球磨机的分数阶情感学习模型控制方法

Fractional Order Brain Emotional Learning Model Control Method of Ball Mill

基于球磨机系统的强耦合和时变性的特点,提出了一种改进的大脑情感学习模型(BEL)控制方法。采用分数阶微积分对BEL模型的感官输入函数和情感暗示函数进行描述,使得BEL模型输入信号选择更为合理,提高了BEL控制器的控制精度。利用多变量逆向解耦的方法,设计了基于分数阶BEL的智能控制器。仿真结果表明:该方法具有较好的控制性能、良好的抗干扰性能及模型不敏感性。

Aiming to the characteristics of strong coupling and time variation of ball mill system,an improved control method of brain emotional learning( BEL) model was proposed. Fractional calculus was adopted to depict emotional input function and emotional reward function of BEL model,which made the selection of input signals of BEL model more reasonable and improved the control precision of BEL controller. An intelligent controller based on fractional order BEL( FBEL) was designed by using the method of multivariable inverse decoupling. The simulation results show that the FBEL method has better control performance,good antiinterference performance and model-insensitivity.