Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm
This paper proposes an electro-hydraulic vibration control system based on the single-neuron PID algorithm, which improves the operating frequency of the electro-hydraulic fatigue testing machine and the control accuracy of the load force. Through mathematical modeling of the electro-hydraulic vibra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/12/1/58 |
| _version_ | 1797343145888841728 |
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| author | Wenang Jia Zeji Chen Tongzhong Chen Sheng Li |
| author_facet | Wenang Jia Zeji Chen Tongzhong Chen Sheng Li |
| author_sort | Wenang Jia |
| collection | DOAJ |
| description | This paper proposes an electro-hydraulic vibration control system based on the single-neuron PID algorithm, which improves the operating frequency of the electro-hydraulic fatigue testing machine and the control accuracy of the load force. Through mathematical modeling of the electro-hydraulic vibration system (EVS), a MATLAB/Simulink simulation, and experimental testing, this study systematically analyzes the output waveform of the EVS as well as the closed-loop situation of load force amplitude and offset under the action of the single-neuron PID algorithm. The results show that: the EVS with a 2D vibration valve as the core, which can control the movement of the spool in the two-degrees-of-freedom direction, can realize the output of an approximate sinusoidal load force waveform from 0 to 800 Hz. The system controlled by the single-neuron PID algorithm is less complex to operate than the traditional PID algorithm. It also has a short rise time for the output load force amplitude curve and a maximum control error of only 1.2%. Furthermore, it exhibits a rapid closed-loop response to the load force offset. The range variability of the load force is measured to be 1.43%. A new scheme for the design of EVS is provided in this study, which broadens the application range of electro-hydraulic fatigue testing machines. |
| first_indexed | 2024-03-08T10:43:31Z |
| format | Article |
| id | doaj.art-98a5e16251344cc08a08323eb6e168c1 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-08T10:43:31Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-98a5e16251344cc08a08323eb6e168c12024-01-26T17:24:28ZengMDPI AGMachines2075-17022024-01-011215810.3390/machines12010058Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control AlgorithmWenang Jia0Zeji Chen1Tongzhong Chen2Sheng Li3College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaThis paper proposes an electro-hydraulic vibration control system based on the single-neuron PID algorithm, which improves the operating frequency of the electro-hydraulic fatigue testing machine and the control accuracy of the load force. Through mathematical modeling of the electro-hydraulic vibration system (EVS), a MATLAB/Simulink simulation, and experimental testing, this study systematically analyzes the output waveform of the EVS as well as the closed-loop situation of load force amplitude and offset under the action of the single-neuron PID algorithm. The results show that: the EVS with a 2D vibration valve as the core, which can control the movement of the spool in the two-degrees-of-freedom direction, can realize the output of an approximate sinusoidal load force waveform from 0 to 800 Hz. The system controlled by the single-neuron PID algorithm is less complex to operate than the traditional PID algorithm. It also has a short rise time for the output load force amplitude curve and a maximum control error of only 1.2%. Furthermore, it exhibits a rapid closed-loop response to the load force offset. The range variability of the load force is measured to be 1.43%. A new scheme for the design of EVS is provided in this study, which broadens the application range of electro-hydraulic fatigue testing machines.https://www.mdpi.com/2075-1702/12/1/58electro-hydraulic vibration system2D vibration valvesingle-neuron PID algorithmload force closed-loop control |
| spellingShingle | Wenang Jia Zeji Chen Tongzhong Chen Sheng Li Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm Machines electro-hydraulic vibration system 2D vibration valve single-neuron PID algorithm load force closed-loop control |
| title | Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm |
| title_full | Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm |
| title_fullStr | Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm |
| title_full_unstemmed | Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm |
| title_short | Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm |
| title_sort | analysis of the control characteristics of the electro hydraulic vibration system based on the single neuron control algorithm |
| topic | electro-hydraulic vibration system 2D vibration valve single-neuron PID algorithm load force closed-loop control |
| url | https://www.mdpi.com/2075-1702/12/1/58 |
| work_keys_str_mv | AT wenangjia analysisofthecontrolcharacteristicsoftheelectrohydraulicvibrationsystembasedonthesingleneuroncontrolalgorithm AT zejichen analysisofthecontrolcharacteristicsoftheelectrohydraulicvibrationsystembasedonthesingleneuroncontrolalgorithm AT tongzhongchen analysisofthecontrolcharacteristicsoftheelectrohydraulicvibrationsystembasedonthesingleneuroncontrolalgorithm AT shengli analysisofthecontrolcharacteristicsoftheelectrohydraulicvibrationsystembasedonthesingleneuroncontrolalgorithm |