基于模糊PID的流式细胞仪液流主从控制系统

发布时间：2018-06-21 09:58

本文选题：流式细胞仪 + 液流系统　；参考：《液压与气动》2017年02期

【摘要】：液流系统两条主液路输出压力的平稳性、准确性是流式细胞仪功能实现的基础。针对传统液路输出压力同步性和准确性低的问题,提出通过模糊自适应PID算法对控制环中参数进行自整定的主从控制结构。根据气动控制元件动态模型与模糊控制器原理,构建主从闭环反馈控制系统,并利用Simulink对系统进行了建模,得到了不同控制信号及控制参数下系统的响应曲线。对响应曲线的分析结果表明,在流式细胞仪液流系统工作压力范围内,模糊PID控制的双液路主从系统的输出压力超调量降低8%,响应调整时间缩短1/2,同步误差小于1%,与传统PID控制的单液路相比,提高了系统压力输出的精度和稳定性。
[Abstract]:The stability and accuracy of the output pressure of the two main flow channels are the basis for the realization of flow cytometry function. Aiming at the problem of low synchronism and accuracy of the output pressure of the traditional liquid circuit, a master-slave control structure based on fuzzy adaptive pid algorithm is proposed to self-adjust the parameters in the control loop. According to the dynamic model of pneumatic control element and the principle of fuzzy controller, the master-slave closed-loop feedback control system is constructed, and the response curve of the system under different control signals and parameters is obtained by using Simulink. The analysis of the response curve shows that, in the working pressure range of the flow cytometer liquid flow system, The output pressure overshoot of the double fluid circuit master-slave system based on fuzzy pid control is reduced by 8 steps, the response adjustment time is shortened by 1 / 2, and the synchronization error is less than 1. The precision and stability of the pressure output of the system are improved compared with the single hydraulic circuit of the traditional pid control.
【作者单位】：北京信息科技大学光电测试技术北京市重点实验室;
【基金】：教育部“长江学者与创新团队”发展计划项目(IRT1212) 北京市属高等学校创新团队建设项目(IDHT20130518) 北京市教育委员会科技计划一般项目(KM201611232006)
【分类号】：TH77;TP273

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