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Research on Off-line Parameter Self-optimizing Method for Digital Control Servo System based on Particle Swarm Optimization
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Hongcheng YANG, Shan LIU, Wenbo XU, Bo ZHANG, Peiwen LI
Missiles and Space Vehicles | 2024, 47(1) : 83 - 86
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Missiles and Space Vehicles | 2024, 47(1): 83-86
Guidance, Navigation and Control
Research on Off-line Parameter Self-optimizing Method for Digital Control Servo System based on Particle Swarm Optimization
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Hongcheng YANG, Shan LIU, Wenbo XU, Bo ZHANG, Peiwen LI
Affiliations
  • Beijing Institute of Precision Mechatronics and Controls,Beijing,100076
Published: 2024-02-25 doi: 10.7654/j.issn.2097-1974.20240115
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Considering the dispersion of small signal flow characteristics of servo valve, the control parameters of electro-hydraulic servo system need to be matched and adjusted. An off-line self-optimizing method for electro-hydraulic servo system control parameters based on particle swarm optimization is proposed. The control system task book and manual debugging results decide optimization target characteristics, and the parameter optimization range is determined by the analysis results of servo system stability and statistics of batch production data envelopment. This parameter optimization method takes about 100-240 seconds. Compared with manual approaches, it can greatly improve the mass production debugging efficiency of the control parameters for electro-hydraulic servo system.

self-optimizing method  /  electro-hydraulic servo system  /  control parameter tuning  /  partice swarm optimization
Hongcheng YANG, Shan LIU, Wenbo XU, Bo ZHANG, Peiwen LI. Research on Off-line Parameter Self-optimizing Method for Digital Control Servo System based on Particle Swarm Optimization[J]. Missiles and Space Vehicles, 2024 , 47 (1) : 83 -86 . DOI: 10.7654/j.issn.2097-1974.20240115
Year 2024 volume 47 Issue 1
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doi: 10.7654/j.issn.2097-1974.20240115
  • Receive Date:2020-11-20
  • Online Date:2025-07-04
  • Published:2024-02-25
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  • Received:2020-11-20
  • Revised:2021-04-18
Affiliations
    Beijing Institute of Precision Mechatronics and Controls,Beijing,100076
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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