基于模糊PID的超高壓控制方法研究
發(fā)布時間:2019-03-15 15:23
【摘要】:將模糊PID的控制方法應(yīng)用于超高壓試驗臺,實現(xiàn)了超高壓的比例精確控制。針對普通比例溢流閥無法調(diào)節(jié)超高壓的問題,設(shè)計了超高壓實現(xiàn)方案。為驗證方案的可行性,用AMESim搭建了仿真模型,并確立了液阻大小、超高壓泵的排量與轉(zhuǎn)速范圍等關(guān)鍵參數(shù)。為克服傳統(tǒng)PID控制算法的不足,通過AMESim-Simulink聯(lián)合仿真,并利用MATLAB的Fuzzy工具箱進(jìn)行模糊PID控制器的設(shè)計。最后,搭建了Real-Time x PC Target實驗平臺,并進(jìn)行了實驗驗證。實驗結(jié)果表明系統(tǒng)的控制精度與超調(diào)均得到了改善。
[Abstract]:The fuzzy PID control method is applied to the ultra-high pressure test-bed, and the precise control of the ratio of the ultra-high pressure is realized. Aiming at the problem that the ordinary proportional relief valve can not adjust the ultra-high pressure, the realization scheme of the ultra-high pressure is designed. In order to verify the feasibility of the scheme, the simulation model was built with AMESim, and the key parameters such as liquid resistance, displacement and rotational speed range of the ultra-high pressure pump were established. In order to overcome the deficiency of traditional PID control algorithm, the fuzzy PID controller is designed by AMESim-Simulink co-simulation and Fuzzy toolbox of MATLAB. Finally, the Real-Time x PC Target experimental platform is built, and the experimental verification is carried out. The experimental results show that the control accuracy and overshoot of the system are improved.
【作者單位】: 浙江大學(xué)流體動力與機(jī)電系統(tǒng)國家重點實驗室;
【分類號】:TP273
,
本文編號:2440748
[Abstract]:The fuzzy PID control method is applied to the ultra-high pressure test-bed, and the precise control of the ratio of the ultra-high pressure is realized. Aiming at the problem that the ordinary proportional relief valve can not adjust the ultra-high pressure, the realization scheme of the ultra-high pressure is designed. In order to verify the feasibility of the scheme, the simulation model was built with AMESim, and the key parameters such as liquid resistance, displacement and rotational speed range of the ultra-high pressure pump were established. In order to overcome the deficiency of traditional PID control algorithm, the fuzzy PID controller is designed by AMESim-Simulink co-simulation and Fuzzy toolbox of MATLAB. Finally, the Real-Time x PC Target experimental platform is built, and the experimental verification is carried out. The experimental results show that the control accuracy and overshoot of the system are improved.
【作者單位】: 浙江大學(xué)流體動力與機(jī)電系統(tǒng)國家重點實驗室;
【分類號】:TP273
,
本文編號:2440748
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