This invention discloses a method and related equipment for optimizing the sensor
layout of the main arm of a dynamic
flight simulator, relating to the field of flight simulators. It includes: acquiring a three-dimensional geometric model of the main arm and performing
point cloud segmentation to generate a candidate
measurement point set; acquiring acceleration signals under uniformly accelerated rotation conditions, and determining the number of equivalent low-order
modes based on the number of times the
peak value significantly increases; iteratively correcting the initial dynamic model using sensor data, and reconstructing the motion state of the dynamic
flight simulator through infinite-dimensional state matrix replacement, thereby improving the positioning accuracy of extreme strain points and solving the problem of calculation deviation in traditional models. An
observability matrix is constructed based on the equivalent state matrix and the
observation matrix. Under the condition of satisfying constraints, the sensor
layout is encoded into a binary vector, constructing an objective function that considers both
observability indicators and the constraints on the number of measurement components. An intelligent optimization
algorithm is used to solve the objective
layout. Measurement components are arranged and measurement data is collected based on the optimization results, achieving optimal monitoring accuracy with the fewest measurement components.