Real-time parameter identification and integration on deadbeat-direct torque and flux control (DB-DTFC) without inducing additional torque ripple

Abstract

This paper is dedicated to exploring real-time parameter identification approaches and their integration with deadbeat-direct torque and flux control (DB-DTFC) without additional torque ripple. By using the voltage model, at medium and high speed ranges DB-DTFC is insensitive to parameters. Performance degrades at low speeds with the rotor time constant errors because the current model is utilized for flux linkage estimation. Two different real-time parameter estimation approaches are developed, including a flux observer-based model reference adaptive system (MRAS) and a pulsating flux injection-based method. Both are experimentally evaluated for how well they mitigate DB-DTFC performance degradation at low speed. For the MRAS-based method, the fundamental components are used for parameter convergence, which does not induce additional torque ripple. For the injection-based method, traditional d-axis pulsating voltage vector injection used in IFOC yields significant torque ripple, particularly at high speed. The proposed pulsating flux injection scheme used in DB-DTFC excites the same magnitude of current harmonics and induces no additional torque ripple over a wide speed range.