共查询到19条相似文献,搜索用时 62 毫秒
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分析了微细孔电火花加工脉冲识别,提出以间隙平均电压、火化率偏差和火化率偏差变化为模糊控制器的3个输入控制参数,建立了微细孔电火花模糊控制加工策略,同时比较说明了模糊控制器对微孔电火花加工性能影响,实验结果说明模糊控制器对微细孔电火花加工系统更为有效,加工过程更加平稳。 相似文献
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针对微小孔电火花加工(EDM)放电环境恶劣、放电间隙状态复杂多变,以及采用传统的PID控制策略难于达到预期效果等问题,提出了一种基于多层压电陶瓷叠加驱动下的控制策略,并对其进行了控制算法研究,设计了一种微小孔电加工微进给模糊PID自适应控制系统,并进行了仿真试验来验证其控制效果。研究结果表明,采用模糊自适应控制策略能加快微进给系统的响应速度,具有稳定性好、精度高等优点,并得到了良好的控制效果,为微小孔电加工机床的实际应用打下了良好的理论基础。 相似文献
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电火花成形加工过程中放电间隙监测及模糊控制 总被引:1,自引:0,他引:1
电火花成形加工过程中放电间隙监测及模糊控制南京航空航天大学(210016)周勇1引言由于影响电火花加工过程的因素很多,而且随机性很大,因而电火花加工过程中,经常存在着稳定电弧烧伤工件的可能性。为保证加工工件精度和表面粗糙度,消除烧伤工件的隐患,要求电... 相似文献
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本文在阐述以模糊理论建立电火花加工状态的模糊鉴别模型基础上,着重介绍了为提高电火花成形加工机床的适应控制功能,模糊控制技术在电火花加工的状态鉴别和多参数自适应控制中的应用。 相似文献
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本文在阐述以模糊理论建立电火花加上状态的模糊鉴别模型基础上,着重介绍了为提高电火花成形加工机床的适应控制功能,模糊控制技术在电火花加工的状态鉴别和多参数自适应控制中的应用。 相似文献
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为实现对线切割加工中放电间隙大小的在线识别,开发了电火花线切割加工间隙放电状态检测系统。在试验的基础上,运用时序分析法研究了放电间隙大小与间隙放电状态之间的关系;构造了一个反映放电间隙大小的样本空间,并以此训练一个神经网络模型来在线识别放电间隙大小。试验表明,该模型能较好地识别放电间隙大小。 相似文献
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本文通过电火花线切割加工和电火花成型加工的三要素,电火花加工和铣削加工的比较,电火花线切割加工和电火花成型加工的共同特点和不同特点的阐述,从不同角度分析了两种不同的电火花加工方法的特点,对实际加工方法的选择和应用起到了指导作用。 相似文献
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李国富 《工业仪表与自动化装置》2005,(2):34-36
设计了一种电火花成型机床电液自动进给调节机构的电气控制系统,它克服了某些控制系统存在的体积大、价格高、安全性低、操作不便等问题,具有实用、经济、安全等特点。试验结果验证了所设计电路的有效性。 相似文献
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在分析了直流伺服系统电学方程和动力学方程的基础上,建立了二质量伺服系统的数学模型及SIMULINK仿真模型.通过MATLAB模糊工具箱和SIMULINK,实现了模糊自整定PID控制器的设计和系统仿真.仿真结果表明用模糊自整定PID控制二质量伺服系统,系统响应快,超调量小,稳定精度高. 相似文献
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R. Rajeswari 《Machining Science and Technology》2020,24(2):245-273
AbstractDie-sinking electrical discharge machining (EDM) is widely used in die and mold-making industry. Finish EDM conditions are often selected to produce good quality surfaces. Attempts to enhance the finishing capabilities using ultrasonic vibration and powder-added dielectric medium have been reported in the literature. However, the changes in the gap phenomena with ultrasonic assistance and powder addition have not been analyzed. In this article, finish EDM of hardened D3 steel has been carried out based on full factorial design of experiment with three levels of setting voltage, setting current and pulse on time. The performance of ultrasonic assisted and graphite powder-added EDM are evaluated by analyzing the voltage and current pulse trains in finishing operation for the first time. Based on two new parameters, namely energy expended over a second (E) and ratio of energy due to sparks in relation to total discharge energy (PF), the results are discussed and also compared with those obtained with conventional EDM for selected conditions. Even though E of 102.9 J (PF?=?0.862) with ultrasonic vibration is higher than E of 43.0 J (PF?=?1.0) with powder mix, the molten metal is removed effectively from the gap by ultrasonic vibration which results in a relatively better surface. The micrographs of cross-section and surface of the workpieces obtained using optical and scanning electron microscopes, respectively, also reveal their relative performance. 相似文献
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In servo-scanning 3D micro electro discharge machining (SS-3D MEDM), the depth errors of 3D micro cavities are accumulated layer by layer due to the contour scanning process with keeping discharge gap for compensating axial electrode wear in real time. In this research, the errors’ causes were analyzed, and then a layer depth constrained algorithm (LDCA) and an S-curve accelerating algorithm (SCAA) were proposed to reduce the depth errors. By LDCA, over-cutting errors can be avoided by controlling a tool-electrode feed maximum at every scanning spot. As a supplementary algorithm for LDCA, SCAA can compensate insufficient-machining errors at start and end of scanning paths. Implementation process and control strategy of the algorithms were also described. The purpose of this research is to efficiently machine complex 3D micro-cavities with high accuracies of shape and surface. By use of computer-aided manufacturing software of Pro/Engineer to plan complex 3D scanning paths, machining experiments were carried out to verify the proposed algorithms. The experimental results show: Typical 3D micro cavities <800 μm can be automatically machined, and the machining accuracies of micro surfaces and edges are obviously improved, and the depth errors can be controlled within 2 μm, and the material removal rate reaches 2.0 × 104 μm3/s with tool electrode of ∅80 μm and its rotational speed of 1000 r/min. In addition, the 3D micro cavities designed on unknown edge or hollow workpieces can be successfully formed. 相似文献
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参数自调整模糊控制在空调系统中的应用 总被引:3,自引:0,他引:3
对于典型的非线性、时变、滞后的空调系统,基于精确模型的经典控制和现代控制方法难以取得良好的控制品质。而模糊控制则因其具有无需建立被控对象数学模型,鲁棒性与抗干扰性强等特点,能很好地适应空调系统的控制要求而得到广泛的应用。在分析了基本的PID参数整定对系统性能影响的基础上。将模糊控制技术与经典PID控制相结合。建立参数自调整模糊控制器.并用MATLAB软件对该控制器进行仿真。结果表明,参数自调整模糊控制器具有较快的响应速度和较小的稳态误差,同时对被控对象的参数变化有一定的自适应能力。 相似文献