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Research on the controller of an arc welding process based on a PID neural network

Research on the controller of an arc welding process based on a PID neural network
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摘要 A controller based on a PID neural network (PIDNN) is proposed for an arc welding power source whose output characteristic in responding to a given value is quickly and intelligently controlled in the welding process. The new method syncretizes the PID control strategy and neural network to control the welding process intelligently, so it has the merit of PID control rules and the trait of better information disposal ability of the neural network. The results of simulation show that the controller has the properties of quick response, low overshoot, quick convergence and good stable accuracy, which meet the requirements for control of the welding process. A controller based on a PID neural network (PIDNN) is proposed for an arc welding power source whose output characteristic in responding to a given value is quickly and intelligently controlled in the welding process. The new method syncretizes the PID control strategy and neural network to control the welding process intelligently, so it has the merit of PID control rules and the trait of better information disposal ability of the neural network. The results of simulation show that the controller has the properties of quick response, low overshoot, quick convergence and good stable accuracy, which meet the requirements for control of the welding process.
出处 《控制理论与应用(英文版)》 EI 2008年第3期327-329,共3页
基金 National Nature Science Foundation of China (No.50575074)
关键词 Welding process Characteristic of output PID neural network CONTROLLER Welding process Characteristic of output PID neural network Controller
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