Title :
Pre-estimation for better initial guesses
Author :
Shaw, Steven R. ; Keppler, Marc ; Leeb, Steven B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
fDate :
6/1/2004 12:00:00 AM
Abstract :
Fast, assured convergence of iterative identification methods is important in many on-line applications, including systems that exploit indirect measurements, diagnostics, and model-based control. The transient response of a system can often be mapped directly to an estimate of the system model parameters. This initial estimate, or pre-estimate, can be evaluated in fixed time and may greatly accelerate subsequent iterative system identification procedures. A pre-estimation structure is developed and demonstrated with examples including single-tone frequency estimation and induction motor parameter identification.
Keywords :
iterative methods; parameter estimation; transient response; diagnostics; indirect measurements; initial guesses; iterative identification methods; model-based control; online applications; preestimation structure; system model parameters; transient response; Acceleration; Convergence; Frequency estimation; Genetic algorithms; Induction machines; Induction motors; Iterative methods; Parameter estimation; System identification; Transient response; Estimation; indirect measurement; modeling; system identification;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2004.827299