| 气辅注塑成型注气压力的模糊神经网络控制研究 |
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| 引用本文： | 欧长劲.气辅注塑成型注气压力的模糊神经网络控制研究[J].中国工程科学,2007,9(5):27-32. |
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| 作者姓名： | 欧长劲 |
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| 作者单位： | 浙江工业大学教育部机械制造及自动化重点实验室,杭州,310014 |
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| 基金项目： | 国家自然科学基金;浙江省科技攻关项目 |
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| 摘 要： | 针对气辅注塑成形的注气压力精确控制要求,设计了具有５层结构的模糊神经网络控制器和控制算
法,利用神经网络的学习能力实现对模糊逻辑规则的优化,改善了系统的适应性。对系统３段压力控制的仿真
分析,验证了模糊神经网络控制模型的可行性,控制效果良好。
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| 关 键 词： | 气体辅助注射成型 模糊神经网络 注气压力控制 |
| 文章编号： | 1009-1742（2007）05-0027-06 |
| 收稿时间： | 2006/8/29 0:00:00 |
| 修稿时间： | 2006-08-292006-10-26 |
Pressure in Gas-assisted Injection Molding |
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| Ou Chang-Jin.Pressure in Gas-assisted Injection Molding[J].Engineering Science,2007,9(5):27-32. |
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| Authors: | Ou Chang-Jin |
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| Affiliation: | The MOE Key Laboratory of Mechanical manufacture and Automation, Zhejiang University of Technology, Hangzhou 310014, China |
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| Abstract: | In this study, an effective control method and strategy based on fuzzy neural network has been developed for gas injection pressure accurate control in gas-assisted injection. A fuzzy neural network controller with five layers and its control algorithm are established. The learning ability of neural network is used to optimize the rules of the fuzzy logic so as to improve the adaptability of system. The simulation of the system capability and three segmental injected pressure control are carried out under the environment of MATLAB and the results show that this theoretic model is feasible, and the control system has good characteristics and control action. |
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| Keywords: | gas-assisted injection molding fuzzy neural network gas-injection pressure control |
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