ONLINE ESTIMATION OF VARIABLE PARAMETERS OF SYNCHRONOUS MACHINES USING A NOVEL ADAPTIVE ALGORITHM - PRINCIPLES AND PROCEDURES

A novel adaptive algorithm is presented for on-line estimation of vari able parameters of a synchronous machine (SM) as a function of the ope rating conditions. The concept of Synthesized Information Factor (SIF) is proposed as the core of the novel adaptive algorithm. For continuo us process, SIF optimally combines information from the past with that at the present. Adaptive principles based on SIF are discussed and th e adaptive estimation procedures are developed. Computer simulation re sults are given to highlight the advantages of the novel adaptive algo rithm over conventional Least Mean Square (LMS) and Recurrence Least S quare (RLS) algorithms. Application and experimental verification of t his novel adaptive algorithm is presented in detail in the companion p aper [1].