摘要
为了提高连铸机电液伺服控制能力,提出基于自适应模糊PID的连铸机电液伺服控制方法,构建连铸机电液伺服控制的动力学模型和运动学模型,计算连铸机电液伺服控制的未知载荷和质量参数,采用双连杆柔性空间驱动方法进行连铸机电液伺服结构参数识别,考虑连铸机电液迭代跟踪误差和控制输入迭代更新率进行连铸机电液伺服结构的自适应模糊PID控制,对连铸机电液伺服系统的控制参量进行约束模型构建,得到控制目标函数,设计3层前向变结构PID神经网络,采用自适应的加权学习方法进行连铸机电液伺服控制系统的PID参数调节和深度学习,实现铸机电液伺服控制系统的自适应模糊控制。仿真结果表明,采用该方法进行连铸机电液伺服控制的自适应性能较好,控制输出的稳定性较高,提高了连铸机电液伺服效能。
In order to improve the ability of continuous casting machine electro-hydraulic servo control,a method of continuous casting machine electro-hydraulic servo control based on adaptive fuzzy PID is put forward,and the dynamic model and motion model of continuous casting machine electro-hydraulic servo control are constructed.The unknown load and quality parameters of continuous casting machine electrohydraulic servo control are calculated,and the parameters identification of continuous casting machine electro-hydraulic servo structure has been made by using the flexible space driving method of double links.The adaptive fuzzy PID control of the continuous casting machine electro-hydraulic servo structure is carried out by considering the electro-hydraulic iterative tracking error and the iterative update rate of the control input.The control parameters of the continuous casting machine electro-hydraulic servo system are constructed by the constraint model,and the control objective function is obtained.A three-layer forward variable structure PID neural network is designed.The PID parameter adjustment and deep learning of the continuous casting machine electro-hydraulic servo structure is carried out by using the adaptive weighted learning method to realize adaptive fuzzy control of continuous casting machine electro-hydraulic servo control system.The simulation results show that the adaptive performance of continuous casting machine electro-hydraulic servo control by using this method is better,the stability of control output is higher,and the service efficiency of continuous casting machine electro-hydraulic servo is improved.
引文
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