Parameter identification method of hydraulic automatic gauge control system based on chaotic wolf pack optimization algorithm
Source abstract
Abstract
In the metallurgical industry, the hydraulic automatic gauge control (HAGC) system is a kernel system used to assure the thickness precision of a rolling piece. In addition, the HAGC system is a complex nonlinear system with multiple degrees of freedom (DOF). It is difficult to identify the key parameters and obtain an accurate prediction model that can reflect the output performance of the HAGC system. On the basis of theoretical analysis, a vertical vibration model of the HAGC system with two DOF was established. Moreover, based on the swarm intelligence in nature, a novel method for model parameter identification of the HAGC system was explored, and a parameter identification method was proposed based on the chaotic wolf pack optimization algorithm. Furthermore, the proposed method was verified by experiments. The results indicate that the proposed method presents laudable identification ability. The theoretically predicted response of the identification model is consistent with the measured response of the actual system. The error of the response output waveform is small. The proposed method can be used to identify key structural parameters of the HAGC system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Hydraulic and Pneumatic Systems · Iterative Learning Control Systems · Advanced Sensor and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Research Center of Pumps, Jiangsu University 1 , Zhenjiang 212013, China
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University 2 , Hangzhou 310027, China
Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University 3 , Qinhuangdao 066004, China
Ningbo Academy of Product and Food Quality Inspection 4 , Ningbo 315048, China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China · China Postdoctoral Science Foundation · Postdoctoral Science Foundation of Zhejiang Province · Ningbo Natural Science Foundation · Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems · Youth Talent Development Program of Jiangsu University · Science and Technology Innovation 2025 Major Project of Ningbo City
References (50)
Show source-provided references
1. Absolute stability condition derivation for position closed-loop system in hydraulic automatic gauge control10.3390/pr7100766 ↗
2. An electronically controlled hydraulic power steering system for heavy vehicles10.1177/1687814016679566 ↗
3. Research on the control strategy of hydraulic shaking table based on the structural flexibility10.1109/access.2019.2906903 ↗
4. Research on theoretical model of dynamic bulk modulus of gas-containing hydraulic oil10.1109/access.2019.2959058 ↗
5. Status and prospect of research in preprocessing methods for measured signals in mechanical systems
6. Parameter identification of electrochemical model for vehicular lithium-ion battery based on particle swarm optimization10.3390/en10111811 ↗
7. Optimization of hydrofoil for tidal current turbine based on particle swarm optimization and computational fluid dynamic method10.2298/tsci1603907z ↗
8. An improved genetic algorithm approach on mechanism kinematic structure enumeration with intelligent manufacturing10.1007/s10846-017-0564-z ↗
9. Deep learning-based intelligent fault diagnosis methods toward rotating machinery10.1109/access.2019.2963092 ↗
10. Research on speed optimization strategy of hybrid electric vehicle queue based on particle swarm optimization10.1155/2018/6483145 ↗
11. Fuzzy optimization of energy management for power split hybrid electric vehicle based on particle swarm optimization algorithm10.1177/1687814019830797 ↗
12. Parameter estimation of Lorenz chaotic system using a hybrid swarm intelligence algorithm10.1016/j.physleta.2016.01.040 ↗
13. An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models10.1016/j.jsv.2016.11.006 ↗
14. Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model10.1016/j.eswa.2014.12.047 ↗
15. Parameter identification and sensitivity analysis of solar cell models with cat swarm optimization algorithm10.1016/j.enconman.2015.11.041 ↗
16. Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints10.1016/j.renene.2016.10.010 ↗
17. Optimal design of multistage centrifugal pump based on the combined energy loss model and computational fluid dynamics10.1016/j.apenergy.2016.11.046 ↗
18. Vibration in a multistage centrifugal pump under varied conditions10.1155/2019/2057031 ↗
19. Mechanism and propagation characteristics of rotating stall in a mixed-flow pump10.1016/j.renene.2020.02.003 ↗
20. Numerical and experimental study on the pressure fluctuation, vibration, and noise of multistage pump with radial diffuser10.1007/s40430-018-1355-6 ↗
21. Transient response analysis of cantilever multistage centrifugal pump based on multi-source excitation10.1177/1461348419872312 ↗
22. Process simulation of chemical looping combustion using ASPEN plus for a mixture of biomass and coal with various oxygen carriers10.1016/j.energy.2020.116955 ↗
23. On the generalized adjacency, Laplacian and signless Laplacian spectra of the weighted edge corona networks10.1016/j.physa.2019.123073 ↗
24. On the Hosoya index of graphs formed by a fractal graph10.1142/s0218348x19501354 ↗
25. On the number of spanning trees and normalized Laplacian of linear octagonal-quadrilateral networks10.1002/qua.25971 ↗
26. An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications10.1016/j.knosys.2021.106943 ↗
27. Maximum wind energy extraction of large-scale wind turbines using nonlinear model predictive control via Yin–Yang grey wolf optimization algorithm10.1016/j.energy.2021.119866 ↗
28. A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm10.1016/j.eswa.2020.114364 ↗
29. Sizing and layout optimization of truss structures with artificial bee colony algorithm10.1016/j.istruc.2021.01.016 ↗
30. Particle swarm optimization
31. Genetic algorithms: A survey10.1109/2.294849 ↗
32. A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm10.1007/s10898-007-9149-x ↗
33. Ant colony system: A cooperative learning approach to the traveling salesman problem10.1109/4235.585892 ↗
34. A multi-objective multi-population ant colony optimization for economic emission dispatch considering power system security10.1016/j.apm.2017.01.001 ↗
35. Artificial bee colony algorithm with gene recombination for numerical function optimization10.1016/j.asoc.2016.12.017 ↗
36. An improved hybrid method combining gravitational search algorithm with dynamic multi swarm particle swarm optimization10.1109/access.2019.2903137 ↗
37. Improved particle swarm optimization combined with backpropagation for feedforward neural networks10.1002/int.21569 ↗
38. Simultaneous allocation of distributed energy resource using improved particle swarm optimization10.1016/j.apenergy.2016.01.093 ↗
39. An improved hybrid self-inertia weight adaptive particle swarm optimization algorithm with local search10.1080/0305215x.2018.1525709 ↗
40. Algorithm of marriage in honey bees optimization based on the wolf pack search
41. New swarm intelligence algorithm-wolf pack algorithm
42. A uncultivated wolf pack algorithm for high-dimensional functions and its application in parameters optimization of PID controller
43. Wolf pack algorithm for unconstrained global optimization10.1155/2014/465082 ↗
44. Precision time synchronization control method for smart grid based on wolf colony algorithm10.1016/j.ijepes.2015.12.016 ↗
45. An oppositional wolf pack algorithm for parameter identification of the chaotic systems10.1016/j.ijleo.2016.07.056 ↗
46. Wolf colony search algorithm based on leader strategy
47. A chaos wolf optimization algorithm with self-adaptive variable step-size10.1063/1.5005130 ↗
48. Amplitude-frequency characteristics analysis for vertical vibration of hydraulic AGC System under nonlinear action10.1063/1.5085854 ↗
49. Bifurcation characteristic research on the load vertical vibration of a hydraulic automatic gauge control system10.3390/pr7100718 ↗
50. Extraction method for signal effective component based on extreme-point symmetric mode decomposition and Kullback–Leibler divergence10.1007/s40430-019-1599-9 ↗