On-Line Estimation of Variable Parameters of Synchronous Machines Using a Novel Adaptive Algorithm - - Energy Conversion, IEEE Transactions on
نویسندگان
چکیده
A novel adaptive algorithm is presented for on-line estimation of variable parameters of a synchronous machine (SM) as a function of the operating conditions. The concept of Synthesized Information Factor (SIF) is proposed as the core of the novel adaptive algorithm. For continuous process, SIF optimally combines information from the past with that at the present. Adaptive principles based on SIF are discussed and the adaptive estimation procedures are developed. Computer simulation results are given to highlight the advantages of the novel adaptive algorithm over conventional Least Mean Square (LMS) and Recurrence Least Square (RLS) algorithms. Application and experimental verification of this novel adaptive algorithm is presented in detail in the companion paper HI.
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