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桥式起重机智能控制策略研究

Research on Intelligent Control Strategy of Bridge Crane
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摘要 为实现桥式起重机在吊运中的稳定、高效、安全作业,针对起重作业过程中出现的定位不准和摆动剧烈等问题,笔者采用PID、FPID、SPSO+FPID等控制策略方法,对起重作业过程进行实际工况模拟,分析和评价各种控制策略在起重机的定位和抑摆的效果。研究结果表明,SPSO+FPID控制方法在快速消除吊重摆动的同时,可以有效实现小车的精准定位;与传统PID相比,SPSO+FPID控制方法的摆角减小了72.7%,定位超调量减小了20.0%,具有更好的鲁棒性,符合智能起重机的定位和抑摆要求,具有一定的工程实践指导意义。 In the hoisting of bridge cranes,in order to ensure its stable,efficient and safe operation,in view of the problems of inaccurate positioning and severe swinging during the lifting operation,the author adopts control strategy methods such as PID,FPID,SPSO+FPID,et al.The actual working conditions are simulated during the operation,and the effects of various control strategies on the positioning and sway suppression of the crane are analyzed and evaluated.Research indicates,SPSO+FPID control method can quickly eliminate hoist swing,and can effectively achievetrolley precise positioning;compared with the traditional PID,the swing angle of the SPSO+FPID control method is reduced by 72.7%,and the positioning overshoot is reduced by 20.0%.It has better robustness and meets the positioning and swing suppression requirements of intelligent cranes.It has certain guiding significance for engineering practice.
作者 王全伟 杨宇宇 赵炀 文豪 WANG Quanwei;YANG Yuyu;ZHAO Yang;WEN Hao(School of Mechanical Engineering,Taiyuan University of Science and Technology,Shanxi Taiyuan 030024,China)
出处 《机械设计与制造》 北大核心 2026年第2期53-57,共5页 Machinery Design & Manufacture
基金 山西省重点研发计划项目(202003D111009) 广东省市场监督管理局科技项目(2022CT12) 山西省高等学校科技创新项目(2020L0360) 太原科技大学博士科研启动基金项目(20192044)。
关键词 桥式起重机 改进粒子群优化(SPSO) 模糊PID(FPID) 定位 抑摆 Bridge Crane Improved Particle Swarm Optimization(SPSO) Fuzzy PID(FPID) Positioning Sway
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