Title :
Implementation of a novel matrix converter PMSM drive
Author :
Chen, Der-Fa ; Liu, Tian-Hua
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fDate :
7/1/2001 12:00:00 AM
Abstract :
This paper proposes a neural-network current-regulated switching strategy and an intelligent controller for a matrix converter permanent magnet synchronous motor (PMSM) drive system. By using this new switching strategy, the current harmonics of the system are effectively reduced. In addition, by using the intelligent controller, position control of the drive system can be achieved and an adjustable speed range from 1 r/min to 1500 r/min can be obtained. All the current-loop, speed-loop, and position-loop control algorithms are implemented by a 32-bit TMS320C40 digital signal processor. Several experimental results are shown to validate the theoretical analysis
Keywords :
AC-DC power convertors; intelligent control; neural nets; permanent magnet motors; position control; synchronous motor drives; 32 bit; TMS320C40 digital signal processor; adjustable speed range; current harmonics; current-loop control algorithm; intelligent controller; matrix converter PMSM drive; neural-network current-regulated switching strategy; permanent magnet synchronous motor; position control; position-loop control algorithm; speed-loop control algorithm; switching strategy; Control systems; Digital signal processors; Energy storage; Intelligent control; Magnetic switching; Matrix converters; Permanent magnet motors; Position control; Signal processing algorithms; Switches;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
