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基于遗传算法的交叉耦合控制器优化设计 预览

Optimal Design of Cross Couple Controller Based on Genetic Algorithm
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摘要 为提高多轴联动实验平台的执行轨迹轮廓误差精度,提出一种基于遗传算法的交叉耦合控制器优化设计方法。首先建立单轴跟踪误差与轨迹轮廓误差的数学模型,并确定优化目标函数;其次,采用有限冲击响应的交叉耦合控制器结构,并确定优化变量和约束条件;最后通过遗传算法对优化问题进行求解,确定最优交叉耦合控制器参数。通过仿真分析研究此方法的可行性和有效性,仿真结果表明所提方法能够在不占用数控系统插补周期的基础上,有效提高单轴跟踪误差和执行轨迹的轮廓误差,为提高数控加工零件表面质量提出有效解决方案。 In order to improve the contour accuracy of multi-axis machine tool, a cross coupling control method based on the genetic algorithm has been proposed. Firstly, the mathematical model between the tracking error of the single axis and the contour error of the trajectory was established. Afterwards, the structure of the impulse response filter has been applied for the cross coupling controller while the optimal variables and the constraints has been determined. Finally, the optimal parameters of the cross coupling controller was solved by the genetic algorithm. To validate the correctness and the effectiveness, simulation results showed that the proposed method can improve the contour accuracy out of the real time interpolation cycle of the numerical control system. The approach provide the novel insight into the design of the cross coupling controller.
作者 唐元恒 梁佐堂 徐成 TANG Yuan-heng1, LIANG Zuo-tang2, XU Cheng3 (1.Qingdao Campus, Naval Aeronautical and Astronautical University, Shandong Qingdao 266041, China;2.Graduate Stude- nts' Brigade, Naval Aeronautical and Astronautical University, Shandong Yantai 266640, China;3Engineer Corps College, Jiangsu Xuzhou 221004, China)
出处 《机械设计与制造》 北大核心 2018年第A01期92-94,98共4页 Machinery Design & Manufacture
关键词 交叉耦合 轮廓误差 遗传算法 优化参数 Cross-Coupled Control Contour Error Genetic Algorithm Optimal Parameters
作者简介 唐元恒,(1974-),男,山东莱芜人,硕士研究生,讲师,主要研究方向:航空机械和机电系统控制
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