Load inversion of rectangular thin plate based on PSO-ANFIS model
Load inversion is of great significance in fields like automotive engineering and medical domain,etc.At present,commonly used methods generally have the problems of too many observation points,large amount of calculation and low calculation efficiency.In order to efficiently and accurately invert the load of rectangular thin plate through the deflection of a few observation points,in this paper,a load inversion of a-daptive network-based fuzzy inference system(ANFIS)is optimized based on particle swarm optimization(PSO).Analytical method was used to solve the deflections of rectangular thin plates under different con-centrated loads as training samples,and the deflections of four observation points were input.PSO was then used to optimize the fitness of the ANFIS,and the position and size of the concentrated load are re-trieved.The results show that the PSO can effectively improve the accuracy of ANFIS model,and the in-crease of iteration times of ANFIS can improve the accuracy.In the PSO-ANFIS model,the maximum re-siduals of load positionsxF、yF and load F were 0.027 m,0.025 m and 0.126 N,and the maximum relative errors were 5.00%,4.40%and 4.50%,respectively.
rectangular sheetPSO-ANFIS modelload case inversion
万方数据
维普
