NIU Peifeng, LI Mengning, SUN Lipeng, et al. Improved model-free control algorithm for multivariate coupling time-delay system[J]. CIESC Journal, 2016, (6): 2488-2494.
NIU Peifeng, LI Mengning, SUN Lipeng, et al. Improved model-free control algorithm for multivariate coupling time-delay system[J]. CIESC Journal, 2016, (6): 2488-2494.DOI: 10.11949/j.issn.0438-1157.20151611.
因此一般控制方法难以实现令人满意的控制。无模型自适应控制(model free adaptive control
MFAC)方法无须建立被控对象准确模型
可直接进行控制器的设计
考虑针对被控系统的大时滞特性
将基本MFAC算法中的控制律进行变周期差值分析
增大控制输入差值周期
对原有控制算法进行改进
并对MIMO系统实现直接解耦控制。以循环流化床锅炉燃烧过程模型为例
MATLAB计算机模拟仿真实验表明该改进算法具有良好的控制效果。
Abstract
The industrial production is the lifeline of the country's economic development
and the process control plays an important role in industrial production. Inevitably
the actual industrial process control systems are time-delay system. Besides
there are more than one controlled variable in most of the industrial production processes
and these controlled variables are coupled. All of these factors result in a huge difficulty to build an exact mathematical model for the control system
indicating that the tradition control methods cannot meet the control requirements nicely. With model-free adaptive control (MFAC) method
controller can be directly designed without exact model to reach the control objectives. Given the large time-delay of CFBB
the control law in MFAC is analyzed by changing the period of D-value
and control algorithm should be improved by increasing the period of D-value. Then
the decoupling control strategy of MIMO can be achieved. In the end
taking the circulating fluidized bed boiler combustion process as example
the MATLAB computer simulation results show that the algorithm has better control effect.