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基于遗传算法的超临界CO2压缩机防喘振自抗扰控制

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在超临界CO2压缩机运行过程中,可转导叶工作状态随压缩机转速等状态变量频繁变化,会引起压缩机喘振,严重时会导致压缩机设备损坏.针对此问题,本文采取了一种基于遗传算法的防喘振自抗扰控制方法.该方法在压气机出口处设置防喘振阀控制喘振,通过遗传算法整定自抗扰控制器,使防喘振阀的开度随转速等状态变量的变化而相应变化,进而改变出口压力,使压缩机工作在平衡点.仿真结果表明:遗传算法优化后的自抗扰控制器防喘振控制效果更优,调节时间缩短了 20%~33%,超调量减小了 30%~45%,使控制过程更加平滑,能够在稳定转速的同时抑制扰动.
Anti-surge ADRC of Supercritical CO2 Compressor based on Genetic Algorithm
During the operation of supercritical CO2 compressor,the working state of adjustable guide vane changed frequently with the compressor speed and other state variables,which will cause the com-pressor to surge,and in serious cases the compressor equipment will be damaged.To solve this problem,this paper adopted an anti-surge auto disturbance rejection control(ADRC)method based on genetic al-gorithm.This method set up an anti-surge valve at the outlet of the compressor to control surge,and used a genetic algorithm to tune the auto-disturbance rejection controller,so that the opening of the anti-surge valve changed accordingly with changes in state variables such as speed.The opening of the anti-surge valve changed the outlet pressure,allowing the compressor to operate at the equilibrium point.The simu-lation results show that the auto disturbance rejection controller optimized by genetic algorithm has better anti surge control effect,with a shortened adjustment time of 20%to 33%and a reduced overshoot of 30%to 45%,making the control process smoother and able to stabilize the speed while suppressing dis-turbances.

supercritical CO2 compressorsurgegenetic algorithmauto disturbance rejection control(ADRC)

孙韬志、曹越、司风琪

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东南大学能源热转换及其过程测控教育部重点实验室,江苏南京 210096

超临界CO2压缩机 喘振 遗传算法 自抗扰控制

国家自然科学基金江苏省基础研究计划(自然科学基金)青年基金项目

52206006BK20210240

2024

热能动力工程
中国 哈尔滨 第七0三研究所

热能动力工程

CSTPCD北大核心
影响因子:0.345
ISSN:1001-2060
年,卷(期):2024.39(9)