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WSN節(jié)點(diǎn)溫室環(huán)境試驗(yàn)系統(tǒng)的預(yù)測(cè)解耦控制
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國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)資助項(xiàng)目(2006AA10Z258);江蘇高校優(yōu)勢(shì)學(xué)科建設(shè)工程資助項(xiàng)目


Predictive Decoupled Control of WSN Nodes Greenhouse Environment Simulation Experimental System
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    摘要:

    針對(duì)無(wú)線傳感網(wǎng)絡(luò)(WSN)節(jié)點(diǎn)溫室環(huán)境模擬試驗(yàn)系統(tǒng)中溫濕度的強(qiáng)耦合特性,,提出了一種基于動(dòng)態(tài)矩陣控制算法的自適應(yīng)解耦方法,。通過(guò)前饋補(bǔ)償措施消除溫度和濕度通道間的相互影響,,設(shè)計(jì)一種基于加權(quán)方式的自適應(yīng)解耦算法,,實(shí)現(xiàn)了不同工況下耦合參數(shù)的在線調(diào)整,,從而有效克服了模型嚴(yán)重失配對(duì)控制精度的影響,。仿真和試驗(yàn)結(jié)果表明,,該自適應(yīng)預(yù)測(cè)解耦方法與傳統(tǒng)PID控制算法相比,,大大提高了系統(tǒng)的控制性能,。

    Abstract:

    In view of the strong coupling between temperature and relative humidity in the greenhouse simulation system, an adaptive decoupling method based on dynamic matrix control was proposed. Taking the measure of feedforward compensation to eliminate interaction between channels of temperature and humidity, an adaptive decoupling algorithm by weighting was designed. The proposed method can adjust the decoupling parameters online under different operating modes, effectively overcome the effect of model severe mismatch to control accuracy. Compared with the traditional PID control, simulation and experimental results both indicated the proposed strategy greatly improved the control performance.

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張榮標(biāo),褚夫環(huán),黃賢林,沈敏. WSN節(jié)點(diǎn)溫室環(huán)境試驗(yàn)系統(tǒng)的預(yù)測(cè)解耦控制[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2012,43(1):192-196. Zhang Rongbiao, Chu Fuhuan, Huang Xianlin, Shen Min. Predictive Decoupled Control of WSN Nodes Greenhouse Environment Simulation Experimental System[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(1):192-196.

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  • 在線發(fā)布日期: 2012-01-12
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