摘要
针对锅炉汽包液位这一具有惯性大、滞后时间长、非线性时变特点的控制对象,该文提出了基于单神经元自适应PSD算法的汽包液位控制方法。该方法继承了传统的三冲量控制方法的优点,同时具备自学习能力,可不依赖精确模型进行控制参数的动态优化。实际应用结果表明,该方法实现了汽包液位的优化控制。
Considering boiler drum level with large inertia,big delay and nonlinear time-varying characteristics,the control method based on single neuron adaptive PSD algorithm was presented. The method inherits the advantage of the traditional three variables control method ,has self-learning ability and can optimal control parameters dynamically without an accurate model. The practical application result shows that the method achieves optimal control of drum level.
出处
《自动化与仪表》
北大核心
2014年第3期32-34,47,共4页
Automation & Instrumentation
关键词
PSD
汽包液位
单神经元自适应PSD控制
三冲量控制
proportional summation derivative （PSD）
drum level
single neuron adaptive PSD control
three variablescontrol
