摘要
针对注塑机注射速度的非线性和时变性特点,为提高注射速度对特定曲线的重复跟踪能力,提出了基于闭环PD型迭代学习控制的注塑机注射速度轨迹跟踪控制算法。该算法利用系统实际输出与期望目标之间的偏差修正不理想的控制信号,若干次迭代后,系统能够实现期望轨迹的跟踪。建立了注射速度的动态模型,同时给出系统的控制算法和结构。仿真结果表明:该控制器能有效跟踪期望的注射速度轨迹,响应速度更快,超调量更小,稳定性更好,控制效果优于常规PID控制器。
On account of nonlinearity and time variant of the injection molding machines' injection speed,to improve the injection speed's capability of tracking specific trajectory repetitively,it proposed a closed-loop PD-type iterative learning control algorithm to track its trajectory. The algorithm employs the system deviation between the actual and expected output to correct the undesirable control signal. After several iterations,the system output can approximate the desired trajectory. The kinematic model of injection speed is established,as well as the control algorithm and structure for the system are presented.The simulation result shows the controller can track the ideal injection speed's trajectory more effectively with faster response,smaller overshoot and better stability,which means it's effect is better than PID controller.
出处
《机械设计与制造》
北大核心
2016年第5期24-26,共3页
Machinery Design & Manufacture
基金
四川省研究生教育改革创新项目(14JGCX01)
西南科技大学控制工程专业学位硕士研究生实践基地建设项目(113-101011)
关键词
注塑机
注射速度
迭代学习
闭环控制
Injection Molding Machine
Injection Speed
Iterative Learning
Closed-Loop Control
作者简介
罗亮,(1977),男,湖南未阳人,硕士研究生,讲师,主要研究方向:嵌入式系统研究与装备控制器开发
刘知贵,(1966),男,四川射洪人,博士研究生,教授,主要研究方向:控制理论和计算机应用技术研究