Abstract: In allusion to the analysis fuzzification in dynamic coupling structure system and the test fuzzification in the selection of response signal and dispersive error, an idea and method of new dynamic optimization design is presented, which is used to identify nonlinear parameter of dispersive error signal based on fuzzy optimization. According to the theory of weight function of fuzzy mathematics, the function of fuzzy optimization is established, and an algorithm of highly accurate nonlinear parameter identification is deduced, which is called fuzzy optimization algorithm of dispersive error signal. As a practical example, the dynamic response signal of MG1432B is analysed fuzzily, the dispersive error signal is identified out, the 9th modal parameters are gotten accurately, and the fitting curves of amplitude-frequency and phase-frequency are drawn. The result shows that the method of fuzzy optimization is of higher identification accuracy and wide applied value.

Key words: Dispersive error, Fuzzy optimization, Nonlinear, Signal processing