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基于模糊神经网络染整机械多机同步智能控制机理的研究 被引量:2

Research on Dyeing & Finishing Machinery Multi-Machine Synchronous Intelligent-Control Mechanism Based on Fuzzy Neural Network
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摘要 研究多机同步控制问题具有十分重要的意义。本文采用一种改进模糊神经网络方法实现染整机械多机同步智能控制。与传统的PID控制方法相比,该控制方法具有自学习和自适应能力,提高了多机同步控制的精度,增强了染整机械多机系统的抗干扰能力。 It′s very important to research multi-machine synchronous control.Lve use a ameliorated fuzzy neural network method to realize dyeing and finishing machinery multi-machine synchronous intelligent control. Compared with traditional PID control method, this modeling method which combines fuzzy control with neural network to control system has capabilities of learning and adaptive filtering, and improves precision of multi-machine synchronous control, enhances anti-jamming capability of dyeing and finishing machinery multi-machine system.
出处 《苏州大学学报(工科版)》 CAS 2004年第5期118-120,共3页 Journal of Soochow University Engineering Science Edition (Bimonthly)
关键词 模糊神经网络 染整机械 智能控制机理 多机同步控制 抗干扰 自适应能力 fuzzy neural network multi-machine synchronous control
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