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SLIDING CONTROL METHOD OF MARINE ECOLOGICAL PROTECTION ROBOT

ABSTRACT
In order to solve the problem of low control accuracy of the marine ecological protection robot in the route planning process during positioning, a new sliding control method is proposed. First, obtain the position information of the marine ecological protection robot, use the dynamic information measurement method to process the dynamic information, and extract the position tracking information. According to the needs of dynamic positioning and target path tracking, combined with the robot sliding control method, the global positioning of the marine ecological protection robot is designed. Experiments show that this method has high positioning accuracy for marine ecological protection robots, small positioning errors, good obstacle avoidance performance and strong dynamic positioning control capabilities.
KEYWORDS
PAPER SUBMITTED: 2021-01-14
PAPER REVISED: 2021-07-07
PAPER ACCEPTED: 2021-07-10
PUBLISHED ONLINE: 2021-10-17
DOI REFERENCE: https://doi.org/10.2298/TSCI2106043S
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 6, PAGES [4043 - 4050]
REFERENCES
  1. Wang, S., et al., Effect of Engine Speeds and Dimethyl Ether on Methyl Decanoate Hcci Combustion and Emission Characteristics based on Low-Speed Two-Stroke Diesel Engine, Polish Maritime Research, 27 (2020), 2, pp. 85-95
  2. Wei, R., Jin, S., Trajectory Tracking Control of Mobile Robots Under the Influence of Sliding and Sideslip, Sensors and Microsystems, 38 (2019), 3, pp. 123-125+136
  3. Jiang, H., et al., Data-Driven Wheeled Mobile Robot Control, Control Engineering, 27 (2020), 3, pp. 166-170
  4. Gu, X. Y., et al., Design and Experiment of Low-Pressure Gas Supply System for Dual Fuel Engine, Polish Maritime Research, 27 (2020), 2, pp. 76-84
  5. Kwasniewski, T., et al., Design Analysis of Hybrid Gas Turbine-Fuel Cell Power Plant in Stationary and Marine Applications, Polish Maritime Research, 27 (2020), 2, pp. 107-119
  6. Li, X. W., et al., Design and Mechanical Analysis of a Composite T-Type Connection Structure for Marine Structures, Polish Maritime Research, 27 (2020), 2, pp. 145-157
  7. Hariri, A., et al., An Integrated Characterization Model and Multiobjective Optimization for the Design of an EV Charger's Circular Wireless Power Transfer Pads, IEEE Transactions on Magnetics, 53 (2017), 6, pp. 1-4
  8. Yao, W. X., Research on the Policy Effect of Incremental Expansion of Margin and Securities Lending, based on the MULTI PERIOD DID Model and Hausman's Test, International Financial Research, 349 (2016), 5, pp. 85-96
  9. Zhu, M., et al., A Hybrid Method for Learning Multi-Dimensional Bayesian Network Classifiers based on An Optimization Model, Applied Intelligence, 44 (2016), 1, pp. 1-26
  10. Yuan, Y., et al., Blockchain, the State of the Art and Future Trends, Acta Automatica Sinica, 42 (2016), 4, pp. 481-494
  11. Liu, Z., et al., An Approach of Distributed Joint Optimization for Cluster-based Wireless Sensor Networks, IEEE/CAA Journal of Automatica Sinica, 2 (2015), 3, pp. 267-273
  12. Cao, Y. L., et al., Optimal Security Strategy for Malware Propagation in Mobile Wireless Sensor Networks, Acta Electronica Sinica, 44 (2016), 8, pp. 1851-1857

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence