Abstract

This paper presents the design, modeling, and control of a hardware-in-the-loop (HIL) testbed for off-road vehicles. The proposed HIL testbed employs a transient hydrostatic dynamometer to load a diesel engine to emulate any loading cycles of a wheel loader, which is a representative off-road vehicle. A fully validated wheel loader model is used to calculate the engine load, including both the drive and work functions. Besides, iterative learning control (ILC) has been designed for the loading torque tracking of the hydrostatic dynamometer to ensure accurate emulation of real-world operation scenarios. The developed HIL testbed is used to demonstrate more than 26% energy benefits of automated wheel loaders through systematic optimization compared with human-operated wheel loaders. This HIL testbed serves as a robust platform for advancing research and development across various off-road vehicles, including excavators, tractors, and harvesters.

Issue Section:
Research Papers
Keywords:
hardware-in-the-loop, off-road vehicles, iterative learning control, automotive systems, fluid power control
Topics:
Control equipment, Cycles, Design, Engines, Hardware, Off-road vehicles, Torque, Dynamometers, Wheels, Iterative learning control, Control modeling, Hydrostatics

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