锻压技术

锻造机双缸液压同步控制系统建模及仿真

英文标题：Modeling and simulation of double cylinder hydraulic synchronous control system for forging press

作者：吴娜袁名伟

单位：天津职业大学

分类号：TP271

出版年,卷(期):页码：2020,45(1):144-150

摘要：

为了提高锻造机双缸液压同步控制的精度，以便保证锻造成形的质量，简化锻造机双缸液压同步电液伺服控制系统模型，推导同步控制系统模型，得到控制目标方程。使用单神经元PID控制算法和交叉耦合算法作为锻造机双缸液压同步控制算法，通过仿真，分别得到并对比了使用常规模糊PID控制算法与模糊-单神经元PID控制算法作用下的锻造机左右液压缸的位置跟踪误差、相对同步控制误差以及液压缸的速度和压力跟踪误差。结果表明，相比于常规模糊PID控制算法，模糊-单神经元PID控制算法下的系统能够更快速地收敛，说明模糊-单神经元PID控制算法使得锻造机双缸液压同步电液伺服控制系统具有更强的鲁棒性。实验结果与仿真结果的变化规律一致，两者之间的误差小于10%，验证了提出的锻造机双缸液压同步控制方法的可行性。

In order to improve the precision of double cylinder hydraulic synchronization control for forging press and ensure the quality of forging parts, the model of double cylinder hydraulic synchronization electro-hydraulic servo control system for forging press was simplified, the model of synchronization control system was deduced, and the control objective equation was obtained. Then, the single neuron PID control algorithm and the cross-coupling algorithm were used as the synchronous control algorithms of double-cylinder hydraulic system for forging press, and the position tracking error of left and right hydraulic cylinders for forging press, relative synchronous control error and tracking error of speed and pressure for hydraulic cylinders under the action of conventional fuzzy PID control algorithm and fuzzy-single neuron PID control algorithm were get and compared by simulation. The results show that the system of fuzzy-single neuron PID control algorithm converges faster than that of the conventional fuzzy PID control algorithm, and the fuzzy-single neuron PID control algorithm makes the double cylinder hydraulic synchronous electro-hydraulic servo control system of forging press more robust. Furthermore, the experimental results are consistent with the simulation results, and the error between them is less than 10% to verify the feasibility of the proposed double cylinder hydraulic synchronization control method for forging press.

基金项目：

全国教育科学“十五”规划教育部重点项目（DJB030362）

作者简介：吴娜（1982-），女，硕士，实验师 E-mail：laoli_global@126.com

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