摘要
针对具有惯性和迟延特性、多输入多输出强耦合的中储式球磨机制粉系统,设计了单神经元解耦控制器,针对神经元控制器参数确定较为困难的问题,采用了微粒群算法对控制器参数进行寻优。仿真结果表明,通过微粒群优化后的控制系统能够使得球磨机在不同阶跃扰动下都获得较为满意的控制效果。
In view of the inertia, delay, and great coupling characteristic of the multi-input and multi-output ball mill system, a single neural decoupling control system is designed. A particle swarm optimization algorithm is used to find the best parameter for the neural control system. The simulation results show that the optimized control system has a good performance.
出处
《电力科学与工程》
2006年第3期30-33,37,共5页
Electric Power Science and Engineering
关键词
球磨机
单神经元
解耦控制
微粒群
ball mill system
single neural
decoupling control
particle swarm
