Abstract
Model productive control is a well-known and popular control method in motor drive application; but due to its high computational burden, it requires expensive micro-controller. The computational burden in MPC is highly related to the number of equations and states that it has to search in each control cycle. This paper proposes a novel method in predictive direct torque control (MPDTC) of synchronous reluctance motor (SynRM) to reach the optimal state with less numbers of predicted states. Firstly, the space vector sectioning is redefined as a function of torque error. Based on the defined sections and direct torque control (DTC) concept, the reduced optimal switching table is provided. In this method, the number of predicted states for next control cycle reduces by 57%. The results show the effectiveness of the proposed method in torque ripple, flux ripple and total harmonic distortion (THD) of current respect to the conventional MPDTC, which considers all switching states. The reduction in computational burden is not affected the optimal solution but enhanced the MPDTC method capability for implementation.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
