Robust design of unlinearized dynamic system

Abstract

Reducing the variations in manufacturing processes and minimizing the quality loss of products are the fundamental elements of robust design. The robust design of dynamic system is used to find the optimal control factor settings so that the measured response is closest to the ideal function. Although Taguchi's robust design was effective in improving performance of products or processes, the statisticians pointed to inefficiencies in the method for highly nonlinear dynamic systems and complexity of the parameter design. This paper proposes a general model for optimizing the robust design of multiple nonlinear dynamic systems based on the quality loss function and minimizing error variance while keeping the response on target. The example of unbalanced automobile drive shafts is provided to demonstrate the implementation and effectiveness of the proposed method.