Open AccessInduction Motor DTC Performance Improvement by Reducing Flux and Torque Ripples in Low Speed
Author(s) -
Yassine Zahraoui,
Mohamed Akherraz,
Sara Elbadaoui
Publication year - 2022
Publication title -
journal of robotics and control/journal of robotics and control (jrc)
Language(s) - English
Resource type - Journals
eISSN - 2715-5072
pISSN - 2715-5056
DOI - 10.18196/jrc.v3i1.12550
Subject(s) - control theory (sociology) , direct torque control , vector control , induction motor , torque , robustness (evolution) , computer science , space vector modulation , matlab , electronic speed control , inverter , control engineering , engineering , voltage , control (management) , physics , biochemistry , chemistry , artificial intelligence , gene , electrical engineering , thermodynamics , operating system
Since induction motors were invented, human civilization has changed forever. Due to their beneficial characteristics, induction motors are widely used and have become the most prevalent electrical counterparts. Many control strategies for induction motors have been developed, varying from scalar to vector control. In the class of vector control, the Direct Torque Control (DTC) was proposed as an alternative that ensures separated flux and torque control while remaining completely in a stationary reference frame. It offers direct inverter switching, reasonable simplicity than other vector control techniques, and less sensitivity to parameter variation. However, the use of hysteresis controllers in conventional DTC involves non-desired ripples in the system's flux and torque, which leads to bad system performances, primarily in low-speed operations. This paper aims to minimize the chattering and ensure the augmented system's performance in terms of robustness and stability. The proposed method is an improved version of DTC, which combines the addition of the Space Vector Machine (SVM) algorithm to the DTC and the increased number of DTC sectors that generate reference control voltages. Satisfactory results have been obtained by numerical simulation in MATLAB/Simulink. Eventually, the proposed method is proven to be a fast dynamic decoupled control that robustly responds to external disturbance and system uncertainties, especially in the low-speed range.