Sliding Mode Predictive Control of Flexible Air-Breathing Hypersonic Vehicles

A novel sliding mode control (SMC) strategy based on predictive technique is presented for flexible air-breathing hypersonic vehicles (FAHVs) with uncertainties and constraints. The vehicle dynamics are first introduced and then decoupled into two subsystems including velocity and altitude. Extended state observer (ESO)-based SMC schemes are designed for these two subsystems. For the original vehicle system, the sliding function is first designed using the pole placement technique. Then the sliding mode prediction model is corrected using the uncertainty estimation value. Finally, the constrained sliding mode control law is obtained using the quadratic programming method. A novel SMC system for the FAHV is established, which can handle system constraints and has forceful anti-disturbance ability. Compared with the SMC system based on ESO, the designed system based on predictive technique has advantages in terms of rapidity, control input and chattering. The feasibility and advantages of the presented control procedure are confirmed by simulations.

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Publication Details

Journal
Automatic Control and Computer Sciences
Published
2025-12-01
DOI
https://doi.org/10.3103/s0146411625701263
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
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article

Sliding Mode Predictive Control of Flexible Air-Breathing Hypersonic Vehicles

Weiqiang Tang, Peng Tian, Chengbin Wang, Haiyan Gao
Automatic Control and Computer Sciences
Adaptive Control of Nonlinear Systems
article

Sliding Mode Predictive Control of Flexible Air-Breathing Hypersonic Vehicles

Weiqiang Tang, Peng Tian, Chengbin Wang, Haiyan Gao
article en

Abstract

A novel sliding mode control (SMC) strategy based on predictive technique is presented for flexible air-breathing hypersonic vehicles (FAHVs) with uncertainties and constraints. The vehicle dynamics are first introduced and then decoupled into two subsystems including velocity and altitude. Extended state observer (ESO)-based SMC schemes are designed for these two subsystems. For the original vehicle system, the sliding function is first designed using the pole placement technique. Then the sliding mode prediction model is corrected using the uncertainty estimation value. Finally, the constrained sliding mode control law is obtained using the quadratic programming method. A novel SMC system for the FAHV is established, which can handle system constraints and has forceful anti-disturbance ability. Compared with the SMC system based on ESO, the designed system based on predictive technique has advantages in terms of rapidity, control input and chattering. The feasibility and advantages of the presented control procedure are confirmed by simulations.

Automatic Control and Computer SciencesVol. 59(6)
Lanzhou University of Technology (CN), Xiamen University of Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Adaptive Control of Nonlinear Systems
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