Research on the reliability analysis method of an actuator under stochastic load

Traditional time-dependent reliability analysis methods aim to predict the product failure time based on binary component and system status, which have not considered the influence of some stochastic characters for the reliability such as internal parameters variation and environment factors fluctuation. Current integrated design method considers performance and reliability requirements simultaneously, and has synthesized all the uncertain factors during the reliability analysis process, while this method is based on Monte-Carlo and large number of simulation times, which delivers low efficiency extremely. As we have known, system´s unreliability is always resulted from all kinds of random factors, so this paper presents a special reliability analysis method for a flight control actuator system under stochastic processes. First, we introduce the concept of the stochastic processes briefly, then we give an expression model for the stochastic wind, based on the mathematical model and load model, and suppose all the uncertainties come from the stochastic wind, we analyze the effect of the stochastic load for the actuator rotation angle. Furthermore, we select some performance characters as the criteria and calculate the actuator system reliability under the stochastic load. Finally, we create the mathematical model and stochastic wind model in Matlab, and compare the reliability value getting through simulation and analysis method, result shows that this method is feasible.