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Development and program implementation of elements for identification of the electromagnet condition for movable element position control

机译:用于识别用于可移动元件位置控制的电磁体条件的元素的开发和方案实施

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Developing the experimental design of new electromagnetic constructions types in engineering industry enterprises requires solutions of two major problems: regulator's parameters setup and comprehensive testing of electromagnets. A weber-ampere characteristic as a data source for electromagnet condition identification was selected. Present article focuses on development and implementation of the software for electromagnetic drive control system based on the weber-ampere characteristic measuring. The software for weber-ampere characteristic data processing based on artificial neural network is developed. Results of the design have been integrated into the program code in Lab VIEW environment. The license package of Lab VIEW graphic programming was used. The hardware is chosen and possibility of its use for control system implementation was proved. The trained artificial neural network defines electromagnetic drive effector position with minimal error. Developed system allows to control the electromagnetic drive powered by the voltage source, the current source and hybrid sources.
机译:开发工程工业企业新型电磁结构类型的实验设计需要解决两个主要问题:稳压器参数设置和综合电磁铁测试。选择了作为电磁体识别的数据源的Weber-Ampere特性。本文侧重于基于Weber-Ampere特征测量的电磁驱动控制系统软件的开发和实施。开发了基于人工神经网络的Weber-Ampere特征数据处理的软件。设计的结果已集成到实验室视图环境中的程序代码中。使用实验室视图图形编程的许可证包。选择了硬件,并证明了其用于控制​​系统实现的可能性。培训的人工神经网络具有最小误差的电磁驱动效应位置。开发系统允许控制由电压源,电流源和混合源供电的电磁驱动器。

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