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Variable universe fuzzy control of adjustable hydraulic torque converter based on multi-population genetic algorithm
Mingxue, Li1; Guolai, Yang1; Xiaoqing, Li2; Guixiang, Bai1
刊名IEEE Access
2019
卷号7页码:29236-29244
关键词Fuzzy control Genetic algorithms Hydraulic torque converters Servomechanisms Torque Adaptive Control Adaptive fuzzy controller Anti-interference Contraction-expansion factor Guide vane openings Multi-population genetic algorithm Variable universe Variable universe fuzzy controls
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2892181
英文摘要In order to optimize the control method of guide vane opening in an adjustable hydraulic torque converter, this paper presents a variable universe fuzzy control method for servo system of the adjustable hydraulic torque converter based on the multi-population genetic algorithm. This control method got a kind of adaptive control as optimizing proportional exponential contraction-expansion factors of the current loop with a genetic algorithm, thus transforming the fuzzy variable universe of the current loop. In this method, we designed a variable universe adaptive fuzzy controller with S-function on an adjustable hydraulic torque converter servo system and conducted some simulation experiments. The simulation results showed that the variable universe control based on genetic algorithm improved the anti-interference and robustness of adjustable hydraulic torque converter servo system compared with control methods in the previous literature. This control method could be a desirable way to adjust guide vane opening with the properties of better accuracy, rapidity, and reliability. Thus, the control method we designed will provide an effective, fast, and stable control strategy for the uncertain system with the properties of nonlinearity, strong disturbance, and uncertain time-varying. © 2019 IEEE.
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
WOS记录号WOS:000462957800001
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/114235]  
专题新能源学院
能源与动力工程学院
兰石研究院(新区研究院)
作者单位1.School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou; 730050, China;
2.School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou; 730050, China
推荐引用方式
GB/T 7714
Mingxue, Li,Guolai, Yang,Xiaoqing, Li,et al. Variable universe fuzzy control of adjustable hydraulic torque converter based on multi-population genetic algorithm[J]. IEEE Access,2019,7:29236-29244.
APA Mingxue, Li,Guolai, Yang,Xiaoqing, Li,&Guixiang, Bai.(2019).Variable universe fuzzy control of adjustable hydraulic torque converter based on multi-population genetic algorithm.IEEE Access,7,29236-29244.
MLA Mingxue, Li,et al."Variable universe fuzzy control of adjustable hydraulic torque converter based on multi-population genetic algorithm".IEEE Access 7(2019):29236-29244.
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