Design of a Controller Using Hedge Algebra to Control Position of Hydraulic Cylinders
DOI:
https://doi.org/10.3849/aimt.01872Keywords:
hedge algebra, hedge algebra control, position control, hydraulic cylindersAbstract
Currently, hydraulic actuators are widely used in both civil and military industries that require high response speed and capacity. The problem of accurately controlling the position of hydraulic actuators, especially hydraulic cylinders, is a typical problem and that is why it is of research interest. Fuzzy controllers are successful with complex objects that have incomplete object information and are easier to change than other controllers, but the problem of choosing fuzzy rules, membership functions, as well as the amount of calculation, is still limited. Hedge algebra is a new approach to fuzzy logic computing and has achieved some success in the field of control. In this study, the authors propose a control model using algebraic control algorithms for hydraulic servo systems to overcome the disadvantages of classical PID controllers and the nonlinearity of hydraulic systems. The quality of the hedge algebraic controller has been simulated on Matlab/Simulink software and tested on a real model.
References
LIU, Y. et al. Regulating Characteristics of New Tamping Device Exciter Controlledby Rotary Valve. IEEE/ASME Transactions on Mechatronics, 2015, 21(1), pp. 497–505. DOI 10.1109/TMECH.2015.2438095.
MILIĆ, V., Z. ŠITUM and M. ESSERT. Robust H∞ Position Control Synthesis of anElectro Hydraulic Servo System. ISA Transactions, 2020, 49(1), pp. 535–542. DOI10.1016/j.isatra.2010.06.004.10
BESSA, W., M. DUTRA and E. KREUZER. Sliding Mode Control with Adaptive Fuzzy Dead Zone Compensation of an Electro Hydraulic Servo System. Journal of Intelligent and Robotic Systems, 2010, 58(1), pp. 3–16. DOI 10.1007/s10846-009-9342-x.
NGUYEN, M., H. DAO and K. AHN. Active Disturbance Rejection Control for Position Tracking of Electro Hydraulic Servo Systems under Modeling Uncertainty and External Load. Actuators, 2021, 10(2), pp. 20–25. DOI 10.3390/act10020020.
ZHENG, X. and X. SU. Sliding Mode Control of Electro Hydraulic Servo Systém Based on Optimization of Quantum Particle Swarm Algorithm. Machines, 2021, 9(1), pp. 283–287. DOI 10.3390/machines9110283.
NIU, S., J. WANG, J. ZHAO and W. SHEN. Neural Network Based Finite Time Command Filtered Adaptive Backstepping Control of Electro Hydraulic Servo Systém with a Three Stage Valve. ISA Transactions, 2024, 144(1), pp. 419–435. DOI 10.1016/j.isatra.2023.10.017.
FENG, H. et al. A New Adaptive Sliding Mode Controller Based on the RBF Neural Network for an Electro Hydraulic Servo System. ISA Transactions, 2022, 129(1), pp. 472–484. DOI 10.1016/j.isatra.2021.12.044.
TRAN, N. et al. Modeling of Position Control for Hydraulic Cylinder Using Servo Valve. In: Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II. 2018, pp. 696–706. DOI 10.1007/978-3-319-75420-8_65.
YU, H., Z. FENG and X. WANG. Nonlinear Control for a Class of Hydraulic Servo System. Journal of Zhejiang University-Science, 2004, 5(1), pp. 1413–1417. DOI 10.1631/jzus.2004.1413.
VINH, N. and P. PHUC. Control of the Motion Orientation of Autonomous Underwater Vehicle. In: Procedia Computer Science. Vol. 150. 2. 2019, pp. 69–77. DOI 10.1016/j.procs.2019.02.015.
VINH, N. Control of the Motion Orientation and the Depth of Underwater Vehicles by Hedge Algebras. In: Information Systems Design and Intelligent Applications: Proceedings of Fourth International Conference INDIA 2017. 2018, pp. 525–536. DOI 10.1007/978-981-10-7512-4_52.
SHEN, G. et al. Real Time Electro Hydraulic Hybrid System for Structural Testing Subjected to Vibration and Force Loading. Mechatronics, 2016, 33(1), pp. 49–70. DOI 10.1016/j.mechatronics.2015.10.009.
TRAN, H. et al. Hybrid Solar-RF Energy Harvesting Mechanisms for Remote Sensing Devices. International Journal of Renewable Energy Research (IJRER), 2022, 12(1), pp. 294–304. DOI 10.3390/electronics9050752.
LI, Z. and K. XING. Application of Fuzzy PID Controller for Electro Hydraulic Servo Position Control System. In: 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE). 2017, pp. 158–162. DOI 10.1109/CCSSE.2017.8087915.
NIANZU, Z., Z. RUHUI and F.MAOJI. Fuzzy Control Used in Robotic Arm Position Control. In: Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference. 1994, pp. 1484–1489. DOI 10.1109/FUZZY.1994.343914.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2024 Advances in Military Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Users can use, reuse and build upon the material published in the journal for any purpose, even commercially.