摘要
从主冷凝器的特性出发,对真空-凝水过冷度控制系统进行了深入地研究,详细阐述了系统的设计准则、设计模型及实现方法。该系统硬件采用了数字信号处理芯片,以保证系统的实时性,软件采用了模糊-神经网络算法以克服系统模型的不确定性。结果表明,所设计的系统工作稳定可靠,具有较强的鲁棒性。
Based on character of host condensator, degree of super-cooling of vacuum-condensed water is researched. System design rule, model and realization method are illustrated in detail. The system hardware is implemented by Digital Signal Processing （DSP） chip to ensure real-time performance of system, while software is formed by fuzzy-neural networks to overcome uncertainty of system model. Simulation results show that the designed system is stable and reliable with strong robustness.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第3期356-358,共3页
Journal of University of Electronic Science and Technology of China
基金
中国船舶重工集团预研基金资助项目(2002309)
关键词
模糊控制
冷凝器
过冷度
神经网络
数字信号处理
fuzzy control
condensator
degree of super-cooling
neural networks
digital signal processing
