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Switching robust control for ozone generators using the attractive ellipsoid method.

T Poznyak1, I Chairez2, C Perez3

  • 1ESIQIE-IPN, Mexico.

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Summary
This summary is machine-generated.

This study designs robust tracking feedback for ozone generators, treating them as switched systems with uncertainties. The attractive ellipsoid method ensures practical stability and minimizes tracking errors, providing reliable ozone generation control.

Keywords:
Dwell-timeEllipsoid methodOzone generatorsPractical stabilitySwitching systems

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Area of Science:

  • Control Systems Engineering
  • Chemical Engineering
  • Nonlinear Dynamics

Background:

  • Corona-effect ozone generators are complex systems susceptible to model uncertainties and external perturbations.
  • Controlling these generators requires robust feedback mechanisms to ensure stable and accurate ozone production.

Purpose of the Study:

  • To design a switching robust tracking feedback controller for a corona-effect ozone generator.
  • To address challenges posed by switched systems with bounded uncertainties and external disturbances.
  • To achieve practical stability and minimize tracking errors in ozone generation.

Main Methods:

  • Modeling the ozone generator as a switched system with three nonlinear dynamic models.
  • Utilizing an extended version of the attractive ellipsoid method (AEM).
  • Deriving sufficient conditions for practical stability using bilinear matrix inequalities (BMIs).

Main Results:

  • The proposed controller achieves practical stability for the ozone generator.
  • The attractive ellipsoid method effectively determines the minimal region for tracking error convergence.
  • Sufficient conditions for system stability were derived and are numerically implementable.

Conclusions:

  • The developed switching robust tracking feedback design is effective for corona-effect ozone generators.
  • The extended AEM provides a robust approach to control uncertain switched systems.
  • This work offers a practical method for enhancing the stability and performance of ozone generation systems.