Title :
A comparison of discrete-time models for model predictive control of induction motor drives
Author :
Rojas, Christian A. ; Yuz, Juan I. ; Aguirre, Matias ; Rodriguez, Jose
Author_Institution :
Dept. of Electron. Eng., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
Abstract :
System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.
Keywords :
discrete time systems; induction motor drives; machine control; predictive control; MPC drive; direct control strategies; discrete-time models; discretization method; high-performance motor drive; induction machine; induction motor drives; model predictive control; numerical comparison; system modeling; time-varying systems; Approximation methods; Computational modeling; Mathematical model; Predictive models; Rotors; Stators; Taylor series; Discrete-time systems; Induction motor drives; Predictive control; Taylor series; Time-varying systems;
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
DOI :
10.1109/ICIT.2015.7125159