计算机测量与控制
計算機測量與控製
계산궤측량여공제
COMPUTER MEASUREMENT & CONTROL
2009年
7期
1279-1281,1298
,共4页
神经网络%预测控制%中央空调%变流量
神經網絡%預測控製%中央空調%變流量
신경망락%예측공제%중앙공조%변류량
neural network%predictive control%central air eondition%variable flow
针对中央空调水系统的非线性、大迟延、大惯性等特点,分析了现有的控制方法在中央空调水系统控制中存在的问题;文章将神经网络与预测控制相结合直接应用于非线性大延迟的中央空调控制系统.该控制方法克服了单纯PID控制对大迟延大惯性对象调节品质差、抗干扰性弱的缺点,神经网络预测控制还有效地补偿了传统预测控制基于线性模型的局限性;工程实例表明,该算法具有优良的控制性能,有利于工程实现.
針對中央空調水繫統的非線性、大遲延、大慣性等特點,分析瞭現有的控製方法在中央空調水繫統控製中存在的問題;文章將神經網絡與預測控製相結閤直接應用于非線性大延遲的中央空調控製繫統.該控製方法剋服瞭單純PID控製對大遲延大慣性對象調節品質差、抗榦擾性弱的缺點,神經網絡預測控製還有效地補償瞭傳統預測控製基于線性模型的跼限性;工程實例錶明,該算法具有優良的控製性能,有利于工程實現.
침대중앙공조수계통적비선성、대지연、대관성등특점,분석료현유적공제방법재중앙공조수계통공제중존재적문제;문장장신경망락여예측공제상결합직접응용우비선성대연지적중앙공조공제계통.해공제방법극복료단순PID공제대대지연대관성대상조절품질차、항간우성약적결점,신경망락예측공제환유효지보상료전통예측공제기우선성모형적국한성;공정실례표명,해산법구유우량적공제성능,유리우공정실현.
In accordance with the features of aqueous system of central air condition, e. g. nonlinearity, large time delay and large inertia, we analyze the existing control methods which exist in the central air conditioning aqueous system control. This paper integrates the neural network and the predictive control directly in the non-linear big detention central air conditioning control system. The disadvantages of pure PID for objects with large time delay and large inertia, i. e. poor control quality, weak capability of anti _ interference are overcome by this method. The experiments indicated that this algorithm which has the fine control performance is simple and advantageous to the project realization.