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热力模拟实验机的液压系统既要求工作在大流量区域,又要求工作在微小流量区域,需要在极宽的工作范围内精确地控制锤头的位移。基于热力模拟实验机液压伺服系统的低阻尼、时变性、非线性等特点,应用传统的PID控制器不能达到理想的控制效果。结合BP神经网络的PID控制理论根据锤头在不同位置的实际值、设定值及误差在线整定参数Kp、Ki、Kd,通过测试矩形波实际曲线与设定曲线的对比得出,基于BP神经网络的PID控制方法对液压伺服的控制有了很大改进。
The thermodynamic simulator’s hydraulic system not only requires working in a large flow area but also in a small flow area, requiring precise control of the hammerhead displacement over a very wide range of work. Based on the characteristics of low damping, time-varying and non-linearity of the hydraulic servo system of the thermodynamic simulation experiment machine, the application of the traditional PID controller can not achieve the ideal control effect. Based on the PID control theory of BP neural network based on the actual value of hammerhead at different positions, set values and error online tuning parameters Kp, Ki, Kd, through the test rectangular wave actual curve and set curve comparison, based on BP nerve The network PID control method has greatly improved the hydraulic servo control.