摘要
实现了对锅炉汽包水位的参数自调整的模糊神经控制 ,通过Matlab对其实现了控制系统的仿真 ,并且在被控模型参数有变化的情况下 ,讨论了该控制方法的鲁棒性。结果表明 ,与传统的PID方法相比 ,其控制性能更为优越。
Performed a self-adapted neural-fuzzy control system for the boiler water level, and simulated the system using Matlab. The system′s performance and robusticity were discussed when the controlled object′s parameters changes. The result shows that it works as a better control system comparing to the conventional PID control system.
出处
《安徽电气工程职业技术学院学报》
2004年第3期1-4,共4页
Journal of Anhui Electrical Engineering Professional Technique College
