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Published byDwight Gilmore Modified over 8 years ago
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Anti-Slug Control Experiments Using Nonlinear Observers
The thematic content of the series: 1 Facts Revenue from the last two years; Localization; History and surroundings 2 Research Six strategic areas; Three Centres of Excellence; Laboratories; Cooperation with SINTEF; 3 Education and student activities Study areas and programmes of study; Quality Reform; Further- and continuing education; Internationalization 4 Innovation and relationships with business and industry Innovative activities; Agreements with the public and private sectors 5 Dissemination Publications, events and the mass media Museum of Natural History and Archaeology, NTNU Library 6 Organization and strategy Board and organization; Vision, goal and strategies; For more on terminology, see (“terminologiliste”) See also (”Selected administrative terms with translations”) Anti-Slug Control Experiments Using Nonlinear Observers Esmaeil Jahanshahi, Sigurd Skogestad, Esten I. Grøtli Norwegian University of Science & Technology (NTNU) American Control Conference - June 17th 2013, Washington, DC
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Outline Introduction Motivation Modeling Observer design
Unscented Kalman Filter (UKF) High-Gain observe Fast UKF State-feedback Experimental results Controllability limitation
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Introduction * figure from Statoil
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Slug cycle (stable limit cycle)
Experiments performed by the Multiphase Laboratory, NTNU
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Introduction Anti-slug solutions Conventional Solutions:
Choking (reduces the production) Design change (costly) : Full separation, Slug catcher Automatic control: The aim is non-oscillatory flow regime together with the maximum possible choke opening to have the maximum production
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Motivation Objective: using topside pressure for control
PT PC uz Pt,s Motivation Objective: using topside pressure for control Problem 1: Nonlinearity Additional Problem 2: Unstable zero dynamics (RHP-zero) MS=5.87, MT=6.46
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Solution?! PT Nonlinear observer K State variables uc Pt Questions: Is this solution applicable for anti-slug control? Can observer bypass fundamental limitations? Which kind of observer is suitable? Experiments
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Modeling
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Modeling: Simplified 4-state model
θ h L2 hc wmix,out x1, P1,VG1, ρG1, HL1 x3, P2,VG2, ρG2 , HLT P0 Choke valve with opening Z x4 h>hc wG,lp=0 wL,lp L3 wL,in wG,in w x2 L1 State equations (mass conservations law):
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Experiments 3m
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Bifurcation diagrams Top pressure Subsea pressure Gain = slope
Experiment Bifurcation diagrams Top pressure Subsea pressure Gain = slope
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Observer Design
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1. Unscented Kalman Filter
Nonlinear plant: (1) Prediction step:
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1. Unscented Kalman Filter (UKF)
(2) Update step: (3) Correction step:
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2. High-Gain Observer
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2. High-Gain Observer where
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3. Fast UKF Nonlinear model with transformed states:
This is the high-gain observer without the observer term, therefore we do not need to specify the observer gain manually. High-gain Strategy: Large Qk and small Rk increase the UKF gain UKF gain: - Scaling of states and measurement in the model
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State Feedback Kc : a linear optimal controller calculated by solving Riccati equation Ki : a small integral gain (e.g. Ki = 10−3)
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Experimental Results
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High-gain observer – top pressure
Experiment High-gain observer – top pressure measurement: topside pressure valve opening: 20 %
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Experiment Fast UKF – top pressure measurement: topside pressure valve opening: 20 %
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High-gain observer – subsea pressure
Experiment High-gain observer – subsea pressure measurement: topside pressure valve opening: 20 %
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PI Controller – subsea pressure
Experiment PI Controller – subsea pressure measurement: subsea pressure valve opening: 40 %
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Linear observer (KF) – subsea pressure
Experiment Linear observer (KF) – subsea pressure measurement: subsea pressure valve opening: 40 %
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Summary of experiments
Stabilizing Control Method \ CV Subsea pressure Top Pressure Linear Controllers (PI, H∞) Working Not Working Fast Linear Observer Fast Nonlinear Observer Not Working??!* Slow Nonlinear Observer Not Robust* Max. Valve 40% 20% * Estimation works (open-loop), but slow * Estimation also not working
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Chain of Integrators Fast nonlinear observer using subsea pressure: Not Working??! Fast nonlinear observer (High-gain) acts like a differentiator Pipeline-riser system is a chain of integrator Measuring top pressure and estimating subsea pressure is differentiating Measuring subsea pressure and estimating top pressure is integrating
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Controllability limitation – top pressure
Measuring topside pressure we can stabilize the system only in a limited range RHP-zero dynamics of top pressure Z = 20% Z = 40% Ms,min 2.1 7.0
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Conclusions Nonlinear observers work only when measuring topside pressure This works in a limited range (valve opening) A fast observer is needed for stabilizing control Fast nonlinear observers fail when measuring subsea pressure Observer can counteract nonlinearity But cannot bypass fundamental limitation (non-minimum-phase system) Thank you!
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