试车台供气压缩机组并网控制方法
收稿日期: 2022-03-31
修回日期: 2022-04-25
录用日期: 2022-05-24
网络出版日期: 2022-06-08
基金资助
中国航发四川燃气涡轮研究院稳定支持项目(GJCZ?0013?19)
Grid-connection control method for air supply compressor unit of altitude test facility
Received date: 2022-03-31
Revised date: 2022-04-25
Accepted date: 2022-05-24
Online published: 2022-06-08
Supported by
Stability Support Project of AECC Sichuan Gas Turbine Establishment(GJCZ-0013-19)
针对中国试车台供气压缩机组并网主要采用人工操作的现状，提出一种基于规则的专家系统，开展了供气压缩机组的并网仿真及相关验证实验。基于某型试车台供气压缩机组的结构，构建机组中压缩机、管网、换热器以及各个不同口径蝶阀的动态仿真模型；基于蝶阀连续动作阀位信号构建蝶阀执行机构动态模型；分析历史运行数据，构建基于规则的专家系统。在MATLAB/Simulink平台上搭建试车台供气压缩机组的并网仿真模型，进行并网控制仿真，并进行实验验证。实验结果表明，压缩机入口压力平均相对误差为3.12%，压缩机出口压力平均相对误差为0.44%，压比平均相对误差为3.23%。并网过程中实际机组最大压比为3.69，最小压比为2.27，满足机组安全要求，证明该控制策略具备可靠性。
董彦钊 , 周延 , 邹继贤 , 王信 , 李晓冬 , 崔洪帅 . 试车台供气压缩机组并网控制方法[J]. 航空学报, 2023 , 44(9) : 327221 -327221 . DOI: 10.7527/S1000-6893.2022.27221
In view of the situation that the grid-connection of air supply compressor units of the Altitude Test Facility （ATF） in China mainly adopts manual operation， an expert system based on manual operation experience was proposed， and the grid-connection simulation and related experiments were conducted. We developed dynamic simulation models for the compressor， ducting， heat exchanger and butterfly valves of different diameters， a dynamic simulation model of the butterfly valve actuator based on the continuous action position signal of the butterfly valve， as well as a rule-based expert system based on a historical operating dataset. The dynamic simulation model of the air supply compressor unit of the ATF was built with the MATLAB/Simulink platform， and a grid-connection control simulation was carried out. Experimental results indicate that the average relative errors of the compressor inlet pressure， compressor outlet pressure， and the pressure ratio were 3.12%， 0.44%， and 3.23%， respectively. In the process of grid-connection， the maximum and minimum pressure ratios in the experiment were 3.69 and 2.27， respectively， satisfying the safety requirements of the unit and proving the reliability of the control strategy.
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