摘要
为减小龙门起重机运行过程中负载的摆角,在MATLAB/Simulink软件中建立PID控制模型,利用人工鱼群算法(Artificial Fish Swarm Algorithm,AFSA)优化模型参数,通过仿真分析,该模型显著减小了龙门起重机负载摆角,实现了龙门起重机快速精准定位,鲁棒性好。结果表明人工鱼群算法与PID控制器结合的方法具有可行性和有效性。
In order to reduce the swing angle in the running process of gantry crane operation,it established PID control model in MATLAB/Simulink software,and optimized the model parameters by Artificial Fish Swarm Algorithm(AFSA).Through simulation analysis,the model significantly reduced the load swing angle,achieved fast and accurate positioning,and had good robustness.The result showed that the method of combining AFSA with PID controller was feasible and effective.
作者
刘权文
王晓笋
谢福起
巫世晶
Liu Quanwen;Wang Xiaosun;Xie Fuqi;Wu Shijing(School of Power and Mechanical Engineering,Wuhan University,Wuhan 430072,China)
出处
《现代制造工程》
CSCD
北大核心
2020年第1期143-148,135,共7页
Modern Manufacturing Engineering
基金
工信部2017年智能制造综合标准化与新模式应用项目(2017GXB530026)
关键词
龙门起重机
PID控制
人工鱼群算法
防摆
仿真
鲁棒性
gantry crane
PID control
Artificial Fish Swarm Algorithm(AFSA)
anti-swing
simulation
robustness
