神经网络优化自抗扰控制在供输弹系统中的应用
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摘要
为了解决自抗扰控制参数过多不易整定的问题,将神经网络应用于自抗扰控制器中。为了提高链式自动炮的自动机电机和供输弹电机的速度同步性能,将自抗扰控制器融入两电机交叉耦合控制方案中。通过仿真实验,证明该控制方案切实可行,对现有装备升级改造具有参考价值。
In order to improve the speed synchronization between automat motor and ammunition feeding motor in chain automatic gun,the ADRC was integrated into the motors' cross-coupling control scheme.In order to solve the problem that the ADRC parameters are difficult to be set,the neural network was applied to it. Through simulation experiments,it is proved that the neural network optimized ADRC is feasible in the cross-coupling control of two motors,and it has a certain reference value for upgrading existing equipment.
In order to improve the speed synchronization between automat motor and ammunition feeding motor in chain automatic gun,the ADRC was integrated into the motors' cross-coupling control scheme.In order to solve the problem that the ADRC parameters are difficult to be set,the neural network was applied to it. Through simulation experiments,it is proved that the neural network optimized ADRC is feasible in the cross-coupling control of two motors,and it has a certain reference value for upgrading existing equipment.
引文
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[11]林加堃,涂群章,段克军,等.永磁同步电机控制系统仿真与试验[J].兵器装备工程学报,2016,37(2):150-153.
[2]肖园园.基于虚拟总轴的同步控制技术及其应用研究[D].长沙:湖南工业大学,2014.
[3]KOREN Y.Cross-Coupled Biaxial Computer Controls for Manufacturing Systems[J].Trans.asme J.dyn.sys.meas.control,1980,102(4):265-272.
[4]王建红,陈耀忠,陈桂,等.基于交叉耦合控制的双电机同步控制系统研究[J].南京理工大学学报(自然科学版),2017,41(6):693-697.
[5]韩京清.自抗扰控制技术[J].前沿科学,2007(1):24-31.
[6]韩京清.自抗扰控制技术:估计补偿不确定因素的控制技术[M].北京:国防工业出版社,2008.
[7]武春林,潘宏侠.火炮自动机故障诊断研究综述[J].机械管理开发,2013(1):115-116.
[8]孙文焕,程善美.多电机协调控制的发展[J].电气传动,1999(6):3-6.
[9]朱斌.自抗扰控制入门[M].北京:北京航空航天大学出版社,2017.
[10]朱喜娜,陆达,范汉青.基于BP算法PID控制器的研究[J].计算机技术与发展,2010,20(5):183-186.
[11]林加堃,涂群章,段克军,等.永磁同步电机控制系统仿真与试验[J].兵器装备工程学报,2016,37(2):150-153.