2017Unpublished venueRequires access

A new closed-loop voltage model flux observer for sensorless DTC method

Armaghan Aliaskari, S. Alireza Davari

Open publisher page 1 citations

Abstract

Direct torque control (DTC) is a well-known method for ac induction motor (IM) drive systems. This approach is based on estimating stator flux and torque. So, accurate flux estimation is one of the fundamental key components of DTC drives. In this paper, an improved stator flux estimation technique based on the voltage model with stator flux and stator current errors as feedbacks is introduced. The goal of the novel observer is compensating the conventional voltage model based flux observer shortcomings such as, integration drift and integrator saturation problems. In proposed reduced-order flux observer, stator flux and current errors are applied to the integrator through static gains in order to shift poles of the observer transfer function to the left in the complex plane. So, the stability of the flux observer and consequently the DTC operation is improved. The robustness and dynamic performance of the novel observer are evaluated by means of simulations under critical loads.

About this research paper

What this paper is about

Direct torque control (DTC) is a well-known method for ac induction motor (IM) drive systems. This approach is based on estimating stator flux and torque. So, accurate flux estimation is one of the fundamental key components of DTC drives. In this paper, an improved stator flux estimation technique based on the voltage model with stator flux and stator current errors as feedbacks is introduced. The goal of the novel observer is compensating the conventional voltage model based flux observer shortcomings such as, integration drift and integrator saturation problems. In proposed reduced-order flux observer, stator flux and current errors are applied to the integrator through static gains in order to shift poles of the observer transfer function to the left in the complex plane. So, the stability of the flux observer and consequently the DTC operation is improved. The robustness and dynamic performance of the novel observer are evaluated by means of simulations under critical loads.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Direct torque control (DTC) is a well-known method for ac induction motor (IM) drive systems. This approach is based on estimating stator flux and torque. So, accurate flux estimation is one of the fundamental key components of DTC drives. In this paper, an improved stator flux estimation technique based on the voltage model with stator flux and stator current errors as feedbacks is introduced. The goal of the novel observer is compensating the conventional voltage model based flux observer shortcomings such as, integration drift and integrator saturation problems. In proposed reduced-order flux observer, stator flux and current errors are applied to the integrator through static gains in order to shift poles of the observer transfer function to the left in the complex plane. So, the stability of the flux observer and consequently the DTC operation is improved. The robustness and dynamic performance of the novel observer are evaluated by means of simulations under critical loads.

Key concepts: Control theory (sociology), Integrator, Stator, Direct torque control, Torque, Observer (physics), Robustness (evolution), Vector control

Related papers

Back to paper searchBrowse research topicsOriginal source
A new closed-loop voltage model flux observer for sensorless DTC method — Research Paper | ScholarLens