球磨机的分数阶情感学习模型控制方法
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摘要
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.
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.
引文
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[13]石硕,刘彦华,江益洋,等.基于逆向解耦的球磨机系统的PID控制[J].计算机仿真,2013,30(8):384-388.
[2]杨国亮,余嘉玮,鲁海荣,等.情感智能的球磨机系统内模控制研究[J].计算机与应用化学,2015,32(9):111-115.
[3]LUCAS C,SHAHMIRZADI D,SHEIKHOLESLAMI N.Introducing BELBIC:brain emotional learning based intelligent controller[J].Intelligent automation&soft domputing,2013,10(1):11-21.
[4]陈建平,王建彬,杨宜民.基于大脑情感学习的四轮驱动机器人速度补偿控制[J].智能系统学报,2013,8(4):361-365.
[5]甄子洋,王道波,王志胜.基于大脑情感学习模型的转台伺服系统设计[J].中国空间科学技术,2009,2(1):13-18.
[6]黄国勇,王道波.甄子洋.基于大脑情感学习的推力矢量无人机姿态控制[J].系统工程与电子技术,2009,31(12):2954-2957.
[7]SHARAFI Y,SETAYESHI S,FALAHIAZAR A.An improved model of brain emotional learning algorithm based on interval knowledge[J].Journal of mathematics and computer science,2015,14:42-53.
[8]王帅夫,刘景林.基于大脑情感学习模型的步进电机控制系统[J].吉林大学学报(工学版),2014,44(3):765-770.
[9]GARMSIRI N,SEPEHRI N.Emotional learning based position control of pneumatic actuators[J].Intelligent automation&soft computing,2014,20(3):433-450.
[10]柳向斌,曲晓丽.分数阶控制系统稳定性分析[J].河南科技大学学报(自然科学版),2007,28(2):33-35.
[11]曾建,陈红.钢球磨机制粉系统自抗扰解耦控制[J].热力发电,2013,42(7):83-87.
[12]郑义民,吉国力.一种适合于多变量系统的逆向解耦控制方法[J].北京工业大学学报,2012,38(12):1772-1778.
[13]石硕,刘彦华,江益洋,等.基于逆向解耦的球磨机系统的PID控制[J].计算机仿真,2013,30(8):384-388.