【摘要】 为了实现旋转机械的智能动平衡,提出了一种转子单平面在线自适应主动平衡方法。从传统的影响系数法出发,先后引入增益因子和遗忘因子,建立了固定参数的转子自适应主动平衡控制算法模型,分析了控制模型的稳定条件。采用数值仿真,对增益因子和遗忘因子对转子自适应主动平衡控制过程的影响规律进行量化研究,获得了转子单平面在线自适应主动平衡控制算法的收敛性和稳定性变化规律。建立了高速电主轴自适应电磁主动平衡试验台,开展了转速3 300 r·min-1下转子单平面自适应主动平衡试验。结果表明:增大增益因子可以加快主动平衡过程的收敛速度,减小增益因子可以提高平衡过程的稳定性,准确的影响系数估计可以放宽对遗忘因子取值的要求,试验和理论仿真的规律是一致的,证明所提出的转子自适应主动平衡控制算法是正确的。更多还原

【Abstract】 In order to realize the intelligent dynamic balancing of rotating machinery,a rotor singleplane online adaptive active balancing method was proposed. Starting from the traditional influential coefficient method,a fixed-parameter adaptive balancing control algorithm model was established by successively introducing gain factor and forgetting factor. By using numerical simulation,the influence of gain factor and forgetting factor on rotor adaptive balancing control process was quantitatively studied,and the convergence and stability laws of single-plane adaptive balancing control algorithm were obtained. The adaptive electromagnetic balancing test platform of high-speed motorized spindle was established,and single-plane adaptive balance test at 3 300 r·min-1 was carried out based on the platform.The results show that increasing gain factor can accelerate the convergence rate of active balancing process,decreasing gain factor can improve the stability of balancing process,and the accurate estimation of influential coefficient can relax the requirement of forgetting factor. The experimental and theoretical results are consistent,and the proposed adaptive balancing control algorithm is correct.更多还原