摘要
针对精馏塔温度控制这个非线性耦合对象,提出了一种模糊神经元解耦智能控制器。该控制器避免了精馏塔精确数学模型的推导和严格计算解耦算式的麻烦,是模糊逻辑控制与神经元PID控制器的结合。同时,分析了控制器的结构及其学习算法。通过仿真试验,得到了较为理想的控制效果。
This paper presented a fuzzy neural networks based intelligent controller for the temperature of distillation column. The proposed intelligent controller is the combination of fuzzy logic control and neural- PID control, and it can realize the decoupling control for VSC- HVDC. The structure and the learning algorithms of the controller is presented in detail. The new intelligent controller is tested by simulation, which shows that this controller can restore the system, when subject to a disturbance or fault, to normal state faster and better. It has effectively improved the dynamic performance of distillation column.
出处
《金属材料与冶金工程》
CAS
2009年第3期62-64,67,共4页
Metal Materials and Metallurgy Engineering
关键词
精馏塔
温度控制
神经元
解耦控制
distillation column
temperature control
neural networks
decoupling control
