Robust Sensor-Limited Control with Safe Input-Output Constraints for Hydraulic In-Wheel Motor Drive Mobility Systems
Mehdi Heydari Shahna, Pauli Mustalahti, Jouni Mattila

TL;DR
This paper introduces a robust control framework for hydraulic in-wheel motor drives in heavy-duty mobile robots, ensuring safe operation under disturbances and sensor limitations through adaptive barrier Lyapunov functions.
Contribution
It develops a novel RTOVC strategy with adaptive BLFs for safe, robust velocity tracking in hydraulic IWDs, addressing sensor limitations and uncertainties.
Findings
Validated on a 6,500-kg HWMR with four IWDs
Ensures safety constraints under intense disturbances
Achieves robust velocity tracking with stability
Abstract
In-wheel drive (IWD) systems enhance the responsiveness, traction, and maintenance efficiency of vehicles by enabling each wheel to operate independently. This paper proposes a novel robust torque-observed valve-based control (RTOVC) framework to address velocity tracking in hydraulic IWDs that actuate heavy-duty wheeled mobile robots (HWMRs), considering such challenges as wheel slippages, sensor limitations, rough terrains, and modeling uncertainties. To overcome the sensor-dependent control systems associated with the closed-loop torque/pressure in hydraulic IWD-actuated HWMRs, a robust observer network based on an adaptive barrier Lyapunov function (BLF) is proposed to estimate the required in-wheel motor torque to track the velocity references. Then, another adaptive BLF for valve control signals is employed to modulate the hydraulic fluid to generate the estimated torque for each…
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Taxonomy
TopicsHydraulic and Pneumatic Systems · Iterative Learning Control Systems · Control Systems in Engineering
