Fuel Optimal Controller for Hydrostatic Drives: A Simulation Study and Model Validation

Backas, Joni; Ghabcheloo, Reza; Hyvönen, Mika; Huhtala, Kalevi

doi:10.1115/fpmc2014-7808

Cited by 3 publications

(2 citation statements)

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“…The SA system was implemented as a proof-of-concept demonstration and it was first developed and tested using a multi-machine simulator based on the GIM mobile machine HIL-simulator utilized in many research cases [43]- [45]. After the simulator tests, the complete SA system implementation was tested at the mobile machine test platform of Tampere University of Technology (TUT).…”

Section: Sa System Implementation and Integration Testingmentioning

confidence: 99%

Assistive Situation Awareness System for Mobile Multimachine Work Environments

Hyvönen

Rajala

Virtanen

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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Mobile multimachine work environments, in general, consist of varying types of machines driving across a site to complete a moving or manipulation task. As the view from the machines over the environment can be limited due to the structure of the machines, the environment, and the moved/manipulated items, there is a risk of collision between machines. In this paper, we propose a situation awareness system aimed as a driver/operator assistive system to enhance the safety and efficiency of multimachine work environments. The system consists of the pose estimation of the machines, the M2M communication based on IEEE 802.11p, the future pose prediction of the machines, and a graphical user interface. The system is designed to be general enough to be applicable in diverse work environments, which is most easily implemented as a retrofit for existing machines. In this paper, the implementation of the system presented is a proof of concept, and the focus is on how the overall system works in a real harbor environment during operation, ultimately aiming for the collision avoidance of harbor machines. The field tests show promising results, particularly regarding the applicability of the M2M communication technology in a very challenging and uncertain harbor environment.

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Section: Sa System Implementation and Integration Testingmentioning

confidence: 99%

Assistive Situation Awareness System for Mobile Multimachine Work Environments

Hyvönen

Rajala

Virtanen

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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“…Control method to mobile machine power transmission(Huova et al, 2010;Linjama et al, 2007;Ahopelto et al, 2013Ahopelto et al, , 2011Backas et al, 2014Backas et al, , 2011Backas et al, , 2016 …”

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confidence: 99%

Autonomous energy efficient wheel loader research at TUT

Huhtala

2018

IJHM

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Future worksites will be occupied by different level of automation work machines. How these machines are working individually and how a fleet of these machines cooperates will be in focus of research and development work in the future. In this paper the studied off-road vehicle is a wheel loader. It can be controlled manually, remotely or autonomously. The control strategy of autonomous wheel loader is consisting of, e.g., static and dynamic mapping, path planning, obstacle observation and avoidance. In the autonomous machines and also in machines where operator assistance system is active the situational awareness is the key research field. Power management in hydraulic work machines are still active fields of research. Multiple architectures and configurations have been suggested concerning this area. In addition, implemented solutions that consider an entire machine are rarely presented. This paper introduces the research work of the control systems which are minimising the fuel consumption.

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