A comparison of discrete-time models for model predictive control of induction motor drives | IEEE Conference Publication | IEEE Xplore

A comparison of discrete-time models for model predictive control of induction motor drives


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 accura...Show More

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.
Date of Conference: 17-19 March 2015
Date Added to IEEE Xplore: 18 June 2015
Electronic ISBN:978-1-4799-7800-7
Conference Location: Seville, Spain

References

References is not available for this document.