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Control Parameters Optimization of Hydraulic Turbine Regulation System Based on CAS-PSO-VFPID Algorithm
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Miao ZHOUa, Shu-qing WANGb, Kai-yuan CHENa
Water Resources and Power | 2025, 43(9) : 192 - 196
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Water Resources and Power | 2025, 43(9): 192-196
Control Parameters Optimization of Hydraulic Turbine Regulation System Based on CAS-PSO-VFPID Algorithm
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Miao ZHOUa, Shu-qing WANGb, Kai-yuan CHENa
Affiliations
  • a.School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
  • b.Hubei Provincial Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation Control, Hubei University of Technology, Wuhan 430068, China
Published: 2025-09-25 doi: 10.20040/j.cnki.1000-7709.2025.20241961
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In order to further improve the control performance of water turbine, a control strategy based on the adaptive chaotic particle swarm optimization variable domain fuzzy PID (CAS-PSO-VFPID) was proposed for the turbine regulation system. Firstly, a model of nonlinear hydraulic turbine regulation system was established, and a variable domain fuzzy controller was constructed according to the system model. Then, the adaptive chaotic particle swarm optimization (CAS-PSO) was used to optimize and design the variable domain fuzzy controller, and the CAS-PSO-VFPID controller was obtained. Finally, the applicability of the nonlinear turbine regulation system model was verified by simulation. The multiple control strategies under different working conditions were compared and simulated with Whale Algorithm Optimization Variation Domain Fuzzy PID (WOA-VFPID), Standard Particle Swarm Optimization PID (PSO-PID), Standard Particle Swarm Optimization Optimization Variable Domain Fuzzy PID (PSO-VFPID). The simulation results show that the system convergence speed and optimization ability of the CAS-PSO-VFPID control strategy are fast, which can effectively improve the response speed and accuracy of the hydraulic turbine regulation system, and make the system have better dynamic stability.

hydro turbine regulation system  /  fuzzy control of variables  /  CAS-PSO algorithm  /  control parameter optimization
Miao ZHOU, Shu-qing WANG, Kai-yuan CHEN. Control Parameters Optimization of Hydraulic Turbine Regulation System Based on CAS-PSO-VFPID Algorithm[J]. Water Resources and Power, 2025 , 43 (9) : 192 -196 . DOI: 10.20040/j.cnki.1000-7709.2025.20241961
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Year 2025 volume 43 Issue 9
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doi: 10.20040/j.cnki.1000-7709.2025.20241961
  • Receive Date：2024-10-19
  • Online Date：2025-12-15
  • Published：2025-09-25
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  • Received：2024-10-19
  • Revised：2024-12-10
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Affiliations
    a.School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
    b.Hubei Provincial Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation Control, Hubei University of Technology, Wuhan 430068, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2025.20241961
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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Percentage of
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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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