摘要
螺旋升降机是一种具有承重功能的特殊伺服系统。由于螺旋升降机具有机电耦合特性和非线性特性,且其控制器参数较多,人工经验等传统方法调节控制器参数不仅费时费力,还难以获得较好的控制性能。针对该问题,使用粒子群优化算法优化三环闭环控制器的多个参数。仿真实验表明,优化后的控制系统的动态响应特性、抗干扰能力及鲁棒性得到提高。
Spiral elevator is a kind of servo system with load bearing function. Because of its electro-mechanical coupling properties and nonlinearity properties and too many of controller parameters, to adjust the parameters of the controller by artificial experience and other traditional methods are not only time-consuming, but also difficult to get better control performance. To solve the problem, the controller parameters of three-ring closed loop controller are optimized by using particle swarm optimization（PSO） algorithm. The simulation results indicate that the dynamic response characteristic, antigambling capability and robustness of the optimized system are improved.
出处
《计算机时代》
2015年第10期1-3,6,共4页
Computer Era
基金
国家自然科学基金资助项目(61304104)
重庆市高校创新团队建设计划资助项目(KJTD201306)
国家级大学生创新训练计划资助项目(201410618006)
关键词
螺旋升降机
伺服系统
机电耦合
非线性系统
粒子群优化算法
spiral elevator
servo system
electro-mechanical coupling
nonlinear system
particle swarm optimization（PSO） algorithm
