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作 者:陈晓芳[1] 卜旭芳[1] 贾超[1] 白彦霞[1]
机构地区:[1]燕京理工学院,河北三河065201
出 处:《激光杂志》2017年第2期37-40,共4页Laser Journal
基 金:廊坊市科学技术局课题(2015011048)
摘 要:采用CO_2焊接逆变电源系统存在动态响应效率低,易产生爆断和飞溅,以及可靠性较低的弊端。为此,设计了基于激光焊接自动化CO_2焊接的逆变电源智能控制系统。首先设计TMS320LF2407A DSP芯片结构,以及电压、电流检测电路和短路信号检测电路,然后分析了采用模糊神经网络控制器对CO_2焊接的逆变电源进行控制的原理,通过模糊神经网络控制器调控系统燃弧过程,对焊接电压进行有效调控,确保焊接弧长的平稳,最后详细分析了系统软件设计中的主程序设计、短路控制程序以及燃弧控制程序设计、PWM波形生成的设计过程。实验结果表明,该系统具有较高的响应速度和稳定性,抗干扰性强。Use CO2 welding inverter power supply system as the low efficiency of dynamic response, easy to produce and splash, as well as the disadvantages of low reliability. Therefore, the design based on laser welding automatic CO2welding inverter power supply intelligent control system. First design TMS320LF2407A DSP chip structure, as well as the voltage, electric current detection circuit and short circuit signal detection circuit, and then analyzed the fuzzy neural network controller to the control principle of CO2 welding inverter power source, through the arc process control system, a fuzzy neural network controller for welding voltage for effective control, ensure stable welding arc length, the system software is analyzed in detail in the design of the main program design, the short circuit control program and the arc control program design, PWM waveform generated by the design process. The experimental results show that the system has high response speed and stability, strong anti-jamming.
分 类 号:TN29[电子电信—物理电子学]
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