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燃?xì)獍l(fā)動(dòng)機(jī)調(diào)速控制與試驗(yàn)
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    摘要:

    將神經(jīng)網(wǎng)絡(luò)與PID控制器相結(jié)合,，構(gòu)成了神經(jīng)網(wǎng)絡(luò)非線性PID（NNXPID）控制器。將該方法應(yīng)用到發(fā)動(dòng)機(jī)轉(zhuǎn)速控制中,，測試了發(fā)動(dòng)機(jī)的轉(zhuǎn)速階躍變化工況,、熱機(jī)啟動(dòng)工況以及負(fù)荷突加工況，結(jié)果顯示NNXPID既具有PID拉制器結(jié)構(gòu)簡單,、參數(shù)物理意義明確,、穩(wěn)態(tài)性能良好的優(yōu)點(diǎn)，又具有神經(jīng)網(wǎng)絡(luò)自學(xué)習(xí),、自適應(yīng)的能力,，還具有模糊控制的快速響應(yīng)、智能調(diào)節(jié)的功能,。NNXPID控制下的燃?xì)獍l(fā)動(dòng)機(jī)的穩(wěn)定調(diào)速率小于5%,，轉(zhuǎn)速波動(dòng)率小于0.5%，突加負(fù)荷瞬時(shí)調(diào)速率小于10%,，穩(wěn)定時(shí)間小于5s,，具有很好的動(dòng)態(tài)和靜態(tài)性能。

    Abstract:

    A new neural network nonlinear PID controller (NNXPID) to enhance the performance of the system was proposed. It is easily accomplished by transmitting the proportion, integral, differential coefficient of PID to the neural network to train. The NNXPID was applied in the engine speed controller. The results from the experiment showed that the NNXPID controller has very good dynamic and static properties. Under the control of NNXPID, the steady speed regulation is lower than 5%, the fluctation rate of speed is lower than 0.5%, the instantaneous speed regulation is lower than 10%, and the time required to steady speed is lower than 5s.

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徐振軍,楊昭,方箏.燃?xì)獍l(fā)動(dòng)機(jī)調(diào)速控制與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(12):7-9.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(12):7-9.

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