转子系统的不确定性非参数动力学建模及其特性研究
[Abstract]:The rotor system is one of the core components of the important equipment in the national industrial system. In the field of power, aviation, petrochemical, machinery and so on, the rotor system has been widely used in the field of electric power, aviation, petrochemical, machinery and so on. At the same time, the rotor dynamics gradually form a relatively complete theoretical system, the design and experiment of rotating equipment, the application and the like provide important support. However, due to the inevitable existence of random uncertainty factors in engineering application, the phenomena such as excessive amplitude and frequent failure of rotating machinery during operation are caused, and the present research results on uncertain rotor systems are numbered. It is urgent to carry out the research work of the dynamic characteristics of the rotor system in the uncertain situation. Based on the national high-tech research and development plan (863) project (No.: 2008AA04Z410), NSFC's project (No.: 111722260), the random uncertainty non-parametric dynamic modeling and characteristic research of the rotor system are carried out. Theoretical support is provided to ensure safe and stable operation of rotating machinery. In this paper, a non-parametric modeling method for Jeffcott rotor is studied, a dynamic vibration model with stochastic uncertainty is established, and its dynamic response characteristics are analyzed under the condition of disk bias, unbalance and random excitation. An improved dynamic parameter algorithm of sealed rotor with stochastic uncertainty is proposed. The dynamic characteristics of the fault rotor system under stochastic uncertainty are studied, and the typical nonlinear characteristics of the fault rotor are obtained. A reliability algorithm of rotor system based on non-parametric modeling and spectral density analysis is presented. The research work further enriches the theory of rotor dynamics, and provides means and basis for revealing the cause of vibration and failure in rotating machinery in engineering. The main contents and achievements of the thesis are: (1) Study the stochastic uncertainty non-parametric modeling method aiming at the rotor system, and analyze its response characteristics. Aiming at the influence of stochastic uncertainty of rotor system, a sensitivity algorithm for dynamic response to stochastic uncertainty factors is given, and a stochastic uncertainty non-parametric modeling method for Jeffcott rotor system is proposed. The dynamic model of rotor system with parameter uncertainty and model uncertainty is constructed. The influence of stochastic uncertainty on the critical speed of rotor system and the law of system response are analyzed. It is found that the random uncertainty can change the critical speed of the system, and the vibration response of the system also has an obvious increase. The research results are the basis of the research content of the paper and provide the theoretical basis for the follow-up research work. (2) studying the dynamic coefficient algorithm of the sealed rotor under the influence of stochastic uncertainty factors. aiming at the condition that the sealed rotor system is subjected to random uncertainty factors, a random excitation is formed in a rotor system model by adopting boundary noise according to the characteristics of random uncertainty in the flow field, and combining the boundary noise factor and the elliptical axis locus to form a corresponding uncertainty track, and the random uncertainty disturbance clearance of the rotor system, the parameters of the sealing chamber and the calculation method of the sealing force acting on the rotor are deduced, A dynamic coefficient calculation method of stochastic uncertain sealed rotor is formed, and the influence of stochastic uncertainty factors on dynamic coefficient of sealed rotor system is analyzed. The numerical simulation shows that the stochastic uncertainty results in larger fluctuation of the calculation result of the dynamic coefficient of the sealed rotor. The effect of stochastic uncertainty factors on rotor dynamics and the necessity of non-parametric modeling method are proved. (3) The dynamic response characteristics of a stochastic uncertain rotor system fault condition were studied. In this paper, a stochastic uncertainty model for fault rotor systems such as medium, gas-flow excitation and collision-grinding is established. The nonlinear dynamics of the rotor system under stochastic uncertainty are analyzed, and an improved method is proposed. The disturbance processing method of rotor system response characteristics under disturbance is not determined at random, a clear system response characteristic is obtained, and a rotor experimental system with typical representative is constructed. The simulation results show that the nonlinear characteristics of the rotor system under different faults vary with the strength of the uncertainty, the effectiveness of the improved de-disturbance processing algorithm is described, and the research contents are combined with the fault rotor on the basis of the non-parametric modeling of the stochastic uncertainty rotor system. The dynamic theory of uncertain rotor system is enriched, which lays a foundation for the transformation from theory to practical application. (4) The reliability algorithm of vibration response of stochastic uncertain rotor system is studied. Aiming at the reliability problem of uncertainty rotor system operation, a reliability index calculation method based on non-parametric modeling and spectral density analysis is put forward, and a stochastic uncertainty dynamic vibration model of the rotor system is established by using the non-parametric modeling method. The characteristic parameters of the system response are derived by the spectral density analysis method, and the reliability index is obtained by the normalization of the EdgePoint series normalization method. The applicability of the method is verified, and the method for judging the stability and the reliability of the operation state for the uncertain rotor system is provided. Provide powerful tools for practical applications.
【学位授予单位】:浙江大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TH113
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