Title :
Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking
Author :
Jiao, Shuli ; Nagrial, Mahmood H.
Author_Institution :
Sch. of Mechatronic, Comput. & Electr. Eng., Univ. of Western Sydney, Nepean, NSW, Australia
Abstract :
This paper describes recursive maximum likelihood (RML) algorithm for tracking the sinusoidal frequency. The algorithm is modeled and simulated using Matlab/Simulink software package. This paper describes how to adjust the algorithmic parameters to estimate the frequency with high accuracy in steady state and also for tracking rapidly changing frequency. The measurement bandwidth of at least 10 Hz can be achieved with an update time of 500 μs. It is suitable for real time operation since there are only 13 multiplications, 13 addition and 1 division in each iteration. Practically it needs only 11 μs per update on a TMSC32 processor.
Keywords :
adaptive filters; digital signal processing chips; electric machine analysis computing; frequency estimation; induction motor drives; maximum likelihood estimation; notch filters; recursive filters; tracking filters; DSP; Matlab/Simulink software package; RML; TMSC32 processor; induction motor drives; rapidly changing frequency tracking; real time adaptive notch filter; recursive maximum likelihood; sinusoidal frequency tracking; Adaptive filters; Frequency estimation; Mathematical model; Maximum likelihood estimation; Parameter estimation; Software algorithms; Software packages; State estimation; Steady-state; Time measurement;
Conference_Titel :
Power Electronic Drives and Energy Systems for Industrial Growth, 1998. Proceedings. 1998 International Conference on
Print_ISBN :
0-7803-4879-6
DOI :
10.1109/PEDES.1998.1330729
