Auto-Regressive Exogeneous Structure Based Predictive Torque Control of Induction Motor Drive With Improved Flux Estimation

The accuracy of conventional predictive torque control (CPTC) of an induction machine relies on precise machine parameters and combinatory estimation of these parameters is tedious since they are coupled and continuously varying with operating conditions. To make control robust against imprecise mod...

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Published inIEEE transactions on industry applications Vol. 61; no. 5; pp. 7281 - 7291
Main Authors V, Kousalya, Singh, Bhim
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptation models
Auto regressive exogeneous structure (ARX)
Control algorithms
Control theory
Difference equations
Estimation
Frequency estimation
frequency locked loop (FLL)
Frequency locked loops
Frequency locking
induction motor
Induction motors
model free predictive torque control
Motors
Parameters
Predictive control
Predictive models
recursive least square (RLS) algorithm
Resonant frequency
Robust control
second order generalized integrator (SOGI)
Stators
Torque
Torque control
Vectors
Online AccessGet full text
ISSN0093-9994
1939-9367
DOI10.1109/TIA.2025.3550152

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Abstract The accuracy of conventional predictive torque control (CPTC) of an induction machine relies on precise machine parameters and combinatory estimation of these parameters is tedious since they are coupled and continuously varying with operating conditions. To make control robust against imprecise models and variations in machine parameters, autoregressive exogenous structure-based predictive torque control (ARX-PTC) is presented in this work. ARX structure is formed by relating discrete time input and output samples using a linear difference equation, in which coefficients are tuned online with the help of the recursive least square (RLS) method. Adaptive dual second order generalized integrator (DSOGI) along with gain normalized improved frequency locked loop (IFLL) is employed for precise flux estimation that nullifies the issues of DC drift and harmonics present in sensed signal. To accurately track frequency ramp references (acceleration and deceleration mode), an improved structure of FLL is used. The presented control algorithm is simulated in Matlab/Simulink platform and effectiveness of control is verified with the experimental results.
AbstractList The accuracy of conventional predictive torque control (CPTC) of an induction machine relies on precise machine parameters and combinatory estimation of these parameters is tedious since they are coupled and continuously varying with operating conditions. To make control robust against imprecise models and variations in machine parameters, autoregressive exogenous structure-based predictive torque control (ARX-PTC) is presented in this work. ARX structure is formed by relating discrete time input and output samples using a linear difference equation, in which coefficients are tuned online with the help of the recursive least square (RLS) method. Adaptive dual second order generalized integrator (DSOGI) along with gain normalized improved frequency locked loop (IFLL) is employed for precise flux estimation that nullifies the issues of DC drift and harmonics present in sensed signal. To accurately track frequency ramp references (acceleration and deceleration mode), an improved structure of FLL is used. The presented control algorithm is simulated in Matlab/Simulink platform and effectiveness of control is verified with the experimental results.
Author V, Kousalya
Singh, Bhim
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Snippet The accuracy of conventional predictive torque control (CPTC) of an induction machine relies on precise machine parameters and combinatory estimation of these...
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SubjectTerms Adaptation models
Auto regressive exogeneous structure (ARX)
Control algorithms
Control theory
Difference equations
Estimation
Frequency estimation
frequency locked loop (FLL)
Frequency locked loops
Frequency locking
induction motor
Induction motors
model free predictive torque control
Motors
Parameters
Predictive control
Predictive models
recursive least square (RLS) algorithm
Resonant frequency
Robust control
second order generalized integrator (SOGI)
Stators
Torque
Torque control
Vectors
Title Auto-Regressive Exogeneous Structure Based Predictive Torque Control of Induction Motor Drive With Improved Flux Estimation
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