Guaranteed State Estimation Using a Bundle of Interval Observers with Adaptive Gains Applied to the Induction Machine
Manuel Schwartz1, Stefan Krebs1, Sören Hohmann1
1Institute of Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
This study introduces an interval observer bundle for accurate state estimation in uncertain induction machines, crucial for safety-critical applications. The method refines interval widths for practical, guaranteed results.
Area of Science:
- Electrical Engineering
- Control Systems Theory
- Applied Mathematics
Background:
- Interval observers are vital for guaranteed state estimation in uncertain systems, especially safety-critical ones.
- Traditional interval observers can yield impractically large estimation intervals.
- Existing methods struggle with maintaining accuracy and practicality for time-varying dynamics.
Purpose of the Study:
- To design an interval observer bundle for guaranteed state estimation of uncertain induction machines with linear, time-varying dynamics.
- To improve the usability of interval observers by reducing interval widths for practical applications.
- To develop an adaptive observer gain for optimal state observation and minimal interval width.
Main Methods:
- Design of a reduced-order hybrid interval observer bundle.
- Reinitialization strategy for interval observers during runtime to decrease interval widths.
- Inclusion of unstable observer dynamics to leverage transient behavior while maintaining overall stability.
- Algorithm for determining the parametrization of reduced-order interval observers.
- Introduction of an adaptive observer gain for optimal state observation.
Main Results:
- Demonstrated improved guaranteed enclosure within intervals for magnetizing current estimates.
- Achieved decreasing interval widths through reinitialization strategies.
- Validated real-time capability and effectiveness of the proposed methods.
- Showcased optimal state observation with minimal interval width at variable operating points.
Conclusions:
- The interval observer bundle effectively enhances state estimation accuracy and practicality for uncertain induction machines.
- The adaptive observer gain and reinitialization techniques are key to achieving minimal interval widths and real-time performance.
- The proposed approach offers a robust solution for safety-critical systems requiring guaranteed state estimation.
More Related Videos
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
08:27Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
Published on: January 5, 2024
Related Concept Videos
Multimachine Stability
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Simplified Synchronous Machine Model
In this model, each generator is connected to a...
Three-Phase Short Circuit—Unloaded Synchronous Machine
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
Sequence Networks of Rotating Machines
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Mutual Inductance
When two circuits carrying time-varying currents are close to one another, the magnetic flux through each circuit varies because of the changing current in the other circuit. Consequently, an emf is induced in each circuit by the changing current in the other. Therefore, this type of emf is called...
Wind Turbine Machine Models
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
