Open AccessAnalytical approach to estimate mechanical parameters in induction machine using transient response parameters
Author(s) -
Saxeitin Kumar,
Kumar Ashwani
Publication year - 2019
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2751
Subject(s) - transient (computer programming) , moment of inertia , induction motor , rotor (electric) , inertia , range (aeronautics) , generator (circuit theory) , mechanical system , moment (physics) , electric power system , control theory (sociology) , estimation theory , engineering , computer science , power (physics) , mechanical engineering , algorithm , voltage , artificial intelligence , control (management) , electrical engineering , operating system , physics , classical mechanics , quantum mechanics , aerospace engineering
Summary Induction machine is the most popular machine in power system because of its wide range of operations in motor as well as in generator too, and therefore, its accurate parameters estimation and modeling is always required. Induction machine parameters can be classified into two categories: (1) electrical parameters and (2) mechanical parameters. DC test, no load, and block rotor tests are the popular experimental methods to evaluate electrical parameters. To find mechanical parameters such as moment of inertia and damping coefficient, retardation test is performed. In simulation‐based studies, an analytical approach is required for estimating both electrical and mechanical parameters for induction machine directly by using manufacturer data as mentioned by the machine suppliers. Analytical methods for getting electrical parameters have been presented by several authors while procedure for estimating mechanical parameters is almost untouched. This paper presents an analytical approach especially for estimating mechanical parameters of induction machine using transient response parameters along with electrical parameters' estimation followed by initial reference model. Results are obtained for machines of rating 1.1, 3.0, 11, 37.5, and 50 kW. The performances are also validated with the recent published papers that estimate the parameters using experimental procedures.