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Summary

This study introduces a new control method for nonlinear systems with actuator faults and input quantization, enhancing response speed and stability. The adaptive fuzzy logic control ensures reliable performance even with partial actuator failures.

Keywords:
Actuator faultFinite-time controlFuzzy logic systemMIMO nonlinear systemQuantitative input

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Area of Science:

  • Control Systems Engineering
  • Nonlinear Dynamics
  • Fuzzy Logic Applications

Background:

  • Multiple-input multiple-output (MIMO) nonlinear systems face challenges from actuator faults and input quantization.
  • Existing control methods often require prior knowledge of control gains or struggle with fault adaptation.

Purpose of the Study:

  • To develop a novel state-feedback control strategy for MIMO nonlinear systems with actuator faults and input quantization.
  • To improve system response speed and robustness against uncertainties and failures.
  • To avoid assumptions about unknown control gains in adaptive control schemes.

Main Methods:

  • Utilizing fuzzy logic systems (FLSs) to approximate uncertain virtual control laws.
  • Implementing finite-time control for enhanced system response.
  • Integrating an adaptive control scheme for partial loss fault gain with input quantization.
  • Employing Lyapunov stability analysis for theoretical validation.

Main Results:

  • The proposed control scheme ensures tracking error convergence and bounded closed-loop signals in finite time, even with system faults.
  • The adaptive strategy successfully estimates unknown fault gain without prior assumptions.
  • Simulation results for a quadrotor unmanned aerial vehicle (UAV) attitude system demonstrate the effectiveness of the proposed method.

Conclusions:

  • The novel state-feedback control method effectively addresses actuator faults and input quantization in MIMO nonlinear systems.
  • The integration of fuzzy logic and finite-time control offers a robust and efficient solution.
  • The approach provides a significant advancement in fault-tolerant control for complex dynamic systems like UAVs.