冲击载荷下磁流变阻尼器单神经元PSD算法研究
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摘要
利用磁流变阻尼器阻尼力连续动态可调的特点,将其应用在自动武器后坐缓冲系统中,以解决其不可控的问题。根据磁流变阻尼器动力学模型,对武器后坐过程进行分析,得出其动力学方程;利用单神经元PSD算法鲁棒性强,易于达到全局最优的特点,设计了控制器;通过仿真和试验验证,数据显示本算法对磁流变阻尼器可以实现很好的控制效果,有效地抑制了冲击载荷对后坐系统的影响,实现了后坐力"平台"效应,为自动武器的可控后坐缓冲系统研究提供了有价值的参考。
With the characteristics of the damping force of magneto-rheological damper being conti-nuous, dynamic and adjustable, it is applied to recoil buffer system of automatic weapon to solve the uncontrollable problem. First, in accordance with the dynamic model of MR damper, the recoil process of the weapon was analyzed with its dynamic equation obtained. Then, the controller was designed by using single neuron PSD algorithm, which is robust and prone to reach the global optimum. Finally, through simulation and experimental verification, the data show that the algorithm can achieve a good control effect on the MR damper, and that it can effectively restrain the influence of impact load on the recoil system and bring about the recoil "platform" effect, which provides valuable references for the research of controllable recoil buffer system of automatic weapons.
With the characteristics of the damping force of magneto-rheological damper being conti-nuous, dynamic and adjustable, it is applied to recoil buffer system of automatic weapon to solve the uncontrollable problem. First, in accordance with the dynamic model of MR damper, the recoil process of the weapon was analyzed with its dynamic equation obtained. Then, the controller was designed by using single neuron PSD algorithm, which is robust and prone to reach the global optimum. Finally, through simulation and experimental verification, the data show that the algorithm can achieve a good control effect on the MR damper, and that it can effectively restrain the influence of impact load on the recoil system and bring about the recoil "platform" effect, which provides valuable references for the research of controllable recoil buffer system of automatic weapons.
引文
[1] 黄继.含磁流变阻尼器自动武器缓冲系统控制理论与技术的研究[D].太原:中北大学,2011.
[2] 李延成.冲击载荷下磁流变缓冲器半主动控制研究[D].南京:南京理工大学,2007.
[3] 张莉洁.冲击载荷下磁流变阻尼器动态特性分析及其控制系统设计[D].南京:南京理工大学,2008.
[4] LITA M,POPA N C,VELESCU C,et al.Investigations of a magnetorheological fluid damper[J].Magnetics IEEE Transactions on Magnetics,2004,40(2):469-472.
[5] 柴良斌,陈大跃,孙涛.半主动直接输出反馈滑模模糊控制电流变阻尼器减振研究[J].上海交通大学学报,2003,37(12):1931-1936.
[6] 张立峰,丁建国,王巍伟.基于神经网络优化PID控制算法的磁流变阻尼结构应用研究[J].工程抗震与建筑改造,2017,39(5):47-54.
[7] 陈朝晖,倪一清.自传感磁流变阻尼器实时阻尼力跟踪控制[J].浙江大学学报:工学版,2017,51(8):1551-1558.
[8] 庞辉,陈佳楠,刘凯.汽车磁流变半主动悬架系统自适应反推跟踪控制[J].兵工学报,2017,38(7):1430-1442.
[9] 黄继,罗航,郭婧,等.基于单神经元的永磁同步电机自适应PSD速度控制[J].火炮发射与控制学报,2017,38(2):20-24.
[10] 赵春林,王炅.火炮磁流变阻尼器实验分析与动态模型[J].振动与冲击,2012,31(2):64-67.
[2] 李延成.冲击载荷下磁流变缓冲器半主动控制研究[D].南京:南京理工大学,2007.
[3] 张莉洁.冲击载荷下磁流变阻尼器动态特性分析及其控制系统设计[D].南京:南京理工大学,2008.
[4] LITA M,POPA N C,VELESCU C,et al.Investigations of a magnetorheological fluid damper[J].Magnetics IEEE Transactions on Magnetics,2004,40(2):469-472.
[5] 柴良斌,陈大跃,孙涛.半主动直接输出反馈滑模模糊控制电流变阻尼器减振研究[J].上海交通大学学报,2003,37(12):1931-1936.
[6] 张立峰,丁建国,王巍伟.基于神经网络优化PID控制算法的磁流变阻尼结构应用研究[J].工程抗震与建筑改造,2017,39(5):47-54.
[7] 陈朝晖,倪一清.自传感磁流变阻尼器实时阻尼力跟踪控制[J].浙江大学学报:工学版,2017,51(8):1551-1558.
[8] 庞辉,陈佳楠,刘凯.汽车磁流变半主动悬架系统自适应反推跟踪控制[J].兵工学报,2017,38(7):1430-1442.
[9] 黄继,罗航,郭婧,等.基于单神经元的永磁同步电机自适应PSD速度控制[J].火炮发射与控制学报,2017,38(2):20-24.
[10] 赵春林,王炅.火炮磁流变阻尼器实验分析与动态模型[J].振动与冲击,2012,31(2):64-67.