Wiener nonlinear system identification method based on parameter separation
A nonlinear system and identification method technology, applied in the field of industrial control, can solve the problems of reducing the identification accuracy of the system identification method, the reduction of identification accuracy, and the reduction of the applicability of the method
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[0094] refer to Figure 1-3 , a specific embodiment of the present invention comprises the following steps:
[0095] A. Transform the thermal power plant control system to be identified into a Wiener nonlinear system, and merge the input quantities of the thermal power plant control system to be identified;
[0096] B. Analyze the Wiener nonlinear system, including the linear dynamic part structure of the system, the nonlinear static part structure of the system, the dynamic disturbance type, and the measurement noise; determine n a , n b and n c , set the initial value
[0097] n=5, δ 1 (0)=1, δ 2 (0)=1, k=1, repeatedly collect input data u(k) and y(k) until k≥n a +n, k≥n b +n
[0098] C. Separate the time-invariant parameters and time-varying parameters of the Wiener nonlinear system;
[0099] D. Identify the Wiener nonlinear system;
[0100] E. When the identified model does not meet the requirements, return to step A, readjust the model structure and initial ...
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