
Non-independent speed control for dual-PMSM drives fed by a single three-leg VSI
Author(s) -
Jurifa Mat Lazi,
Zulkifilie Ibrahim,
Hairul Nizam Talib
Publication year - 2020
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v20.i3.pp1717-1724
Subject(s) - control theory (sociology) , inverter , dual (grammatical number) , vector control , torque , voltage , electronic speed control , pulse width modulation , direct torque control , matlab , computer science , topology (electrical circuits) , induction motor , engineering , control (management) , physics , electrical engineering , art , literature , artificial intelligence , thermodynamics , operating system
The objective of this article is to analyze the performances of Non-Independent Speed Control of Dual-PMSM (Permanent Magnet Synchronize Motor) Drives by a single Three-Leg Voltage Source Inverter (VSI) using control of Mean and Differential Torque technique. In general, there are two types of control strategies for Dual-Motor drives. One is Master-Slave technique and another one is Mean Control technique. For mean control technique, this study chooses mean and differential approach for the motors parameters and averaging the voltage space vector. The advantages of Dual-Motor drives fed by a single inverter topology are, it can reduce size and cost compared to the Dual-motor drives fed by individual inverter, either in industrial or in traction applications. However, by using a single three-phase inverter, the topology only restricted for the same operating conditions which are at the same speed, same parameters and same direction. The dual-motors are dependent (non-independent) on the other motor. It is can only be tested on different load operation. The analysis is focuses on speed and load variation for Dual-PMSM drives considering the forward and reverse operations of the motor. This simulation model is modelled using MATLAB-Simulink.