锻压技术

模锻压机低速锻造的高斯加权集成在线自适应控制

英文标题：Gauss weighted integrated online adaptive control on low-speed forging of die forging press

作者：陈月凤

单位：山东职业学院

分类号：TH39

出版年,卷(期):页码：2020,45(7):140-147

摘要：

为了提高模锻压机在低速锻压过程中的速度稳定性和系统鲁棒性，设计了高斯加权集成在线自适应控制器。建立了模锻压机在低速锻造过程中的状态空间方程。针对低速锻造过程中速度切换和负载突变等问题，给出了高斯加权集成在线自适应控制方案，自适应控制器由模型预测控制器和模糊PID控制器两个子控制器组成。在稳定运行阶段，模型预测控制器控制精度较高，但是鲁棒性较差，无法应对突变情况，因此，设计了模糊PID控制器应用于突变情况控制；为了防止控制器切换时引起系统振荡，给出了高斯加权集成方法。经仿真验证，与单独使用模型预测控制器和模糊PID控制器相比，当发生速度切换和负载突变时，高斯加权集成在线自适应控制器的调节时间最短，且速度跟踪误差最小，提高了低速锻造过程中速度跟踪的精确性和鲁棒性。

To improve the speed stability and the system robustness of die forging press in low-speed forging process, Gauss weighted integrated online adaptive controller was designed, and the state space equation of die forging press in low-speed forging process was built. Then, for the problems of speed switch and load mutation in low-speed forging process, Gauss weighted integrated online adaptive control scheme was given, which consisted of model predictive controller and fuzzy PID controller. In stable operation stage, the control accuracy of model predictive controller was very high, but its robustness was poor and it was unable to cope with sudden changes. Therefore, the fuzzy PID controller was designed to control sudden changes, and Gauss weighted integrated method was given to prevent system vibration during controller switching. The simulation was clarified that compared with using the model predictive controller or the fuzzy PID controller alone, when speed switch and load mutation happened, the setting time of Gauss weighted integrated online adaptive controller was shortest, and the speed tracking error was the minimum, which improved accuracy and robustness of speed tracking in low-speed forging process.

基金项目：

山东省教育厅职业教育名师工作室支持项目（2018063）

陈月凤（1979-），女，硕士，讲师 E-mail：3513684596@qq.com

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