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Multilayer Fuzzy Nested PID Temperature Control Technology Based on Improved Gold Rush Optimizer
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Chao YAN1, Hui ZHANG1, *, Xin CHANG2, Peng GAO2, Le FU1, Ming-zhang TANG2
Science Technology and Engineering | 2025, 25(15) : 6397 - 6409
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Science Technology and Engineering | 2025, 25(15): 6397-6409
Papers·Automation and Computational Technology
Multilayer Fuzzy Nested PID Temperature Control Technology Based on Improved Gold Rush Optimizer
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Chao YAN1, Hui ZHANG1, *, Xin CHANG2, Peng GAO2, Le FU1, Ming-zhang TANG2
Affiliations
  • 1 School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  • 2 Beijing Institute of Space Electromechanics, Beijing 100094, China
Published: 2025-05-28 doi: 10.12404/j.issn.1671-1815.2404575
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Aiming at the problem of high-precision, high-speed and efficient temperature control caused by multi-point measurement and asymmetric heating condition of input and output, a new algorithm (IGRO-FuzzyN-PID) based on IGRO-PID and multi-layer fuzzy nested algorithm was proposed. Simulation results show that IGRO algorithm is superior to CPO (crested porcupine optimizer)、IPSO(improved particle swarm optimization)、COA(crayfish optimization algorithm)、GA(genetic algorithm) in PID control system. Simulation and experimental results show that compared with the IGRO-PID algorithm, the overshoot, steady-state error and average error of the IGRO-FuzzyN-PID algorithm are optimally increased by 70.91%, 70.69%, 82.35% and 86.89%, 76.23%, 86.56% under symmetric and asymmetric input and output conditions. It is proved that the proposed algorithm meets the control requirements of high precision, high speed and high efficiency under symmetric and asymmetric input and output conditions.

temperature control  /  improved gold rush optimizer  /  multilayer fuzzy nested  /  asymmetric input-output
Chao YAN, Hui ZHANG, Xin CHANG, Peng GAO, Le FU, Ming-zhang TANG. Multilayer Fuzzy Nested PID Temperature Control Technology Based on Improved Gold Rush Optimizer[J]. Science Technology and Engineering, 2025 , 25 (15) : 6397 -6409 . DOI: 10.12404/j.issn.1671-1815.2404575
Year 2025 volume 25 Issue 15
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doi: 10.12404/j.issn.1671-1815.2404575
  • Receive Date:2024-06-19
  • Online Date:2025-07-09
  • Published:2025-05-28
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  • Received:2024-06-19
  • Revised:2024-10-29
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    1 School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
    2 Beijing Institute of Space Electromechanics, Beijing 100094, China
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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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