摘要
针对发电单元高阶非线性完整数学模型(锅炉、汽轮机和发电机模型),结合系统参数的不确定性,采用backstepping动态面控制方法设计了一种鲁棒自适应控制器。在反推设计过程中引入了虚拟控制器和一阶低通滤波器,从而避免了对模型非线性进行多次微分而引起的算法复杂性,使设计方法简化。理论分析和仿真结果均表明,该控制器能够保证闭环系统的半全局渐近稳定性,对系统参数的不确定性具有较强的鲁棒性,在系统发生故障时能够使系统稳定运行。
According to a complete high-order nonlinear mathematical model（boiler,turbine and generator model）of the power generation unit system with parameter uncertainties,a self-adaptive robust controller was designed based on backstepping dynamic surface control method.A virtual controller and one-order low-pass filter were introduced in backstepping design procedure,to avoid complexity of the algorithm caused by many times differentiation of the nonlinear model,which simplifies the design.Theoretical analysis and simulation results show that,the controller can ensure the semi-global asymptotical stability of the closed-loop system.For the system＇s parameter uncertainty,this controuer has strong robustness and can ensure stable operation when the system is out of order.
出处
《热力发电》
CAS
北大核心
2015年第1期100-105,111,共7页
Thermal Power Generation
基金
河北省自然科学基金资助项目(F2012203088)
关键词
发电单元
动态面控制
高阶非线性
完整数学模型
反推设计方法
参数不确定性
generating unit
dynamic surface control
higher-order nonlinear
mathematical model
backstepping design method
parameter uncertainty
