Real-time observer for the vector control of an induction motor drive

Gray, David; Szekely, Zoltan; Apostoaia, Constantin

doi:10.1109/eit.2009.5189652

Cited by 1 publication

(1 citation statement)

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“…With the development of digital signal processing, algorithms for controlling induction machine had been widely introduced, such as fuzzy control algorithm [8] and real-time parameter estimation algorithm [9]. In order to achieve higher performance economically, [10]introduced a simple fuzzy controller combined with direct torque control and vector control, decreased the number of control parameters required, which improved dynamic performance significantly. While many high-performance control algorithms are verified effectively in traditional model of induction machine [11,12], the adaptive control algorithms' merits and the characteristics of actual machine, especially with iron loss, will be easily overlooked [1].…”

Section: Introductionmentioning

confidence: 99%

A Study of Vector Control of Induction Machine Considering Iron Loss

Ding

Wang

Luo

2011

AMR

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Because of the imperfects of traditional induction control system neglecting iron loss, this paper introduced the parallel equivalent resistance of iron loss, and use new mathematical model of induction machine to establish a more accurate vector control system. However, the increased coupling of parameters in induction machine caused by iron loss is undeserved. We simplified the decoupled system and utilize fuzzy adaptive mechanism to make the speed tuning process more intelligent and robust. The load and non-load experiments show that fuzzy PID controller overcomes the shortcomings of the traditional, reduces the detrimental impacts of iron loss, take advantages of the active impacts from it as well. In the new control system, it adapts to both inner and environmental parameters well, the torque and exciting current are smoother and lower. So, it is extremely meaningful and conducive to the realization of the economical speed tuning.

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