高温多相流风洞模糊PID自整定神经元解耦补偿控制  

FUZZY PID SELF-REGULATION NEURON DECOUPLING COMPENSATION CONTROL IN HIGH-TEMPERATURE MULTIPHASE FLOW WIND TUNNEL

作　　者：李建新[1] 王书鹏[2] 袁镇福[2] 

机构地区：[1]浙江大学宁波理工学院,浙江宁波315100 [2]浙江大学能源清洁利用国家重点实验室,浙江杭州310027

出　　处：《热力发电》2010年第8期23-27,共5页Thermal Power Generation

基　　金：国家自然科学基金重点项目(60534030)资助

摘　　要：高温多相流风洞可以模拟锅炉运行时烟道中气固两相流的流动状态。为此,根据高温多相流风洞的工艺过程,可进行其变量之间的耦合关系分析。针对高温多相流风洞变量之间的强耦合关系设计了1套模糊PID参数自整定与神经元解耦补偿器相结合的高温多相流风洞控制方案。仿真结果表明,该控制方案对于具有多变量强耦合特性的高温多相流风洞对象的解耦控制性能良好。In high-temperature multi-phase flow wind tunnel,the flowing state of gas-solid two-phase in the flue duct in case of a boiler being in operation,can be simulated.For this,based on technological process of high-temperature multiphase flow wind tunnel,the coupling relationship among the variables can be analysed.Directing against the strong coupling relationship among variables in high-temperature multiphase flow wind tunnel,a control scheme,which combines fuzzy PID pamameter self-regulation with a neuron decoupling compensator,for the high-temperature multiphase flow wind tunnel has been designed.Result of emulation shows that the said control scheme is suitable for decoupling control of an object in high-temperature multiphase flow wind tunnel boasting strong coupling of multi-variables,and has good control performance.

关 键 词：高温多相流 风洞 模糊PID 参数自整定 解耦补偿控制 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]