期刊文献+

桥式起重机定位和防摆的粒子群算法优化PID控制 被引量:8

Position Control and Anti-Swing for Overhead Cranes Based on Particle Swarm Algorithm Optimization PID Control
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摘要 为使桥式起重机精确定位和快速消摆,设计了利用PSO算法优化PID参数的定位防摆控制器。通过在Matlab中编写PSO算法程序和连接Matlab与Simulink的调用函数程序,结合在Simulink中建立的起重机吊重系统模型,完成了PSO-PID控制器控制的吊重系统的仿真。通过仿真,起重机小车实现了无超调无静差的快速定位,吊重摆动也得到快速有效的抑制。仿真结果证明了该控制器的可行性和有效性。 To make the overhead crane positioning accurately and anti-swing quickly, this paper design a positioning and anti-swing controller based on PSO algorithm optimization PID parameter. Compile PSO algorithm procedures and the invoking procedures which link Matlab and Simulink in Matlab, combine with crane's hanging weight system model in Simulink, and realize the PSO-PID control system of the hanging weight simulation. The simulation results show that the crane dolly can positioning accurately and the swing of hanging weight system can be restrained quickly and effectively. The simulation results prove that the controller is feasible and effective.
出处 《兵工自动化》 2012年第11期32-37,共6页 Ordnance Industry Automation
关键词 桥式起重机 定位和防摆 粒子群优化 PID控制 overhead crane positioning and anti-swing particle swarm optimization PID control
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