基于积分分离PID神经元网络的电液位置同步控制算法  

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 Song Zhao;Liu Zhenzhou;Shi Mingli;Huang Qingzhao(Mingyang Smart Energy Group Limited,Zhongshan 528400,China)

机构地区：[1]明阳智慧能源集团股份公司,广东中山528400

出　　处：《锻压技术》2020年第5期167-170,共4页Forging & Stamping Technology

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.

关 键 词：伺服系统 位置同步 积分分离 PID神经元网络 同步精度 

分 类 号：TH137[机械工程—机械制造及自动化]