摘要
针对HC轧机液压弯辊系统的非线形和时变性等特点,设计了基于遗传算法的模糊RBF神经网络智能控制系统,改善了系统的性能。
Aimed at nonlinearity and time variation of hydraulic bending roller system of HC rolling mill, a Fuzzy Radial Basis Function （RBF） Neural Network controller based on Genetic Algorithm is designed. Under the control with this controller, the system exhibits quite fair dynamic characteristic.
出处
《液压气动与密封》
2006年第4期36-38,共3页
Hydraulics Pneumatics & Seals
关键词
液压弯辊
模糊神经网络
遗传算法控制
hydraulic bending roller
fuzzy neural network
genetic algorithm control
