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Global energy-optimised redundancy resolution in hydraulic manipulators using dynamic programming

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Global energy-optimised redundancy resolution in hydraulic manipulators using dynamic programming. / Nurmi, Jarmo; Mattila, Jouni.

In: Automation in Construction, Vol. 73, No. January 2017, 01.2017, p. 120-134.

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Nurmi, Jarmo ; Mattila, Jouni. / Global energy-optimised redundancy resolution in hydraulic manipulators using dynamic programming. In: Automation in Construction. 2017 ; Vol. 73, No. January 2017. pp. 120-134.

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@article{25e94d237dc64fe487c6bf558665eb16,
title = "Global energy-optimised redundancy resolution in hydraulic manipulators using dynamic programming",
abstract = "This paper addresses the problem of redundancy resolution in closed-loop controlled hydraulic manipulators. The problem is treated at the hydraulic level using proposed cost functions formulated into a dynamic programming approach of minimum-state representation. Bounds on joint range, actuator velocity and acceleration were enforced. This approach minimises the hydraulic energy consumption of the widely popular load-sensing and constant-supply pressure systems. The presented approach can resolve the redundancy more effectively from the hydraulic side than do actuator velocity or energy optimisation approaches, point-wise optimal approaches or some standard direct optimisation tools that may lead to inferior solutions, as shown in simulation results where up to 15–30{\%} greater energy use is seen with some competing approaches. The results obtained motivate joint trajectory optimisation at the hydraulic level in prospective applications at construction sites where frequently driven work cycles of hydraulic construction cranes are automated.",
author = "Jarmo Nurmi and Jouni Mattila",
year = "2017",
month = "1",
doi = "10.1016/j.autcon.2016.09.006",
language = "English",
volume = "73",
pages = "120--134",
journal = "Automation in Construction",
issn = "0926-5805",
publisher = "Elsevier",
number = "January 2017",

}

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TY - JOUR

T1 - Global energy-optimised redundancy resolution in hydraulic manipulators using dynamic programming

AU - Nurmi, Jarmo

AU - Mattila, Jouni

PY - 2017/1

Y1 - 2017/1

N2 - This paper addresses the problem of redundancy resolution in closed-loop controlled hydraulic manipulators. The problem is treated at the hydraulic level using proposed cost functions formulated into a dynamic programming approach of minimum-state representation. Bounds on joint range, actuator velocity and acceleration were enforced. This approach minimises the hydraulic energy consumption of the widely popular load-sensing and constant-supply pressure systems. The presented approach can resolve the redundancy more effectively from the hydraulic side than do actuator velocity or energy optimisation approaches, point-wise optimal approaches or some standard direct optimisation tools that may lead to inferior solutions, as shown in simulation results where up to 15–30% greater energy use is seen with some competing approaches. The results obtained motivate joint trajectory optimisation at the hydraulic level in prospective applications at construction sites where frequently driven work cycles of hydraulic construction cranes are automated.

AB - This paper addresses the problem of redundancy resolution in closed-loop controlled hydraulic manipulators. The problem is treated at the hydraulic level using proposed cost functions formulated into a dynamic programming approach of minimum-state representation. Bounds on joint range, actuator velocity and acceleration were enforced. This approach minimises the hydraulic energy consumption of the widely popular load-sensing and constant-supply pressure systems. The presented approach can resolve the redundancy more effectively from the hydraulic side than do actuator velocity or energy optimisation approaches, point-wise optimal approaches or some standard direct optimisation tools that may lead to inferior solutions, as shown in simulation results where up to 15–30% greater energy use is seen with some competing approaches. The results obtained motivate joint trajectory optimisation at the hydraulic level in prospective applications at construction sites where frequently driven work cycles of hydraulic construction cranes are automated.

U2 - 10.1016/j.autcon.2016.09.006

DO - 10.1016/j.autcon.2016.09.006

M3 - Article

VL - 73

SP - 120

EP - 134

JO - Automation in Construction

JF - Automation in Construction

SN - 0926-5805

IS - January 2017

ER -