Optimized Mobile Crane Path Planning in Discretized Polar Space

2021 ◽  
Vol 147 (5) ◽  
pp. 04021036
Author(s):  
Ali Mousaei ◽  
Hosein Taghaddos ◽  
Ala Nekouvaght Tak ◽  
Saeed Behzadipour ◽  
Ulrich Hermann
1998 ◽  
Vol 64 (618) ◽  
pp. 487-494 ◽  
Author(s):  
Akihiro KANESHIGE ◽  
Kazuhiko TERASHIMA ◽  
Makio SUZUKI ◽  
Rei YIN

2002 ◽  
Vol 17 (6) ◽  
pp. 439-448 ◽  
Author(s):  
H. Raghunatha Reddy ◽  
Koshy Varghese
Keyword(s):  

2015 ◽  
Vol 141 (2) ◽  
pp. 05014016 ◽  
Author(s):  
Zhen Lei ◽  
SangHyeok Han ◽  
Ahmed Bouferguène ◽  
Hosein Taghaddos ◽  
Ulrich Hermann ◽  
...  

2016 ◽  
Vol 43 (6) ◽  
pp. 542-552 ◽  
Author(s):  
Weijun Ren ◽  
Zifeng Wu ◽  
Lei Zhang

Ensuring the safety and efficiency of crane operation is challenging due to the complexity of the lifting operation. The real-time lifting path planning system developed in this paper aims to provide an optimized, collision-free lifting path for mobile crane operators. The first contribution of the developed system is to take advantage of crane mounted sensors and components as the hardware to collect object information. No additional device needs to be purchased. Secondly, the data storage, path planning, optimizing, and visualizing functions are designed to minimize the required computer memory so that the system can be installed and applied on the crane mounted controller for real-time operation. No additional calculation capacity is required. This system has been tested in real construction sites and demonstrated its ability to generate lifting paths satisfying operators’ expectation. The system, as an independent software package, can be installed on any mobile cranes mounted with the necessary hardware.


2021 ◽  
Vol 122 ◽  
pp. 103508
Author(s):  
Navid Kayhani ◽  
Hosein Taghaddos ◽  
Ali Mousaei ◽  
Saeed Behzadipour ◽  
Ulrich Hermann

2008 ◽  
Vol 2 (2) ◽  
pp. 131-140 ◽  
Author(s):  
Akihiro Kaneshige ◽  
◽  
Shigeo Hasegawa ◽  
Kazuhiko Terashima ◽  

The purpose of this paper is to present a method to establish an autonomous mobile crane system which includes on-line obstacle recognition, path planning by on-line and suppression of sway of the transferred object. The system consists of three different parts: a visual system, a planning system and a control system. In the visual system, ultra sonic sensor is used to renew small part of environmental map during the transferring taking advantage of quick scanning time. In the planning system, proposed on-line path planning method is used in an artificial potential field based on the solution of the Laplacian differential equation. This path planning method can correspond to minor changes in the transportation environment during transportation. The on-line path planning has been accomplished by regenerating the updated potential field. In the control system, feed-forward controller by means of notch filter is used to achieve the suppression of sway of the transferred object. Finally, the usefulness of the proposed method is confirmed by simulations and experiments.


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