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微弧氧化智能控制系统设计
引用本文:易宏,孔凡友,秦林,马华.微弧氧化智能控制系统设计[J].应用声学,2017,25(3):88-92.
作者姓名:易宏  孔凡友  秦林  马华
作者单位:太原理工大学 材料科学与工程学院,太原 030024,太原理工大学 材料科学与工程学院,太原 030024,太原理工大学 材料科学与工程学院,太原 030024,太原理工大学 材料科学与工程学院,太原 030024
基金项目:山西省留学回国人员科研经费资助项目(2013-030)。
摘    要:为了解决当前微弧氧化系统数字化程度不高,人机交互不够便捷的问题,提出了一种基于DSP的微弧氧化智能控制系统;完成了微弧氧化系统框架、电源硬件和电源系统软件的设计;采用软件PID和硬件PID调节相配合的方法使电源输出稳定性和实时性都得到了提高;采用了深度信念网络模型对微弧氧化试样的膜层厚度进行预测,同时通过外部存储对运行数据进行存储有效提高了系统的人机交互友好性;实际应用表明,该系统操作方便、实时性好、工艺适应性好、可扩展性好,达到了设计要求。

关 键 词:DSP  深度信念网络  实时监控  微弧氧化
收稿时间:2016/11/7 0:00:00
修稿时间:2016/11/17 0:00:00

Design of Intelligent Control System of Micro-arc Oxidation
Yi Hong,Kong Fanyou,Qin Lin and Ma Hua.Design of Intelligent Control System of Micro-arc Oxidation[J].Applied Acoustics,2017,25(3):88-92.
Authors:Yi Hong  Kong Fanyou  Qin Lin and Ma Hua
Institution:School of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China,School of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China,School of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China and School of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Abstract:In order to solve the micro-arc oxidation system problem, such as:digitization is low and the operation is not convenient enough,a control system scheme of artificial intelligence in micro-arc oxidation power supply based on DSP is proposed. Micro-arc oxidation system, the hardware of the power supply and software of the power supply is designed at the same time. Power output is stable and real-time have been improved by the use of software PID and hardware PID adjustment. In addition, the belief network model is used to predict the film thickness after micro-arc oxidation,at the same time through the storage of operational data effectively improve the system''s human-computer interaction. Practical application shows that the system is easy to operate, excellent process adaptability, scalability excellent and real-time outstanding meet the design requirements.
Keywords:DSP  belief network  real time monitoring  micro-arc oxidation
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