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基于云模型推理的施肥機(jī)營養(yǎng)液pH值調(diào)節(jié)過程控制
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上海市科委重點(diǎn)科技攻關(guān)項目(10DZ2212300)


Regulating Process Control of pH Value in Nutrient Solution of Fertigation Equipment Based on Cloud Model Inference
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    摘要:

    針對精準(zhǔn)施肥機(jī)營養(yǎng)液的pH值調(diào)節(jié)過程控制本質(zhì)非線性、時滯性、時變性、不確定性等特點(diǎn),建立了描述該過程的數(shù)學(xué)模型。利用云模型能夠處理定性概念和定量描述之間不確定轉(zhuǎn)換的特點(diǎn),提出了一種基于云模型推理的變論域模糊PI控制(CVFPI)算法。該算法采用正態(tài)云模型描述系統(tǒng)誤差和誤差變化率的語言值,通過X條件隸屬云和Y條件隸屬云分別實(shí)現(xiàn)規(guī)則前件和規(guī)則后件的推理,利用伸縮因子實(shí)時調(diào)整輸入輸出變量論域,由二維云推理機(jī)實(shí)現(xiàn)控制參數(shù)的在線修正。為驗(yàn)證該算法的有效性和優(yōu)越性,分別對CVFPI、VFPI、PI等3種控制算法進(jìn)行了仿真測試和田間試驗(yàn)。試驗(yàn)結(jié)果表明,提出的CVFPI控制算法能夠適應(yīng)精準(zhǔn)施肥pH值調(diào)節(jié)過程的控制要求,相比于常規(guī)PI控制算法和VFPI控制算法,在不同工作點(diǎn)條件下超調(diào)量分別減小45.3%、21.2%,均方根誤差分別減小54.9%、52.9%,在不同流量條件下超調(diào)量分別減小59.0%、48.4%,均方根誤差分別減小54.1%、37.9%,具有較好的動態(tài)特性和穩(wěn)態(tài)特性。

    Abstract:

    The pH value regulating control process has the characteristics of nonlinearity, pure hysteresis, time degeneration and uncertainty in the precision fertigation system. A model described the pH value regulating process was established. The cloud model is a model that can deal with the uncertain transition between qualitative concepts and quantitative description. Based on this, a control algorithm with cloud inference in the variable universe fuzzyPI controller (CVFPI) was proposed. In this algorithm, the normal cloud model was used to describe certain language concept corresponding to the system error and error rate. The inference of rule premise was realized by X conditional membership cloud while the inference of rule post was realized Y conditional membership cloud. A set of stretching factors with proportional exponential function was used to modify the universe of input and output variable real time, and a two dimensional inference engine based on cloud model was designed to adjust control parameters of PI controller on line. In order to verify the effectiveness and superiority of the proposed algorithm, the test platform of pH control process of the fertigation equipment was constructed. Two simulation experiments and two field experiments were carried out using CVFPI, VFPI and PI control algorithm respectively. The contrast testing results demonstrate that the proposed CVFPI control algorithm can meet the requirements of pH process control in the precision fertigation system, it has better characteristics both in dynamic process and steady state. Compared to PI and VFPI, CVFPI has smaller overshoot, shorter stable time and stronger ability of antiinterference.

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牛 寅,張侃諭.基于云模型推理的施肥機(jī)營養(yǎng)液pH值調(diào)節(jié)過程控制[J].農(nóng)業(yè)機(jī)械學(xué)報,2016,47(7):57-64. Niu Yin, Zhang Kanyu. Regulating Process Control of pH Value in Nutrient Solution of Fertigation Equipment Based on Cloud Model Inference[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(7):57-64.

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  • 收稿日期:2015-11-20
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  • 在線發(fā)布日期: 2016-07-10
  • 出版日期: 2016-07-10