Research On Field Balancing Technology And Active Balancing System Control Strategy Of Rotating Systems

With the development of modern rotating machinery towards high-speed,high-efficiency,high-precision and high-reliability,its role in national economy,military and defense has become more and more prominent.Rotor unbalance is a common fault in rotating machinery and one of the main factors affecting the safety,stability and long-term operation of rotating machinery,therefore,the research on rotor unbalance identification has always been a hot point in the field of modern rotating machinery.Discussing how to improve the accuracy and efficiency of rotor dynamic unbalance identification has very important theoretical and engineering significance.This dissertation is focus on improving the accuracy and efficiency for field balancing of rotor system.Researched estimation for unbalanced harmonic vibration parameters of rotor system,an improved influence coefficient balancing is proposed to improve the accuracy of field balancing.based on in-depth analysis of correlation between the unbalance vibration characteristic quantity and the unbalance.And the parameterization of influence coefficient for multi-speed balancing demand of rotor system is researched,also the control strategy of speedvarying rotor active balancing system is improved.The main research work includes:Firstly,iterative interpolation algorithm is applied to detect the frequency,amplitude and phase for unbalance harmonic vibration of rotor systems,to improve the accuracy of unbalance vibration harmonic parameter estimation.Based on analyzing the influence of iterations and interpolation interval on estimated performance of comprehensive iterative frequency estimator,a spectrum estimation algorithm with optimized interpolation interval is proposed,and the effectiveness of the algorithm is compared and verified through experiment.Secondly,in order to solve the problem that existing balancing methods cannot make full use of sensors informations,an improved influence coefficient method that optimizes the characteristic vibration quantity is proposed.Analyzed the correlation between the characteristic vibration quantities used in the traditional influence coefficient method or the holospectrum balancing method and the unbalance,the characteristic vibration quantities used by existing balancing methods are normalized to ensure equal noise levels,the best characteristic vibration quantity is selected and further optimized.This vibration characteristic quantity can better represent the strong correlation with the unbalance,thereby can improve the accuracy and efficiency of field balancing,and the effectiveness of this method is verified through simulation and experiments.Thirdly,a parameterization method of influence coefficient based on Poly MAX is proposed to solve low efficiency of multi-speed field balancing of rotor system,and the effect of speed interval on the parameterization fitting accuracy and anti-noise performance is analyzed.The effectiveness is verified through simulation and experiment,this method can effectively reduce the pre-workload and improve the efficiency of multi-speed balancing.Finally,based on the positive realness property of the transfer function of rotor system and the Lyapunov stability theory,an adaptive proportional integral control strategy is designed to smooth the rotation oscillation of the balancing actuators during the adjustment process.The effectiveness of the control strategy in improving the performance of the active balancing system is verified through comparing several examples with existing speed-varing active balancing control strategy.The unbalance harmonic vibration parameters estimation algorithm,unbalance identification method and adaptive active balancing control strategy studied in this paper can effectively improve the accuracy and efficiency of the field balancing of rotor systems,and provide theoretical guidance and technical support to ensure the safe and stable operation of rotating machinery.