| Zhou Chao（周超）*,Zhang Jinjie*,Sun Xu**,Wang Yao***.[J].高技术通讯(英文),2020,26(2):168~177 |
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| Research on optimization design method of actuator parameters with stepless capacity control system for reciprocating compressor |
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| DOI：doi：10.3772/j.issn.1006-6748.2020.02.006 |
| 中文关键词: |
| 英文关键词: reciprocating compressor, stepless capacity control system, non-dominated sorting genetic algorithm II (NSGA-II), fuzzy analytic hierarchy process (FAHP) |
| 基金项目: |
| Author Name | Affiliation | | Zhou Chao（周超）* | (*Compressor Health and Intelligent Monitoring Center of National Key Laboratory of Compressor Technology, Beijing University of Chemical Technology, Beijing 100029, P.R.China) | | Zhang Jinjie* | (*Compressor Health and Intelligent Monitoring Center of National Key Laboratory of Compressor Technology, Beijing University of Chemical Technology, Beijing 100029, P.R.China) | | Sun Xu** | (**State Key Laboratory of Compressor Technology, Anhui Provincial Laboratory of Compressor Technology, Hefei 230031, P.R.China) | | Wang Yao*** | (***Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-End Machinery, Beijing University of Chemical Technology,Beijing 100029, P.R.China) |
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| 中文摘要: |
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| 英文摘要: |
| Actuator and hydraulic system parameters have great influence on the performance, safety and reliability of the stepless capacity control system of reciprocating compressor. Due to the diversity and complex relationship of parameters, traditional parameters selected and calculated based on feasibility can’t make the system run efficiently, have limitations, and may have adverse effects on the system or compressor. Therefore, taking the spring stiffness of the actuator and the impact velocity of ejection, the inlet oil pressure of the hydraulic system, and the indicated power deviation of the compressor as objective functions, the multi-parameter and multi-objective optimization research of the actuator and hydraulic system with the stepless capacity control system based on non-dominated sorting genetic algorithm II (NSGA-II) is carried out.Based on fuzzy analytic hierarchy process (FAHP), the optimal solution is selected from the Pareto front, and compared with the traditional design value, the result is better than that obtained by the traditional design method. |
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