基于改進(jìn)LMBP神經(jīng)網(wǎng)絡(luò )的地源熱泵空調控制研究

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基于改進(jìn)LMBP神經(jīng)網(wǎng)絡(luò )的地源熱泵空調控制研究
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作者單位:(南京工業(yè)大學(xué) 建筑智能化研究所, 南京 211816)
作者簡(jiǎn)介:張春輝(1989-),男,碩士研究生,主要從事建筑電氣及其智能化方向的研究。[FQ)]
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中圖分類(lèi)號:TP273
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Research of Ground Source Heat Pump Air Conditioning Control Based on Improved LMBP Neutral Network

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(Institute of Building Intelligent,Nanjing University of Technology,Nanjing 211816,China)

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摘要:

針對BP神經(jīng)網(wǎng)絡(luò )訓練速度慢并且容易陷入局部最小點(diǎn)的缺點(diǎn),研究了LM優(yōu)化算法；為解決LM算法中求解逆矩陣這一最耗時(shí)因素的問(wèn)題,提出將共軛斜量法與LMBP算法結合起來(lái),并通過(guò)Matlab編程語(yǔ)言實(shí)現,并將其應用到地源熱泵冷凍水控制回路中;通過(guò)仿真對比,結果表明這種通過(guò)算法改進(jìn)的控制器比PID控制器調節時(shí)間快約10 s、超調量小0.4,穩態(tài)誤差小,具有明顯的控制效果。

Abstract:

For BP neural network training is slow and is easy to fall into local minimum point , a optimized LM algorithm was improved. To solve the most time-consuming issue of solving the inverse matrix of factors in LM algorithm, combination of conjugate gradient method and LMBP algorithm was improved, and it was solved through the Matlab programming language, and it was applied to the ground source heat pump chilled water control loop. The simulation results show that the controller improved with algorithm is 5 seconds faster than PID controller and reduces about 0.4 overshoot, having steady-state error and control effect was very obvious.

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張春輝,張九根.基于改進(jìn)LMBP神經(jīng)網(wǎng)絡(luò )的地源熱泵空調控制研究計算機測量與控制[J].,2014,22(8):2444-2446.

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收稿日期:2014-01-09
最后修改日期:2014-03-10
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在線(xiàn)發(fā)布日期: 2014-12-16
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