柔性Smith预估控制在循环流化床机组协调控制系统中的应用设计  

Application Design of Flexible Smith Predictive Control in Coordinated Control System of Circulating Fluidized Bed Unit

作　　者：冯荣荣 田亮[1] FENG Rongrong;TIAN Liang(School of Control and Computer Engineering,North China Electric Power University,Baoding,Hebei 071003,China)

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003

出　　处：《广东电力》2021年第2期108-114,共7页Guangdong Electric Power

基　　金：国家重点研发计划项目(2017YFB0902100);中央高校基本科研业务费专项资金资助项目(2017MS132)。

摘　　要：掺烧煤矸石、泥煤、生物质等燃料以及深调峰运行使得循环流化床机组呈现出更明显的大迟延特性,并且迟延时间随燃料性质变化而变化,传统PID控制难以取得良好的控制效果,为此提出将柔性Smith预估控制应用于循环流化床机组协调控制系统中。首先依据循环流化床机组机侧闭环调节方式下燃料量对热量信号的传递函数,在直接能量平衡(direct energy balance,DEB)控制方案基础上,设计PID+Smith预估控制形式的锅炉主控,用以补偿对象大迟延特性;其次针对迟延时间的不确定性,在Smith预估控制回路中增加1个柔性因子,在对象迟延时间变化时,使锅炉侧控制器在偏向于PID控制和Smith预估控制之间做柔性切换。仿真和现场调试表明,此设计能兼顾控制品质和燃料适应性的要求。Blending combustion of coal gangue,peat,biomass and other fuels and deep peak shaving operation cause the circulating fluidized bed unit show more obvious large delay characteristics,and the delay time varies with the change of fuel properties,while the traditional PID control is difficult to achieve good control effect.Therefore,this paper proposes to use the flexible Smith predictive control to the coordinated control system of the circulating fluidized bed unit.Firstly,according to the transfer function of the heat signal versus the fuel quantity in the machine-side closed-loop power regulation mode,the paper designs the boiler main control of PID+Smith predictive control based on the direct energy balance(DEB)scheme for compensating the large delay characteristic of the object.Secondly,to solve the uncertainty of delay time,it adds a flexibility factor to the Smith predictive control loop,which can realize flexible switch of the boiler side controller between the PID control model and the Smith predictive control mode when the delay time varies.The simulation and local dispatching show that the design can satisfy the need of control quality and fuel adaptability.

关 键 词：柔性Smith预估控制 循环流化床 大迟延 时变性 

分 类 号：TM621[电气工程—电力系统及自动化] TK323[动力工程及工程热物理—热能工程]