关键词: 转子动平衡, 多平面多转速, 影响系数法, 免疫算法, 残余振动

Abstract: In addressing the vibration issue of rotating machinery,a multi-objective dynamic balancing optimization algorithm grounded in a double immune algorithm inspired by human immune system was proposed,which enhanced the stability of rotating equipment and mitigated the significant vibration levels.The initial optimization involved the innovative application of an immune algorithm to address unbalanced vibration dynamics.The subsequent optimization minimized the sum of residual vibration and the magnitude of the aforementioned vibration through a cyclic structure and weight adjustment,enhancing the overall suppression effect and reducing the significant vibration levels.Experimental verification was conducted through simulation and on-site dynamic balancing experiments on a simulated steam turbine generator test bed.The vibration reduction at several measured points obtained by the multi-objective dynamic balancing optimization algorithm based on the double immune algorithm was found to be significantly higher than that of the remaining algorithms.On-site dynamic balancing revealed that the residual vibration obtained by the algorithm was lower than that of the least squares influence coefficient method at all experimental speeds and measured points.The outcomes of both the finite element simulation and the field dynamic balancing experiment substantiated the feasibility and efficacy of the multi-objective dynamic balancing optimization algorithm based on the double immune algorithm.

Key words: rotor dynamic balancing, multi-plane and multi-speed, influence coefficient method, immune algorithm, residual vibration