Hardware-in-the-Loop Simulator of an Off-Road Vehicle Electrohydraulic Steering System

Zhang, Q.; Reid, John F.; Wu, Duqiang

doi:10.13031/2013.3029

Cited by 26 publications

(13 citation statements)

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“…This technique is called Hardware-In-the-Loop (HIL) simulation (Lhomme et al 2007). This evaluation method is commonly used in the field of aerospace (Leitne 1996;King, Kuwata and How 2006) and automotive applications (Suh, Chung, Seok and Kim 2000;Zhang, Reid and Wu 2001). Thus the clutch is activated as in an actual vehicle and experimental results will be used to check the control of the vehicle.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…Its precise modelling is thus a key issue in the development of real-time controls, which require efficient and simple controllers for practical implementation. Indeed, if the model is not well defined more complex controllers and advanced control laws are required, often leading to a more important computation time (Zupancic, Karba, Matko and Atanasijevic-Kunc 1993).…”

Section: Introductionmentioning

confidence: 99%

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Inversion-based control of a vehicle with a clutch using a switched causal modelling

Lhomme

Trigui²,

Bouscayrol

et al. 2010

International Journal of Systems Science

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The modelling of a clutch in a power train transmission is a delicate process because of its non-linear behaviour. Two different states have to be taken into account: when the clutch is locked and when the clutch is slipping. Moreover the clutch has often to be controlled automatically in parallel hybrid electric vehicles (HEVs). An energetic macroscopic representation (EMR) of a clutch system has been developed. Both clutch states are genuinely taken into account in a physical way. In this article, EMR leads to organise the control scheme of the clutch system using an inversion methodology. An experimental validation is provided on a conventional vehicle before being implemented on parallel HEVs. Experimental results are provided to validate the clutch model and the inversion-based control.

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Section: Experimental Set-upmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Lhomme

Trigui²,

Bouscayrol

et al. 2010

International Journal of Systems Science

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“…HIL systems have been used for years for a rapid prototyping in different applications [7,8,9,10,11]. Most of the studies present their setups and demonstrate the performance by giving experimental results.…”

Section: Introductionmentioning

confidence: 99%

Dynamic performance of mechanical-level hardware-in-the-loop simulation

Lindh

Montonen

Niemelä

et al. 2014

2014 16th European Conference on Power Electronics and Applications

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This paper discusses dynamic behavior, stability and performance issues of the mechanical-level hardware-in-the-loop (MHIL) simulation. A special interest is in the cases where a real-time multibody mechanics simulator is used to produce load dynamics to HIL hardware. The transfer functions describing the HIL system dynamics are created and presented. The analysis using transfer functions, the simulation results and test results using actual MHIL simulation are presented. The analysis shows that the performance and stability of the device under test cannot be concluded without case by case analysis of HIL-setup as a whole.

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“…Providing accurate operator control buttons and levers is important (Shiguang, Xu, Xiumin, & Qichang, 2011), and it is interesting to note that the use of a motion base for accurate pilot immersion has been rendered obsolete in the newest form of pilot training, aircraft drones. The importance of including hardware-in-the-loop during the design and development of automatic systems has been demonstrated, and realistic operator interfaces have been used to both design the control laws and verify the way that humans interact with the automation (Zhang, Reid, & Wu, 2000). Typically, these implementations use a custom-developed computer and data acquisition system as the interface between the operator input hardware and the test system hardware (Yoon, Cho, Kang, Koo, & Yi, 2010).…”

Section: Introductionmentioning

confidence: 99%

GREENSPACE: Virtual Reality Interface for Combine Operator Training

Luecke

2012

Presence: Teleoperators and Virtual Environments

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The complexity of operating a farm combine has increased dramatically in recent years with the introduction of features including automatic guidance, precision farming, and sophisticated implements with specialized controls. In this work, we describe the development of a virtual reality interface for use in operating a combine while harvesting virtual crops. Using the actual combine cab hardware for control input commands and operational displays, we provide a virtual farm that allows the operator to operate every aspect of the combine while using the true set of buttons, levers, and switches for a realistic driving experience. This simulator is designed primarily for operator training on the adjustment and operation of the machine controls, the use of automatic guidance systems, and interaction with the precision farming automation systems. However, the simulator is also applicable for engineering design development, where new control modes and hardware could be assessed in a virtual environment. GREENSPACE: Virtual Reality Interface for Combine Operator Training AbstractThe complexity of operating a farm combine has increased dramatically in recent years with the introduction of features including automatic guidance, precision farming, and sophisticated implements with specialized controls. In this work, we describe the development of a virtual reality interface for use in operating a combine while harvesting virtual crops. Using the actual combine cab hardware for control input commands and operational displays, we provide a virtual farm that allows the operator to operate every aspect of the combine while using the true set of buttons, levers, and switches for a realistic driving experience. This simulator is designed primarily for operator training on the adjustment and operation of the machine controls, the use of automatic guidance systems, and interaction with the precision farming automation systems. However, the simulator is also applicable for engineering design development, where new control modes and hardware could be assessed in a virtual environment.

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Hardware-in-the-Loop Simulator of an Off-Road Vehicle Electrohydraulic Steering System

Cited by 26 publications

References 0 publications

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Dynamic performance of mechanical-level hardware-in-the-loop simulation

GREENSPACE: Virtual Reality Interface for Combine Operator Training

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