160 likes | 358 Views
Hur får man system att uppföra sig som man vill? Reglerteknik och intressanta tillämpningar. Carl-Fredrik Lindberg, 2013-04-25. Single and Double Inverted Pendulum Movie found on internet http:// vimeo.com/2952236. Automatic Control (“ Reglerteknik ” in Swedish ).
E N D
Hur får man system att uppföra sig som man vill? Reglerteknik och intressanta tillämpningar Carl-Fredrik Lindberg, 2013-04-25
Single and Double Inverted PendulumMovie found on internet http://vimeo.com/2952236
Automatic Control (“Reglerteknik” in Swedish) Modeling the tank dynamics Tuning the PID controller • Automatic control gives: • Stability • Fast disturbance rejection • Small variations in controlled variables • Etc.
How a control engineer sees the world Non measureable disturbances Measureable disturbances Feed-forward Measurement noise Set-points Controller Process Measured outputs Control signals Σ Feedback
Automatic Control • Modeling • Physical models, grey-box, black-box, … • Controller design • Feedback, feedforward, stability, performance, robustness, adaptive, … • Estimation • States, model parameters, … • Diagnostics • Fault detection and isolation, … • Optimization
EM Stabilizer in Galvanizing Lines Stabilization of strip gives reduced zinc over-coating
EM Stabilizer in Galvanizing Lines Improved strip position damping with EM Stabilizer
Water model EM Control Control of the steel flow in the mold gives higher steel quality Continuous casting process Validation of model with PIV measurements in water model Simulation of the flow
Paper Machine Steam Energy Fingerprint By quantifying steam flows and identifying energy waste, suggestions on how to improve energy efficiency are given
Arc Furnace Control By control, optimization and EMS, the yield, energy efficiency and productivity is increased
SVC Voltage Control with FeedforwardImproved disturbance rejection after TSC switching
Wireless Control • New possibilities with wireless control • Increased flexibility to install sensors • Cost for wiring disappears • Large challenges • Reliability • Latency • Safety • Co-existence with other wireless systems • 90% of the communication could often be saved by smarter sampling • Different sampling strategies have been developed • Sample as seldom as possible without losing control performance • Taking into account that information packages may be delayed or lost
Diagnostics Process section diagnostics • Faults are both detected and isolated • Fault examples: • Detection of bias in a sensor • Detection of clogging of a valve • Detection of erosion in a pump • Track heat transfer rate in heat exchanger • Benefits: • Early detection gives higher availability • Reduced maintenance costs. • Avoids wrong dosing when sensor has drifted. Control loop diagnostics • On-line methods which automatically alarms for poor control loop performance. • Examples • Detection of oscillations and changed signal variance. • Control performance measurements, Harris index etc. • Classification of some faults, e.g. valve stiction, external disturbances. Example of fault isolation. The red bar indicates the most probable faulty signal.
Waste Water TreatmentSome examples from my Ph.D. Adaptive control of external carbon flow rate Control of dissolved oxygen concentration Estimation of dissolved oxygen dynamics