摘要
提出了一种基于模糊神经元网络的阀控马达控制方案.在系统中,将模糊控制技术与神经元网络技术相结合,构建了模糊神经元网络控制器.该控制器结合模糊控制与神经元网络各自的优点,既具有模糊控制器简单和有效的非线性控制作用,又具有神经元网络自学习和自适应能力,改善了控制系统的性能.
A new control scheme based on fuzzy neural network（FNN） for valve-controlled motor was presented. By using the control strategies of fuzzy logic and neural networks, a new control algorithm was designed to solve the control problems. The FNN controller combined fuzzy control with neural network technique. It possessed not only the simplicity and the nonlinear control ability of fuzzy control but also the learning and adaptive functions by using neural network, therefor the adaptability and performances of valve-controlled motor system was improved.
出处
《山东大学学报（工学版）》
CAS
2006年第4期96-99,共4页
Journal of Shandong University（Engineering Science）
基金
山东大学"985"一期规划建设项目"JMFM-018负载敏感液压开发平台"上进行的
关键词
阀控马达
模糊神经元网络控制
仿真
valve-controlled motor
fuzzy neural network control
simulation
