锻压技术

基于积分分离PID神经元网络的电液位置同步控制算法

英文标题：Electro-hydraulic position synchronization control algorithm on integral separation PID neural network

作者：宋昭刘震洲石明礼黄庆钊

分类号：TH137

出版年,卷(期):页码：2020,45(5):167-170

摘要：

针对金属加工成形设备中电液位置同步控制系统的非线性、时变性所引起的跟踪性能差、动态响应慢以及同步控制精度低等问题，以阀控非对称缸系统为研究对象，根据电液伺服系统工作原理，建立双缸位置同步控制模型，提出了一种前馈校正的积分分离PID神经元网络控制算法，并设计了双缸位置同步控制器进行仿真分析。仿真结果表明：该方法的运用能有效抑制设备运行过程中负载变化、环境温度变化以及液压元件本身非线性等因素的干扰，双缸位置同步误差能控制在0.1 mm以内，系统表现出良好的动态跟踪性能且调节时间短，较好地改善了传统控制方式的不足。

For the problems of poor tracking performance, slow dynamic response and low synchronization control precision caused by nonlinear and time-varying in the electro-hydraulic position synchronization control system of metal processing and forming equipment, taking the valve controlled asymmetric cylinder system as the researching object, the double-cylinder position synchronization control model was established based on the working principle of electro-hydraulic servo system, and the control algorithm of integral separation PID neural network after feedforward correction was proposed. Then, the double-cylinder position synchronization controller was designed, and its simulation analysis was conducted. The simulation result indicates that using this method restrains the interference effectively such as load changes, ambient temperature changes and non-linearity of hydraulic components during the equipment operation, and the double-cylinder position synchronization error is controlled within 0.1 mm. In addition, the system shows good dynamic tracking performance and short adjustment time to improve the shortcomings of traditional control method.

基金项目：

宋昭(1988-), 男, 硕士, 工程师，E-mail：song_zhao@126.com

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