Measurement Error Compensation Method for Parameters of Rear Torsion Beam With PSO-BP

Abstract

In the process of inspecting the rear torsion beam, there will be measurement error because of the manufacturing error, vibration of the automatic inspection tool and the deformation of the workpiece. This paper presents an error compensation method for parameter of rear torsion beam based on PSO-BP (particle swarm optimization and back propagation neural network) algorithm. In order to solve the problem that BP neural network converges slowly and is easy to fall into local optimum, the paper uses PSO algorithm to optimize its weight and threshold. The research results show that the PSO-BP algorithm has good error compensation accuracy.