计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
19期
256-261
,共6页
解耦控制%制粉系统%多变量%神经网络%自寻优
解耦控製%製粉繫統%多變量%神經網絡%自尋優
해우공제%제분계통%다변량%신경망락%자심우
decoupling control%coal pulverizing system%multivariable%neural network%self optimizing
针对制粉系统多变量、强耦合、料位测量不准确造成的经济性能低等特性，提出了基于料位自寻优多神经元PID制粉系统解耦控制。根据现场采集的磨音信号、磨机负荷等参数，采用料位自寻优算法能实时搜索磨机最大出力，使系统始终运行在最佳工作点；根据系统在最佳工作点的料位控制量采用改进权重的神经网络PID算法，实现各层神经元的连接权重值调整，降低系统控制误差，使系统实现解耦控制。仿真和实际控制结果表明，该算法具有较高的准确率，能适应不同工况下出口温度、入口负压以及料位的稳定控制，不仅实现了制粉系统的闭环自动控制，而且提高了系统制粉效率，降低了制粉单耗，最终达到节能目标。
針對製粉繫統多變量、彊耦閤、料位測量不準確造成的經濟性能低等特性，提齣瞭基于料位自尋優多神經元PID製粉繫統解耦控製。根據現場採集的磨音信號、磨機負荷等參數，採用料位自尋優算法能實時搜索磨機最大齣力，使繫統始終運行在最佳工作點；根據繫統在最佳工作點的料位控製量採用改進權重的神經網絡PID算法，實現各層神經元的連接權重值調整，降低繫統控製誤差，使繫統實現解耦控製。倣真和實際控製結果錶明，該算法具有較高的準確率，能適應不同工況下齣口溫度、入口負壓以及料位的穩定控製，不僅實現瞭製粉繫統的閉環自動控製，而且提高瞭繫統製粉效率，降低瞭製粉單耗，最終達到節能目標。
침대제분계통다변량、강우합、료위측량불준학조성적경제성능저등특성，제출료기우료위자심우다신경원PID제분계통해우공제。근거현장채집적마음신호、마궤부하등삼수，채용료위자심우산법능실시수색마궤최대출력，사계통시종운행재최가공작점；근거계통재최가공작점적료위공제량채용개진권중적신경망락PID산법，실현각층신경원적련접권중치조정，강저계통공제오차，사계통실현해우공제。방진화실제공제결과표명，해산법구유교고적준학솔，능괄응불동공황하출구온도、입구부압이급료위적은정공제，불부실현료제분계통적폐배자동공제，이차제고료계통제분효솔，강저료제분단모，최종체도절능목표。
For the low economic performance caused by coal pulverizing system multi-variable, strong coupling and the inaccuracy material level measurement, a multi-neuron PID decoupling control of coal pulverizing system based on the material level’s of self optimizing is proposed. Firstly, the mill maximum output has been found with the real-time material level searching optimization algorithm according to the mill sound and mill load parameters, and the system can run at the best operating point. Then the weight improving neural network PID algorithm is used according to the material level con-trolling quantity at the best operating point. The simulations and results of actual control show that the algorithm has higher accuracy and is able to adapt to the stable control of exit’s temperature, inlet’s negative pressure and the material level under different conditions. Not only closed-loop automatic control of the milling system has been achieved, but also the efficiency of the pulverizing system has been improved, which makes the consumption of flour milling reduced, in order to achieve the optimization target of energy saving ultimately.
