Practical prescribed-time output tracking control of uncertain nonaffine systems with input saturation based on time
Yicong Lin1, Chaoyang Dong2, Qing Wang3
1School of Aeronautic Science and Engineering, Beihang University, Beijing, 100191, China.
ISA Transactions
|April 28, 2025
Summary
This study introduces practical prescribed-time tracking control for uncertain systems with input saturation. The new method ensures system stability and fast error convergence within a user-defined time, demonstrated on an F-16 aircraft model.
Area of Science:
- Control Systems Engineering
- Aerospace Engineering
- Nonlinear Control Theory
Background:
- Active disturbance rejection control (ADRC) is crucial for system adaptability.
- Uncertain nonaffine systems with input saturation pose significant control challenges.
- Prescribed-time control offers finite-time convergence within a user-defined settling time.
Purpose of the Study:
- To extend active disturbance rejection control to uncertain nonaffine systems with input saturation.
- To achieve practical prescribed-time (PPT) tracking control.
- To develop a robust control strategy that addresses nonaffine dynamics and input constraints.
Main Methods:
- Design of a practical prescribed-time (PPT) nonlinear extended state observer (NLESO) based on time base generators (TBG).
- Development of a TBG-based saturation control law utilizing PPT NLESO outputs.
- Mathematical proof of local PPT convergence for the closed-loop system under input saturation.
Main Results:
- The proposed PPT NLESO effectively estimates states and uncertainties while suppressing peaking.
- The TBG-based control law achieves PPT output tracking for nonaffine systems with saturation.
- Numerical and semi-physical simulations on an F-16 aircraft validate the method's efficacy and superiority.
Conclusions:
- The developed control strategy enhances adaptability for uncertain nonaffine systems with input saturation.
- The method guarantees practical prescribed-time convergence, driving tracking errors to a small neighborhood.
- The approach demonstrates significant potential for real-world applications, particularly in aerospace control systems.
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