoot
50% Drop in
steam generation
21 Slide 21
PID Modifications for Wireless Control PID Modifications for Wireless Control
The Challenge – Control Using Wireless
Transmitter power consumption is minimized by reducing the number of times the measurement value is communicated.
Conventional PID execution synchronizes the measurement value with control action, by over-sampling the measurement by a factor of 2-10X.
The rule of thumb to minimize control variation is to have feedback control executed 4X to 10X times faster than the process response time (process time constant plus process delay).
The conventional PID design (i.e., difference equation and z-transform) assumes that a new measurement value is available at each execution and that control is executed on a periodic basis.
22 Slide 22
Conventional Approach – Over Sampling of Measurement Conventional Approach – Over Sampling of Measurement
Control Execution
63% of Change
Process Output
Process Input
Deadtime (TD )
O
I
New Measurement Available
Time Constant ( )
23 Slide 23
Conventional PID - Impact of Wireless Conventional PID - Impact of Wireless
The underlying assumption in traditional control design is that the PID is executed on a periodic basis.
When the measurement is not updated on a periodic basis, the calculated reset action may not be appropriate.
If control action is only executed when a new measurement is communicated, this could result in a delayed control response to setpoint changes and feedforward action on measured disturbances.
Conventional PID Design
24 Slide 24
*WirelessHART Solution *WirelessHART Solution
Window communication is the preferred method of communications for control applications. A new value will be communicated only if:
the magnitude of the difference between the new measurement value and the last communicated measurement value is greater that a specified trigger value
or if the time since the last communication exceeds a maximum update period.
Thus, the measurement is communicated only as often as required to allow control action to correct for unmeasured disturbances or response to setpoint changes.
For Windowed mode you must specify an update period, a maximum update period, and a trigger value.
*HART 7 specification that has been adopted as an international standard, IEC 62591Ed. 1.0.
25 Slide 25
PID Modification for Wireless Control PID Modification for Wireless Control
To provide the best control for a non-periodic measurement, the PID must be modified to reflect the reset contribution for the expected process response since the last measurement update.
Control execution is set faster than measurement update. This permits immediate action on setpoint change and update in faceplate.
26 Slide 26
PIDPlus Using Wireless Transmitter vs. Conventional PID and Wired Transmitter PIDPlus Using Wireless Transmitter vs. Conventional PID and Wired Transmitter
Control
Measurement
Control Output
Unmeasured
Disturbance
Setpoint PIDPlus
PIDPlus
PID
PID
Lambda Tuning ʎ = 1.0 Communication Resolution = 1%
Communication Refresh = 10sec
27 Slide 27
CONTROL PERFORMANCE DIFFERENCE CONTROL PERFORMANCE DIFFERENCE
Communications transmissions are reduced by over 96 % when window communication is utilized.
The impact of non-periodic measurement updates on control performance as measured by Integral of Absolute Error (IAE) is minimized through the PID modifications for wireless communication.
28 Slide 28
PIDPlus - Modified Derivative Action PIDPlus - Modified Derivative Action
29 Slide 29
PID Performance for Lost Communications PID Performance for Lost Communications
The Conventional PID provides poor dynamic response when wireless communications are lost.
The PID modified for wireless control provides improved dynamic response under these conditions
30 Slide 30
Wireless Communication Loss – During Setpoint Change Wireless Communication Loss – During Setpoint Change
Communication Loss
PID
PIDPlus
PIDPlus
PID
Control
Measurement
Control Output
Setpoint
31 Slide 31
Wireless Communication Loss – During Process Disturbance Wireless Communication Loss – During Process Disturbance
Communication Loss
PIDPlus
Setpoint Control
Measurement
Control Output
PID
PIDPlus
PID
32 Slide 32
Installation at Broadley James Installation at Broadley James
Portable Hyclone 100 liter disposable bioreactor
Rosemount WirelessHART gateway and transmitters for measurement and control of pH and temperature. Pressure monitored
BioNet is based on the DeltaV Control system.
33 Slide 33
Broadley James Bioreactor Setup Broadley James Bioreactor Setup
Bioreactor
VSD
VSD
TC
41-7
AT
41-4s2
AT
41-4s1
AT
41-2
AT
41-1
TT
41-7
AT
41-6
LT
41-14
Glucose
Glutamine
pH
DO
Product
Heater
VSD
VSD
VSD
AC
41-4s1
AC
41-4s2
Media
Glucose
Glutamine
VSD
Inoculums
VSD
Bicarbonate
AY
41-1
AC
41-1Splitter
AC
41-2
AY
41-2Splitter
CO2
O2
Air
Level
Drain
0.002 g/L
7.0 pH
2.0 g/L
2.0 g/L
37 oC
MFC
MFC
MFC
AT
41-5x2
Viable
Cells
AT
41-5x1
Dead
Cells
Bioreactor
VSDVSD
VSD
TC
41-7
TC
41-7
AT
41-4s2
AT
41-4s1
AT
41-2
AT
41-1
TT
41-7
AT
41-6
LT
41-14
Glucose
Glutamine
pH
DO
Product
Heater
VSD
VSD
VSD
AC
41-4s1
AC
41-4s1
AC
41-4s2
AC
41-4s2
Media
Glucose
Glutamine
VSD
Inoculums
VSD
Bicarbonate
AY
41-1
AC
41-1
AC
41-1Splitter
AC
41-2
AC
41-2
AY
41-2Splitter
CO2
O2
Air
Level
Drain
0.002 g/L
7.0 pH
2.0 g/L
2.0 g/L
37 oC
MFC
MFC
MFC
AT
41-5x2
Viable
Cells
AT
41-5x1
Dead
Cells
34 Slide 34
Wireless Temperature Loop Test Results Wireless Temperature Loop Test Results
35 Slide 35
Wireless pH Loop Test Results Wireless pH Loop Test Results
36 Slide 36
Separations Research Program, University of Texas at Austin Separations Research Program, University of Texas at Austin
The Separations Research Program was established at the J.J. Pickle Research Campus in 1984
This cooperative industry/university program performs fundamental research of interest to chemical, biotechnological, petroleum refining, gas processing, pharmaceutical, and food companies.
CO2 removal from stack gas is a focus project for which WirelessHART transmitters were installed for pressure and steam flow control
37 Slide 37
Steam Flow To Stripper Heater Steam Flow To Stripper Heater
38 Slide 38
Column Pressure Control Column Pressure Control
39 Slide 39
PC215 On-line Column Pressure Control PC215 On-line Column Pressure Control
The same dynamic control response was observed for SP changes
Original plant PID tuning was used for both wired and wireless control
GAIN=2.5
RESET=4
RATE=1
Wired Measurement
Used in Control
Wireless Measurement
Used in Control
Answers Questions
2a & 2b
40 Slide 40
Control Performance – Wired vs Wireless Control Performance – Wired vs Wireless Comparable control
as measured by IAE was achieved using WirelessHART Measurements and PIDPlus vs. control with wired measurements and PID.
The number of measurement samples with WirelessHART vs Wired transmitter was reduced by a factor of 10X for flow control and 6X for pressure control – accounting for differences in test duration.
Test #1 Test #2
41 Slide 41
Conclusion Conclusion Control system manufacturers’ research and development
focuses on the need to address customer control issues, incorporate standards, and adopt new technology.
A method for improving the recovery of the PID from process saturation is of interest to the process industry.
The use of non-periodic measurement updates is a requirement when PID control is done utilizing wireless transmitters.
Recent development of PID modifications have been demonstrated that improve recovery from process saturation and to allow non-periodic measurement updates from wireless devices to be used in control. Further research into the performance provided by these modifications would be of interest.
Based on the achieved results it seems very probable that in the next few years PID control will get smarter and continue to be the main workhorse of the process industry control.