A Crane Robot of Three Axes Dimensional Using Trajectory Planning Method

Triyanto Pangaribowo, Muhammad Hafizd Ibnu Hajar, Julpri Andika, Adi Juliyanto

DOI: https://doi.org/10.37869/ijatec.v1i2.20

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Abstract


This study aims to design a crane robot that has good performance with good stability, good accuracy in the gripper clamping the object at the point of balance and reach the target location well. The crane controller is installed with US-100 ping sensor and proximity infrared sensor to detect position of object. The robot crane moves on the x , y and z axes or in three dimensions using motors as actuator and it can be adjusted with motor drive. The crane moves on the x and y axes using DC motor and z axis using servo motor. The crane automatically moves when it detects an object. The crane's movement uses the trajectory determination method by maintaining speed. Finally, the average accuracy of the gripper clamping exactly at the midpoint of the object is 93%. The length of the object when it is clamped has an accuracy of 95%. The performance of the crane robot is evaluated to transfer an object to the destination location takes 11 seconds with a track length of 86.055 cm


Keywords


A Crane robot; Three Axes; Trajectory;Control

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L. Ramli, Z. Mohamed, A. M. Abdullahi, H. I. Jaafar, and I. M. Lazim, Control strategies for crane systems: A comprehensive review, Mech. Syst. Signal Process., vol. 95, pp. 123, 2017. https://doi.org/10.1016/j.ymssp.2017.03.015

Z. Zhou and L. Li, Optimal cyclic single crane scheduling for two parallel train oilcan repairing lines, Comput. Oper. Res., vol. 39, no. 8, pp. 18501856, 2012. https://doi.org/10.1016/j.cor.2011.06.002

Z. Sun, X. Zhao, Z. Sun, F. Xiang, and C. Mao, Optimal sliding mode controller design based on dynamic differential evolutionary algorithm for under-actuated crane systems, IEEE Access, vol. 6, pp. 6746967476, 2018. https://doi.org/10.1109/ACCESS.2018.2872062

E. M. Abdel-rahman, A. H. Nayfeh, and Z. N. Masoud, Journal of, pp. 863908, 2003. https://doi.org/10.1177%2F1077546303009007007

Z. Sun, Y. Bi, X. Zhao, Z. Sun, C. Ying, and S. Tan, Type-2 Fuzzy Sliding Mode Anti-Swing Controller Design and Optimization for Overhead Crane, IEEE Access, vol. 6, pp. 5193151938, 2018. https://doi.org/10.1109/ACCESS.2018.2869217

F. Sanfilippo, L. I. Hatledal, A. Styve, K. Y. Pettersen, and H. Zhang, Integrated Flexible Maritime Crane Architecture for the Offshore Simulation Centre AS (OSC): A Flexible Framework for Alternative Maritime Crane Control Algorithms, IEEE J. Ocean. Eng., vol. 41, no. 2, pp. 450461, 2016. https://doi.org/10.1109/JOE.2015.2439891

N. Boysen, D. Briskorn, and F. Meisel, A generalized classification scheme for crane scheduling with interference, Eur. J. Oper. Res., vol. 258, no. 1, pp. 343357, 2017. https://doi.org/10.1016/j.ejor.2016.08.041

S. Heshmati, T. A. M. Toffolo, W. Vancroonenburg, and G. Vanden Berghe, Crane-operated warehouses: Integrating location assignment and crane scheduling, Comput. Ind. Eng., vol. 129, no. May 2018, pp. 274295, 2019. https://doi.org/10.1016/j.cie.2019.01.039

N. Boysen and K. Stephan, A survey on single crane scheduling in automated storage/retrieval systems, Eur. J. Oper. Res., vol. 254, no. 3, pp. 691704, 2016. https://doi.org/10.1016/j.ejor.2016.04.008

B. Salah, O. Janeh, B. Noche, T. Bruckmann, and S. Darmoul, Design and simulation based validation of the control architecture of a stacker crane based on an innovative wire-driven robot, Robot. Comput. Integr. Manuf., vol. 44, pp. 117128, 2017. https://doi.org/10.1016/j.rcim.2016.08.010

V. Krasniqi, S. Buza, A. Pajaziti, and F. Krasniqi, Control algorithm of a pick and place three dimensional robots, IFAC Proc. Vol., vol. 15, no. PART 1, pp. 440443, 2013. https://doi.org/10.3182/20130825-4-US-2038.00029

B. Rokseth, S. Skjong, and E. Pedersen, Modeling of Generic Offshore Vessel in Crane Operations with Focus on Strong Rigid Body Connections, IEEE J. Ocean. Eng., vol. 42, no. 4, pp. 846868, 2017. https://doi.org/10.1109/JOE.2016.2614584

L. Scalera, P. Gallina, S. Seriani, and A. Gasparetto, Cable-Based Robotic Crane (CBRC): Design and Implementation of Overhead Traveling Cranes Based on Variable Radius Drums, IEEE Trans. Robot., vol. 34, no. 2, pp. 474485, 2018. https://doi.org/10.1109/TRO.2018.2791593

G. N. Maschietto, Y. Ouazene, M. G. Ravetti, M. C. de Souza, and F. Yalaoui, Scheduling cranes to retrieve steel coils in a warehouse, IFAC-PapersOnLine, vol. 49, no. 12, pp. 10201025, 2016. https://doi.org/10.1016/j.ifacol.2016.07.576

K. H. Cheng, Adaptive B-spline-based fuzzy sliding-mode control for an auto-warehousing crane system, Appl. Soft Comput. J., vol. 48, pp. 476490, 2016. https://doi.org/10.1016/j.asoc.2016.04.002

M. Gniadek, Usage of input shaping for crane load oscillation reduction, 2015 20th Int. Conf. Methods Model. Autom. Robot. MMAR 2015, pp. 278282, 2015. https://doi.org/10.1109/MMAR.2015.7283887

S. H. Chia, K. L. Su, J. H. Guo, and C. Y. Chung, Ant colony system based mobile robot path planning, Proc. - 4th Int. Conf. Genet. Evol. Comput. ICGEC 2010, pp. 210213, 2010. https://doi.org/10.1109/ICGEC.2010.59

M. Zhang et al., Adaptive Proportional-Derivative Sliding Mode Control Law with Improved Transient Performance for Underactuated Overhead Crane Systems, IEEE/CAA J. Autom. Sin., vol. 5, no. 3, pp. 683690, 2018. https://doi.org/10.1109/JAS.2018.7511072

R. N. Hasanah, M. F. P. Perdana, R. Santoso, and H. Suyono, Design and construction of a single-arm crane miniature for stevedoring, 2017 20th Int. Conf. Electr. Mach. Syst. ICEMS 2017, 2017. https://doi.org/10.1109/ICEMS.2017.8056167

C. H. Hsu and C. F. Juang, Multi-objective continuous-ant-colony-optimized FC for robot wall-following control, IEEE Comput. Intell. Mag., vol. 8, no. 3, pp. 2840, 2013. https://doi.org/10.1109/MCI.2013.2264233

A. Adriansyah and A. W. Dani, Design of small smart home system based on arduino, Proc. - 2014 Electr. Power, Electron. Commun. Control Informatics Semin. EECCIS 2014. conjunction with 1st Jt. Conf. UB-UTHM , pp. 121125, 2014. https://doi.org/10.1109/EECCIS.2014.7003731

A. Adriansyah, A. W. Dani, and G. I. Nugraha, Automation control and monitoring of public street lighting system based on internet of things, ICECOS 2017 - Proceeding 2017 Int. Conf. Electr. Eng. Comput. Sci. Sustain. Cult. Herit. Towar. Smart Environ. Better Futur., pp. 231236, 2017. https://doi.org/10.1109/ICECOS.2017.8167140


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