
Implementation of adaptive inverse controller for an interior permanent magnet synchronous motor adjustable speed drive system based on predictive current control
Author(s) -
Chen Yi,
Liu TianHua,
Hsiao ChiehFu,
Lin ChengKai
Publication year - 2015
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2014.0035
Subject(s) - control theory (sociology) , digital signal processor , current loop , controller (irrigation) , electronic speed control , transient (computer programming) , inverter , synchronous motor , model predictive control , adaptive control , computer science , control engineering , control system , digital control , digital signal processing , current (fluid) , engineering , voltage , control (management) , electronic engineering , agronomy , electrical engineering , artificial intelligence , biology , operating system
This study investigates the implementation of predictive current control for an interior permanent magnet synchronous motor (IPMSM) drive system. By measuring the current deviation of each switching interval, the optimal switching state of the inverter can be determined. As a result, the proposed method is insensitive to the variations of the motor parameters. In addition, a satisfactory tracking ability of the current‐loop control can be achieved. An adaptive inverse controller, which includes adaptive modelling and adaptive control, is used as a speed‐loop control to enhance the performance of the adjustable closed‐loop speed control system, including fast transient responses, good load disturbance responses and satisfactory tracking responses. A digital signal processor (DSP), TMS‐320LF‐2407, is used to execute the predictive current control and the adaptive inverse controller. As a result, the hardware is very simple. Experimental results show that the proposed method can effectively improve the performance of an IPMSM drive.