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Adaptive twisting sliding mode algorithm for hypersonic reentry vehicle attitude control based on finite-time
Zongyi Guo1, Jing Chang1, Jianguo Guo1
1Institute of Precision Guidance and Control, Northwestern Polytechnical University, 710072, Xi'an, China.
ISA Transactions
|May 1, 2018
Summary
This study introduces adaptive twisting sliding mode control for Hypersonic Reentry Vehicles (HRVs) attitude tracking. The novel approach estimates unknown states and handles disturbances, reducing chattering for improved control.
Area of Science:
- Aerospace Engineering
- Control Systems Theory
- Nonlinear Control
Background:
- Hypersonic Reentry Vehicles (HRVs) face complex attitude tracking challenges.
- Existing adaptive twisting control methods suffer from chattering and struggle with unknown disturbance bounds.
Purpose of the Study:
- To develop an adaptive finite-time observer-based twisting sliding mode control for HRV attitude tracking.
- To address unmeasurable states and unknown disturbance bounds in HRV attitude dynamics.
- To mitigate the chattering phenomenon in adaptive twisting control.
Main Methods:
- Transforming HRV attitude tracking into error dynamics with a matched structure.
- Estimating unmeasurable states using an adaptive finite-time observer.
- Proposing an adaptive twisting algorithm for systems with unknown disturbance bounds.
- Analyzing stability and performance under noisy measurements.
Main Results:
- The proposed observer-based adaptive twisting control guarantees stability for HRV attitude tracking.
- The adaptive gains decrease near the sliding surface, effectively reducing chattering.
- Numerical simulations confirm the approach's effectiveness and benefits for HRVs.
Conclusions:
- The developed control strategy provides robust and chatter-free attitude tracking for HRVs.
- This method offers a significant improvement over existing adaptive twisting techniques.
- The approach is validated for real-world applications involving HRVs and noisy conditions.
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