Title :
Digital algorithms for parameter estimation of multiple signals using numerical differentiation
Author_Institution :
Dept. of Electr. Eng., Guangxi Univ., Nanning, China
Abstract :
A novel algorithm for amplitude and phase estimation of the multi-component signals is presented in this paper. The proposed algorithm is based on numerical differentiation and central Lagrange interpolation, and needs 1 signal sample with 7 points and 1 computation process. With any frequency value of component 1, 2 and 3 of the signal over 1 Hz to 100 kHz, the amplitude and phase angle of the signal are all estimated at an accuracy of higher than 0.1% with the amplitudes of the component 1,2 and 3 varying from 1 V to 200 V and the phase angle of the component 1, 2 and 3 varying from 0 to 360. Spending at most half cycle for parameter estimation of the multi-component, so that the proposed algorithm is adaptive to any intelligent measurement and control. A testing example is given to illustrate the proposed algorithm, with the simulation is carried out in Matlab software.
Keywords :
differentiation; intelligent control; interpolation; parameter estimation; signal processing; 1 to 200 V; Matlab software; central Lagrange interpolation; digital algorithms; intelligent control; intelligent measurement; multiple signals; numerical differentiation; parameter estimation; phase estimation; Adaptive control; Amplitude estimation; Frequency estimation; Intelligent control; Interpolation; Lagrangian functions; Parameter estimation; Phase estimation; Programmable control; Signal processing;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1431854