Education, Science, Technology, Innovation and Life
Open Access
Sign In

Motion Control Technology of PLC Industrial Palletizing Robot

Download as PDF

DOI: 10.23977/autml.2022.030106 | Downloads: 107 | Views: 1306

Author(s)

Haifeng Guo 1, Yiyang Wang 1, Wenyi Li 1

Affiliation(s)

1 Liaoning Institute of Science and Technology, Benxi, 117004, China

Corresponding Author

Haifeng Guo

ABSTRACT

With the advent of the new century, the level of industrial automation has improved significantly, and the application of robots has become more and more in-depth. As a typical representative of robots, palletizing robots are widely used in food, chemical, coal and other industries. This article aims to study the motion control technology of PLC industrial palletizing robots. First, the mechanism design of the palletizing robot is completed, and the type selection of the programmable controller (PLC), and secondly, the PLC program design of the palletizing robot is proposed. Apply the principle of PID parameter optimization. The functions and algorithms of the control software system can be continuously improved and perfected, using the work force of the palletizing robot to perform operations. At the same time, new control functions can be added to adapt to the motion control of other types of corporate robots, especially those that require continuous orbits. Analyzing the PID parameters of the stacking process and optimizing the Trio controller, the experimental results show that compared with the unoptimized palletizing, the palletizing optimization increases the handling rate of 400 packages per hour.

KEYWORDS

PLC Industry, Palletizing Robot, Motion Control, Control Technology

CITE THIS PAPER

Haifeng Guo, Yiyang Wang, Wenyi Li, Motion Control Technology of PLC Industrial Palletizing Robot. Automation and Machine Learning (2022) Vol. 3: 38-43. DOI: http://dx.doi.org/10.23977/autml.2022.030106.

REFERENCES

[1] Meng K, Jia Y, Yang H, et al. Motion Planning and Robust Control for the Endovascular Navigation of a Microrobot[J]. IEEE Transactions on Industrial Informatics, 2019, PP(99):1-1.
[2] Mahmud M, Abidin M, Mohamed Z. LOCALIZATION AND MOTION CONTROL IMPLEMENTATION FOR AN AGRICULTURAL MOBILE ROBOT[J]. Jurnal Teknologi, 2017, 79(7):31-39.
[3] Liang Z, Chongquan Z, Feixiang Z. Research on robot trajectory planning algorithm with optimal acceleration[J]. Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology, 2017, 57(2):177-183.
[4] Hu J, Li C, Chen Z, et al. Precision Motion Control of a 6-DoFs Industrial Robot with Accurate Payload Estimation[J]. IEEE/ASME Transactions on Mechatronics, 2020, PP(99):1-1.
[5] ’Rosa D G G, Feiteira, José Flávio Silveira, Lopes, António M, et al. Analysis and implementation of a force control strategy for drilling operations with an industrial robot[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2017, 39(11):4749-4756.
[6] Wang R, Wang S, Wang Y, et al. Development and Motion Control of Biomimetic Underwater Robots: A Survey[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, PP(99):1-12.
[7] Sun H, Zhang Y, Xie B, et al. Dynamic Modeling and Error Analysis of a Cable-Linkage Serial-Parallel Palletizing Robot[J]. IEEE Access, 2020, PP(99):1-1.
[8] Kataoka R, Suzuki S, Ji Y, et al. Smooth Motion Control of Mobile Robot in Human-robot Coexisting Environment[J]. IFAC-PapersOnLine, 2019, 52( 22):91-94.
[9] Kazemi S, Kharrati H. Visual Processing and Classification of items on Moving Conveyor with Pick and Place Robot using PLC[J]. Intelligent Industrial Systems, 2017, 3(1):15-21.
[10] Lei R H, Chen L. Adaptive fault-tolerant control based on boundary estimation for space robot under joint actuator faults and uncertain parameters[J]. Defence Technology, 2019, 15( 6):964-971.
[11] Bochomulski M, Borys S, Kaczmarek W. Integracja sterownika PLC z robotem przemysowym z uyciem protokou ProfiBus DP na stanowisku paletyzacji[J]. Przeglad Mechaniczny, 2019, 1(7-8):26-29.
[12] Zou C. Motion Automation Control System of Ship Assembly Robot Based on PLC[J]. Journal of Coastal Research, 2019, 93(sp1):1006.

Downloads: 1406
Visits: 62347

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.