多变量FOPID-MAC在机炉协调控制中的应用  

Application of Multivariable Fractional Order PID-MAC in Boiler-turbine Coordinated Control

作　　者：郭伟[1,2,3] 王汉杰[3] 夏友亮 郁振波 

机构地区：[1]江苏省大气环境与装备技术协同创新中心,江苏南京210044 [2]江苏省气象能源利用与控制工程技术研究中心,江苏南京210044 [3]南京信息工程大学信息与控制学院,江苏南京210044

出　　处：《自动化仪表》2015年第8期69-73,77,共6页Process Automation Instrumentation

基　　金：江苏省高校大学生创新创业项目(编号:201410300034Z)

摘　　要：为了克服火电单元机组机炉协调控制中的多变量、强耦合、强干扰、大时滞等问题,提出了一种在状态空间方程形式下的多变量模型算法控制(MAC)与分数阶PID(FOPID)控制相结合的新型模型预测控算法MFOPID-MAC,并利用李雅普诺夫第二方法证明该算法推导出的控制律可以保证系统闭环稳定。将改进的多变量FOPID-MAC算法应用于火电单元机组的机炉协调控制系统,并进行阶跃响应、抗干扰仿真实验与绝对误差积分指标分析。仿真结果充分显示多变量FOPID-MAC控制方法具有良好的设定值跟踪特性与静态特性、较强的鲁棒性与满意的抗干扰性。In order to overcome the problems in boiler-turbine coordinated control for fossil fired power unit, e. g. , multiple variables, strong coupling and disturbance, and large time delay, etc. , the new type of multi-variable model predictive control algorithm MFOPID-MAC which combines the multi-variable model algorithm control （ MAC ） and fractional-order PID （ FOPID ） is proposed. By adopting Lyapunov the second method, it is verified that the control law derived from the algorithm can ensure the closed loop stability of the system. Step response and anti- disturbance simulation experiments of the improved MFOPID-MAC are carried out in boiler-turbine coordinated control system of fossil fired power unit, and the integral absolute error index is analyzed. The results of simulation show that the multi-variable FOPID-MAC method has satisfactory set-point tracking and static characteristics and good robustness as well as disturbance rejection capability.

关 键 词：模型算法控制(MAC) 分数阶PID控制 多变量模型 性能分析 MATLAB仿真 

分 类 号：TH89[机械工程—仪器科学与技术] TK323[机械工程—精密仪器及机械]