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Sway Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller
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2020-12-31
https://doi.org/10.17667/riim.2020.1/4.
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Yildirim, Şahin, & Gordebil, A. (2020). Sway Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller. Recent Innovations in Mechatronics, 7(1), 1-8. https://doi.org/10.17667/riim.2020.1/4. (Original work published 2024)
Received 2020-02-28
Accepted 2020-10-12
Published 2020-12-31
Accepted 2020-10-12
Published 2020-12-31
Abstract
This paper presents a novel control approach for 3 cars crane systems. Nowadays; some problems for carrying unpredicted loads of crane systems exist. On the other hand; long bar loads are very important to carry without touch on other materials in factories. In this simulation study, fuzzy based controllers were designed to control vibrations of 3 cars crane system. The simulation results are improved and show this kind of controllers will be employed in real time such systems.
References
- Ramli, L., Mohamed, Z., Abdullahi, A., M., Jaafar, H., I., Lazim, I., M., 2017, Control strategies for crane systems: A comprehensive review, Mechanical Systems and Signal Processing, 95: 1-23
- Sorensen, K., Singhose, W. Dickerson, S., 2005, A controller enabling precise positioning and sway reduction in cranes with on-off actuation, 16th Triennial World Congress, Prague, Czech Republic, Elsevier IFAC Publications, 38(1): 580-585
- Miranda-Colorado, R., Aguilar, L., T., 2019, A family of anti-swing motion controllers for 2D-cranes with load hoisting/lowering, Mechanical Systems and Signal Processing, 133: 106253
- Lobe, A., Ettl, A., Steinboeck, A., Kugi, A., 2018, Flatness-based nonlinear control of a three-dimensional gantry crane, IFAC PapersOnLine, 22(51): 331-336
- Giacomelli, M., Padula, F., Simoni, L., Visioli, A., 2018, Mechatronics, 56: 37-47
- Mori, Y., Tagawa, Y., 2018, Vibration controller for overhead cranes considering limited horizontal acceleration, Control Engineering Practice, 81: 256-263
- Lu, B., Fang, Y., Sun, N., 2018, Modeling and nonlinear coordination control for an underactuated dual overhead crane system, Automatica, 91: 244-255
- Zhao, X., Huang, J., 2019, Distributed-mass payload dynamics and control of dual cranes undergoing planar motions, Mechanical Systems and Signal Processing, 126: 636-648
- Smoczek, J., 2014, Fuzzy crane control with sensorless payload deflection feedback for vibration reduction, Mechanical Systems and Signal Processing, 46(1): 70-81
- Ouyang, H., Xu, X., Zhang, G., 2020, Energy-shaping-based nonlinear controller design for rotary cranes with double-pendulum effect considering actuator saturation, Automation in Construction, 111: 103054
- Shengzeng, Z., Xiongxiong, H., Haiyue, Z., Qiang, C., Yuanjing, F., 2020, Partially saturated coupled-dissipation control for underactuated overhead cranes, Mechanical Systems and Signal Processing, 136: 106449
- Smoczek, J., Szpytko, J., 2014, Evolutionary algorithm-based design of a fuzzy TBF predictive model and TSK fuzzy anti-sway crane control system, Engineering Applications of Artificial Intelligence, 28: 190-200
- Maghsoudi, M., J., Ramli, L., Sudin, S., Mohamed, Z., Husain, A., R., Wahid, H., 2019, Improved unity magnitude input shaping scheme for sway control of an underactuated 3D overhead crane with hoisting, Mechanical Systems and Signal Processing, 123: 466-482
- Alghanim, K., A., Alhazza, K., A., Masoud, Z., N., 2015, Discrete-time command profile for simultaneous travel and hoist maneuvers of overhead cranes, Journal of Sound and Vibration, 345: 47-57
- Piriadarshani, D., Sujitha, S., S., 2018, The role of transfer function in the study of stability analysis of feedback control system with delay, International Journal of Applied Mathematics, 31(6): 727-737
- Lobontiu, N., 2017. System Dynamics for Engineering Students: Concepts and Applications, Elsevier Science, 786
- Baburajan, S., 2017. Pitch Control of Wind Turbine Through PID, Fuzzy and Adaptive Fuzzy-PID Controllers. Rochester Institute of Technology RIT Scholar Works, Master Thesis, Rochester, 62
- Suganthi, L., Iniyan, S., Samuel, A., A., 2015. Applications of fuzzy logic in renewable energy systems – A review, Renewable and Sustainable Energy Reviews, 48: 585-607
- Visek, E., Mazzrella, L., Motta, M., 2014. Performance analysis of a solar cooling system using self tuning fuzzy-PID control with TRNSYS. ISES Solar World Congress, 2013, Milano, Energy Procedia, 57: 2609 – 2618
