Abstract
This paper investigates depth and heading control of an underactuated autonomous underwater vehicle (AUV) subject to hard thruster limits and allocation constraints. A classical sliding-mode controller with boundary layer (SMC-sat) is compared against a backstepping sliding-mode variant (BS-SMC-sat), in which the sliding surface is shaped via a first-order backstepping step and augmented with proportional damping. Both controllers employ an identical allocation-aware anti-windup mechanism, implemented as a leaky back-calculation driven by the allocation shortfall △τ returned by the thruster allocator. The BlueROV2 (Heavy) heave–yaw slice is used as a realistic benchmark with smooth multi-step reference commands. Three operating scenarios are examined: nominal, matched-step disturbances, and a combined parameter-mismatch/tight-actuation stress test (reduced thruster ceilings and perturbed inertial/damping offsets). Under nominal conditions, both controllers achieve comparable tracking performance with negligible control effort and a saturation duty of <3%. Under disturbances, BS-SMC-sat reduces depth RMSE by ≈66% and heading RMSE by ≈65% relative to SMC-sat, while cutting yaw effort by ≈10%. Under parameter mismatch and tighter actuation, BS-SMC-sat remains robust, lowering RMSE by ≈31% (depth) and ≈72% (heading) with effort essentially unchanged. These results demonstrate that allocation-driven anti-windup is essential when limits are active, and modest backstepping shaping of the sliding surface markedly improves disturbance rejection and robustness without increasing control activity.
| Original language | English |
|---|---|
| Pages (from-to) | 14675-14688 |
| Number of pages | 14 |
| Journal | IEEE Access |
| Volume | 14 |
| DOIs | |
| State | Published - 2026 |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Keywords
- AUV
- actuator limit
- actuator saturation
- anti-windup
- backstepping
- disturbance rejection
- sliding mode control
- thruster allocation
ASJC Scopus subject areas
- General Computer Science
- General Materials Science
- General Engineering
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