© abb corporate research insert image here control performance monitoring alf isaksson, alexander...
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![Page 1: © ABB Corporate Research Insert image here Control Performance Monitoring Alf Isaksson, Alexander Horch ABB Corporate Research PROST Seminar 22 January](https://reader036.vdocument.in/reader036/viewer/2022070414/5697c0041a28abf838cc4395/html5/thumbnails/1.jpg)
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Control Performance Monitoring
Alf Isaksson, Alexander Horch
ABB Corporate Research
PROST Seminar 22 January 2002
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Goal: detect and diagnose malfunctioning control loops
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Bad control manifests itself as
oscillation or too high variance
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Methods needed to
detect oscillations
diagnose oscillations
determine of variance is too large
Since there are hundreds of loops methods should be automatic
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Oscillation detection
Hägglund (1995). Consider areas between zero crossings (count if large enough).
Stattin and Forsman (1998). Based on same idea, easier to use. Seborg and Miao (1999). Damping ratio of auto-correlation function.
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Stattin index: Compare areas between zero crossings
A0 A1
B0
B1
t0 t1 t2 t3 t4
e(t)
0 1
0 1
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Oscillation index
0.88 0.25Controller re-tuned
0 = no oscillation, 1 = perfect osc.
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Oscillation index trend plot
days
index
Valve IP converter replaced
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Major advantage: correlation analysis
0 0.2 0.4 0.6 0.8 1
0
0.2
0.4
0.6
0.8
1
osci
llatio
n lo
op 2
oscillation loop 1
Conclusion:Conclusion:
The loops The loops interact. One of interact. One of them is likely to them is likely to cause both cause both oscillations oscillations
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Potential causes are...
F
FC
static friction
cycling load
tight tuning
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If the cause is stiction...
process output
control signalcross-correlation
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If the cause is NOT stiction...
process output
control signalcross correlation
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Stiction diagnosis
New method by Horch (1999) which utilizes that
when stiction in valve, process variable and control signal have odd cross-correlation
when ”not stiction” the signals are such that the cross-correlation is even (due to negative feedback)
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Example: two coupled loops
F
FC
Q
QC
water
pulp
Stiction
O.K.
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Example cont’dda
ta
concentration loop flow loop
cros
s-co
rr.
Diagnosis: stiction no stiction
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Important assumptions
Cross-correlation
method O.K.
O
Oscillation detectedSelf-regulating process
dtte )(
Integral action
No compressible media
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Example II: integrating plant
no stictionno stiction
two different level control loops
no stictionno stictionstictionstiction
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CCF-method useless for integrating plants!
Integration destroys the specific correlation in the stiction case.
CCF is even, no matter if stiction or not.
Re-calculation (differentiation) does not solve the problem
level control loop
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Idea!
Look for discontinuities in the data!
...
...‘Second derivative is infinite’
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1.) Differentiate the process output!
stiction
Y
dy
dt
d2ydt2
no stiction
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3a.) Histogram (ideally)
no stiction
d2y
dt2
stiction
d2y
dt2
)(
122 xA
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3b.) Histogram (noise & filter)
no stiction
d2y
dt2
stiction
d2y
dt2
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Level control with stiction
MSE: 0.97 2.01
d2y
dt2
y(t)
stiction
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Level control without stiction
MSE: 1.17 0.46
y(t) d2y
dt2
no stiction
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Use Camel method also for self-regulating processes!
stiction no stiction
Y
dy
dt
d2ydt2
Y
Y’
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Detect too large variance (too large 2-sigma)
Is this good or bad?
Basic problem: 2σ
-2σ
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Performance index
Possible to calculate denominator from normal operating data given knowledge of process time delay (deadtime).
Proposed by Harris (1989).
Modification presented in Horch and Isaksson (1999)
• Introduce a control performance measure:
Current varianceTheoretically opt
variance
Ip =
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Before:
After:
Modified Index:
2.11
1.07
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Commercial tools / suppliers ...
LoopMD
KCL-CoPA
ABB
LoopAnalyst PROTUNER™
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LATTS – Loop Auditing and Tuning Tool Suite
Process model identification
PID controller tuning
Loop auditing
Part of ABB Industrial IT concept and uses the new Aspect Integrator Platform (AIP).
Consists of three Aspects:
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Process Model Identification Aspect
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PID Controller Tuning Aspect
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Auditing Aspect
Computes 21 different quantities/indices. For example:
Control error standard deviation
Oscillation index
Stiction diagnosis (correlation)
Stiction diagnosis (histogram)
Modified Harris index
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Auditing Aspect cont’d
Combines these indices to test a number of hypotheses, such as
Acceptable performance
Possible valve problem
Sluggish tuning
The result is summarized in a report, either as a text file or in Internet Explorer
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Auditing -- Index trend plots
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Auditing -- Report
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Conclusions
New ABB Product LATTS under Beta testing right now. Product release approximately June 2002.
Methods exist for non-invasive
Oscillation detection
Stiction diagnosis
Minimum variance benchmark
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Future work (industrial as well as academic)
detection and diagnosis of mill-wide oscillations
distinction of linearly and non-linearly caused oscillations
performance assessment based on full process model (event-triggered estimation)
application of multivariable performance index
performance monitoring of MPC loops
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