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This study introduces a composite control strategy combining piecewise sliding control (P-SMC) and active disturbance rejection control (ADRC) for optical attitude control systems. The novel approach enhances response speed and robustness against disturbances and uncertainties.

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Area of Science:

  • Aerospace Engineering
  • Control Systems Theory
  • Robotics

Background:

  • Optical attitude control systems face challenges with dynamic disturbances and internal uncertainties, impacting response speed and robustness.
  • Conventional control methods often struggle with chattering and overshoot, limiting performance in highly dynamic environments.

Purpose of the Study:

  • To develop a composite control strategy for optical attitude control systems that improves response speed and robustness.
  • To address limitations of existing methods by integrating novel control techniques and optimization algorithms.

Main Methods:

  • A composite control strategy integrating piecewise sliding control (P-SMC) with improved active disturbance rejection control (ADRC).
  • Utilizing an extended state observer (ESO) based on the EKF for rapid state observation and Nonlinear State Error Feedback (NLSEF) for disturbance compensation.
  • Implementing a novel P-SMC law to mitigate chattering and overshoot, coupled with particle swarm optimization (PSO) for parameter tuning.

Main Results:

  • The proposed strategy demonstrated superior performance in response speed, overshoot reduction, settling time, and control input smoothness compared to conventional algorithms.
  • Validated effectiveness through MATLAB simulations under diverse disturbances, showing enhanced stability and robustness against system uncertainties and sensor noise.
  • Achieved bounded-error steady-state tracking against multi-source disturbances while maintaining high real-time responsiveness.

Conclusions:

  • The composite P-SMC and ADRC strategy offers a significant advancement in optical attitude control system performance.
  • The integration of advanced control techniques and optimization provides a robust solution for dynamic and uncertain environments.
  • This approach enhances system reliability and efficiency for critical aerospace applications.