Parameter optimization method for nonlinear vibration model of complex device

A parameter optimization method for a nonlinear vibration model of a complex device, comprising following steps:

• 1) constructing various parts of the complex device into a tree structure according to a principle of multi-body system dynamics, to form a tree-shaped complex device part model, and carrying out sign convention for dynamic analysis;
• 2) establishing a complex device dynamic model to determine connection modes and constraint relationships among the parts;
• 3) adding the constraint relationships among the parts in a dynamic simulation software according to contact and collision conditions in an advancing process of the complex device;
• 4) establishing a virtual prototype model of the complex device, and determining a target parameter and an optimization target on a basis of the dynamic simulation software;
• 5) simulating vibration characteristics of the complex device for different levels of pavement spectra and different vehicle speeds;
• 6) adding a required input point and an output point for the virtual prototype model, that is, the target parameter and the optimization target to be optimized;
• and
• 7) fitting a data set generated in a simulation process through a neural network according to the optimization target, and performing a plurality of iterations by using a stochastic gradient descent method to obtain a global optimal solution.