北京生物醫(yī)學(xué)工程

一氧化氮流量控制系統(tǒng)仿真研究

Simulation research on nitric oxide flow control system

作者：黃科梁劉廣清吳海嘯胡燕海

單位：寧波大學(xué)機(jī)械工程與力學(xué)學(xué)院（浙江寧波315211）<br />寧波戴維醫(yī)療器械股份有限公司（浙江寧波 315712）<br />通信作者：胡燕海，教授。E-mail: [email protected]

關(guān)鍵詞： NO吸入療法；階躍響應(yīng)法；改進(jìn)遺傳算法；模糊PID算法；氣體流量控制

分類號(hào)：R318.04

出版年·卷·期（頁(yè)碼）：2023·42·1（74-80）

摘要：

目的針對(duì)模糊規(guī)則難以人為整定的難題，開(kāi)發(fā)一種基于改進(jìn)遺傳算法整定模糊規(guī)則的模糊比例-積分-微分（proportional-integral-derivative，PID）算法，并應(yīng)用于一氧化氮流量控制系統(tǒng)。方法首先采用機(jī)理法結(jié)合階躍響應(yīng)法的形式進(jìn)行控制對(duì)象建模，再運(yùn)用MATLAB進(jìn)行控制算法的設(shè)計(jì)，最后將該算法與通用規(guī)則模糊PID算法和位置式PID算法進(jìn)行仿真對(duì)比。結(jié)果應(yīng)用了該算法的一氧化氮流量控制系統(tǒng)具備超調(diào)小、幾乎無(wú)穩(wěn)態(tài)誤差的特性，控制性能遠(yuǎn)遠(yuǎn)優(yōu)于通用規(guī)則模糊PID算法和位置式PID算法。結(jié)論該算法可解決模糊規(guī)則難以人為整定的困難，改善模糊PID控制器控制性能，對(duì)提高NO流量控制精度、降低NO吸入療法治療風(fēng)險(xiǎn)具有參考價(jià)值。

Objective Aiming at the problem that fuzzy rules are difficult to set artificially, a fuzzy proportional-integral-derivative(PID) algorithm based on improved genetic algorithm to set fuzzy rules for NO flow control system is developed. Methods First of all, mechanism method combined with step response method was used for modeling of control object. Then, MATLAB was applied to design the control algorithm. At last, this algorithm was compared with fuzzy PID algorithm based on general rule and positional PID algorithm through simulation. Results The NO flow control system applying this algorithm had the characteristics of small overshoot and almost no steady-state error, and its control performance was far better than fuzzy PID algorithm based on general rule and positional PID algorithm. Conclusions This algorithm which can solve the difficulty of artificial adjustment of fuzzy rules and improve control performance of fuzzy PID controller has reference value for improving the accuracy of NO flow control and reducing the treatment risk of inhaled NO therapy.

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