在工业生产过程中,针对纯迟延、时变、强耦合的多输入多输出现象,提出一种 基于模糊神经网络解耦和PID控制相结合,对系统进行解耦控制的方法。这种方法不需要建 立多变量对象精确的数学模型,通过对大迟延大惯性强耦合的循环流化床锅炉床温-主汽压力 对象进行仿真,其结果表明,解耦控制效果很好,具有良好的静态性、动态性及鲁棒性。 -In the industrial production process for a pure delay, time-varying, strong coupl

In this project we have used Dynamic Matrix Control algorithm which is a strategy used in predictive control for predicting the proceeding control actions in a control system. our plant is a Drum-type boiler-turbine system that is mainly used in

60t_h增压流化床锅炉压力壳的设计与研制.-60t_h pressurized fluidized bed boiler pressure vessel design and development.

混沌改进蚁群算法以及其在船舶锅炉压力控制PID中的应用研究-Chaos improved ant colony algorithm, as well as in ship boiler pressure control PID