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Disturbance-Observer-Based U-Control (DOBUC) for Nonlinear Dynamic Systems.

Ruobing Li1, Quanmin Zhu1, Jun Yang2

  • 1Department of Engineering Design and Mathematics, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK.

Entropy (Basel, Switzerland)
|December 24, 2021
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Summary
This summary is machine-generated.

This study introduces a Disturbance Observer-Based control framework using U-models for enhanced nonlinear system performance. The novel approach improves disturbance attenuation and achieves global exponential stability in systems like Wind Energy Conversion Systems.

Keywords:
U-controlU-modeldisturbance-observer-based U-control (DOBUC)disturbance-observer-based control (DOBC)

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Area of Science:

  • Control Systems Engineering
  • Nonlinear Dynamics
  • Robotics and Automation

Background:

  • Classical Disturbance Observer-Based Control (DOBC) methods often struggle with the complexities of nonlinear systems.
  • U-models offer unique properties for nonlinearity dynamic inversion and cancellation, presenting an opportunity for improved control strategies.
  • Enhancing disturbance attenuation is crucial for robust performance in various engineering applications.

Purpose of the Study:

  • To propose a general Disturbance Observer-Based U-Control (DOBUC) framework.
  • To improve the disturbance attenuation capabilities of U-controllers for both linear and nonlinear systems.
  • To expand classical linear DOBC to general nonlinear systems using U-model-based dynamic inversion.

Main Methods:

  • Development of a general DOBUC framework integrating U-models with dynamic inversion.
  • Implementation of a two-step design procedure for independent DOB and U-controller design.
  • Validation through comparative simulations with Nonlinear DOBC on Wind Energy Conversion Systems (WECS) and Permanent Magnet Synchronous Motors (PMSM).

Main Results:

  • The proposed DOBUC framework demonstrates enhanced disturbance attenuation capabilities.
  • The independent design procedure enables the establishment of global exponential stability, independent of disturbances and uncertainties.
  • Simulations show superior performance compared to Nonlinear DOBC in controlling WECS and PMSM.

Conclusions:

  • The DOBUC framework effectively improves the performance of nonlinear systems by enhancing disturbance rejection.
  • The method provides a robust and stable control solution applicable to complex linear and nonlinear systems.
  • This approach represents a significant advancement in extending DOBC to general nonlinear control applications.