摘要
对于冶金系统的电气机组来说以往的控制方法已不能达到精准的目的,就其原因来说是受到外界环境干扰导致输出电压具有时变性和非线性的结果。为了弥补其不足,PID的冶金控制策略应运而生。专门针对冶金系统电气组的粒子群算法改进。通过分析PID控制参数存在的不足用粒子群算法对其求解,进而达到冶金系统的电气机组的准确无误。
For metallurgical system of electiical units of previous control methods, we caimot achieve the puipose of accurate way. Its ：reason is caused by the external environment disturbance output voltage with the result of time- varying and nonlinear. In order to make up for the shortage, we begin metallurgical control strategy of PID arises at the; historic： moment. Specifically, electrical groups in particle swami algorithm are; improved- Through the analysis of the defects in the PID control parameters, we are using particle swami optimization （pso） algorithm for the swlation. Thus, It;achieves greatly in the accuracy and correctness of ijietalliirgical system of;electrical units, including the particle swann algorillim, PID to coixesponding improvement. The researcli suggests that it should have a veiy good control effect to improve particle swann algorithm to optimize PID metallurgical eleetiic control sygtein, which can avoid tlie interfiripce aJpility. So it can make the metallurgical control widely used.
出处
《中国锰业》
2016年第6期201-202,共2页
China Manganese Industry
基金
陕西高等教育教学与改革研究项目(15J34)
关键词
粒子群算法
PID
治金电器
Particlf fwann optimization （pso） algorithm
PID
Metallurgical fleetrical appliance
作者简介
姚伟鹏（1975-）,男,陕西西安人,教研室主任,讲师,研究方向：信息处理,手机：13389271348,E-mail：344563639@qq.com.
