铝合金脉冲MIG焊过程解耦控制模型及仿真
Modeling and simulation of decoupling control system of aluminum pulsed MIG welding
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摘要: 针对铝合金脉冲MIG焊存在多参数强烈耦合并严重影响过程控制稳定性的问题,建立了其多输入多输出(MIMO)控制模型。在此基础上,运用多变量控制理论,设计了神经网络PID多变量强耦合时变控制系统。介绍了该控制器的结构和算法,分析了控制对象的特点,对铝合金脉冲MIG焊过程进行了仿真。结果表明,采用神经网络PID控制的神经网络对象逆模型解耦控制系统结构和解耦算法来控制铝合金MIG焊接过程,取得满意的动态和稳态性能。为实现铝合金脉冲MIG焊过程控制奠定了理论基础。Abstract: In aluminum pulsed MIG welding, too much coupled welding parameters influence the stabilization of control sy stem of welding process.In order to solve above problem, the multi-input multi-output (MIMO)control model of aluminum pulsed MIG welding was presented.Based on thisMIMO model, a neural network inverse plant decoupling control system with the neural network PID controller was designed to control welding process.The structure and the principle of this control system were given, and the characteristics of control system were analyzed.The simulation results show that the satisfied dynamic and static performance had been obtained.It provides the theoretical basis to realize the process control in aluminum pulsedMIG welding.