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禽蛋孵化過程的混合智能控制
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    摘要:

    針對(duì)孵化系統(tǒng)具有強(qiáng)耦合,、強(qiáng)干擾、大滯后的特點(diǎn),,提出一種混合智能控制算法,。前級(jí)控制采用前饋補(bǔ)償解耦控制算法以消除系統(tǒng)主要控制參數(shù)的耦合關(guān)系,,后級(jí)控制根據(jù)被控制對(duì)象工況的不同,,選用模糊免疫PID控制算法或模糊控制算法,,實(shí)現(xiàn)了孵化過程中溫度,、濕度和含氧量的混合智能控制,。實(shí)際運(yùn)行結(jié)果驗(yàn)證了該控制算法的有效性,。

    Abstract:

    For an incubation control system, which is multi-variable, strongly coupled, disturbed, and lagged largely, a hybrid intelligent control algorithm was proposed. The coupling of main parameters was decoupled by the former control, which used feed-forward decoupling algorithm. According to the difference of technological condition, the fuzzy-immune PID control algorithm or fuzzy control algorithm was selected subsequently. The temperature, humidity and oxygen content were controlled well by the hybrid intelligent control algorithm. The factual running results proved that the control algorithm of the incubation system is effective.

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周國雄,熊達(dá)清,敬文舉,雷琪.禽蛋孵化過程的混合智能控制[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(1):118-122.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(1):118-122.

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