Robust Design of Dynamic System when Ideal Function’s Parameters are Unknown

Abstract

Robust design is an important method to reduce the effect of noise factors and unit-to-unit variation in order to improve the product quality and which leads to higher customer satisfaction. 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. In this paper, a mathematical formula based on the quality loss function is derived for optimizing the robust design of unlinearized dynamic system. The example of high-precision positioning device is provided to demonstrate the implementation and effectiveness of the proposed method.