1#. • Basis Weight Control System
'JH Ȟ Identification parameters of FOPTD with zero noise obtained by running the four algorithms ten times
exceed this range. Therefore, the SNPSO algorithm has excellent robustness in comparison with the other three algorithms. To improve the robustness of the algorithm, the wavelet denoised method is employed to process the signal with noise. The basic idea of wavelet denoising is to remove the wavelet coefficients corresponding to the noise in each frequency band, retain the wavelet decomposition coefficients of the original signal, and then reconstruct the processed coefficients to obtain the pure signal. Fig. 9 illustrates the parameters of the estimation model for identifying the denoised and noised step responses using SNPSO. When denoised
'JH Ȟ Variations of objective function J for FOPTD using four algorithms
'JH Ȟ Identification parameters of FOPTD with Gaussian noise by running the four algorithms ten times
'JH Identification parameters of denoised FOPTD with Gaussian noise by running the four algorithms ten times
7PM /P
Made with FlippingBook - professional solution for displaying marketing and sales documents online