Optimization Procedure for Computing Sampling Time for Induction Machine Parameter Estimation

• Published in: Applied sciences Vol. 10; no. 9; p. 3222
• Main Authors: Benšić, Tin, Varga, Toni, Barukčić, Marinko, Jerković Štil, Vedrana
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-05-2020
• Subjects: Computer simulation; Control algorithms; Design and construction; Eigenvalues; Engineering research; induction machine; Induction motors; Methods; optimal sampling time; Optimization; Parameter estimation; prony series; Sampling; Transient current; Croatia
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app10093222

This paper presents a method for selecting the sampling time for induction machine parameter estimation from the machine line start measurements. the metaheuristic optimization method is used to find the optimal Prony exponential series approxiamtion of the line start transient current. From the optimal approximation, poles of the linearized induction machine model are computed and used to determine the optimal sampling time. the results show that sampling frequencies needed for parameter estimation are much lower than 1–15 kHz commonly used today. This reduces the necessary amount of collected data and the computing power needed for the estimation. the optimal sampling time is computed for the simulated and for the measured data. Referenced parameter estimation technique is tested for the measured transient showing benefits of using the optimal sampling time.