摘要
由于磨矿过程高度非线性和随机性扰动的影响 ,引起矿浆浓度频繁波动 ,采用常规的PID控制难以取得满意的效果 ,因此设计了一种基于神经网络的PID控制器控制矿浆浓度。应用结果表明 ,该控制器具有较好的适应能力和稳态性能 ,满足了生产需要。
It's not satisfied with the convertional PID control because of the frequent fluctuation of the pulp consistency resulting from the high nonlinearity of the mineral grinding process and the random disturbances,hence, a neural network PID controllor is designed to control the pulp consistency. Application shows this controllor has good adaptability and steady-state performance,the needs of production are met.
出处
《控制工程》
CSCD
2002年第5期45-46,91,共3页
Control Engineering of China
