Adaptive interconnected observer-based backstepping control design for sensorless induction motor

Traore, D.; León, J. De; Glumineau, Alain

doi:10.1016/j.automatica.2012.01.018

Cited by 41 publications

(9 citation statements)

References 3 publications

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“…In this strategy, input power parameters are processed using a 3-phase DC-AC inverter due to which the induction motor is controlled indirectly. The d-q axis rotated frame transformed mathematical model of the induction motor is given in [45] by equations (15)- (19).…”

Section: Combined Inverter-motor Modelmentioning

confidence: 99%

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Robust Integral Backstepping Control for Unified Model of Hybrid Electric Vehicles

et al. 2020

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Exponential decrease in oil and natural gas resources, increasing global warming issues and insufficiency of fossil fuels has shifted the focus to fuel cell hybrid electric vehicles (FHEVs). FHEV model used in this work consists of fuel cell, ultracapacitor and battery. Non-linearities present in the vehicle model dominate because of extreme driving conditions like rough terrains, slippery roads or hilly areas. Behavior of components like energy sources, induction motors and power processing blocks deviate significantly from their normal behavior when driving in highly demanding situations. To tackle these shortcomings, non-linear controllers are preferred because of their efficiency. In literature, different controllers have been proposed for either the energy sources or the induction motor separately, whereas this research work focuses on a unified hybrid electric vehicle (HEV) model to simultaneously control the energy sources and the induction motor. The model used is a complete representation of electric system of FHEV and increases the performance of the vehicle. This unified model provides improved DC bus voltage regulation along with speed tracking when subjected to European extra urban drive cycle (EUDC). In this work, Robust Integral Backstepping and Robust Backstepping controllers have been designed. Lyapunov based analysis ensures the global stability of the system. Performance of proposed controllers is validated in MATLAB/Simulink environment. A comparative analysis is also given to illustrate the importance of the unified model proposed in this work. INDEX TERMS Hybrid electric vehicles, unified model, non-linear control, integral backstepping control, backstepping control, stabilizing functions.

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Section: Combined Inverter-motor Modelmentioning

confidence: 99%

“…To ensure thatV 1 stays negative definite, let us take (45) where the design parameter k 1 can have any positive constant value. Taking x 4 L 1 as virtual control and representing it by γ , we get…”

Section: A Integral Backstepping Sliding Mode Controller Designmentioning

confidence: 99%

Robust Integral Backstepping Control for Unified Model of Hybrid Electric Vehicles

et al. 2020

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“…This fact suggests that similar control techniques developed for the continuous-time model as inputoutput feedback linearization [26], sliding mode block control [28], backstepping [29], among others can be carried on for both discrete-time models as long as the corresponding decoupling matrix is no singular.…”

Section: A Relative Degreementioning

confidence: 99%

Discrete-Time Modeling and Control of Induction Motors by Means of Variational Integrators and Sliding Modes—Part I: Mathematical Modeling

Rivera

2015

IEEE Trans. Ind. Electron.

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This work deals with the discrete-time modeling of induction motors by means of a variational integrator. A Lagrangian is first formulated for the induction motor where the corresponding discrete Lagrangian is derived based on the one-point quadrature rule integration method (in this case the variational integrator is known as symplectic Euler). Then, a discrete action principle is applied which guarantees the optimum path in a discrete-time setting. The forcing and dissipation are added by using the discrete Lagrange d'Alembert principle. Finally discrete-time update rules are obtained for induction motors. Then, theoretic properties as relative degree and steadystate are studied for the continuos-time, symplectic Euler and explicit Euler models. Simulations are carried on for different sampling periods where results are compared with a discretetime model obtained with the classical explicit Euler method. It is put in evidence that the symplectic Euler model approximates better the induction motor dynamics than the model obtained with classical Euler method.

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“…Among several types of electric motors, three-phase induction machines (IMs) occupy a prominent place. Indeed, at least 80% of industrial control systems use induction motors [2], which have gradually taken the place of DC machines because of their good performance: reliability, simple construction, low cost and simple maintenance [3,4]. However, these numerous advantages are not without inconvenience, the dynamic behavior of the machine is often very complex [5,6], since its modeling results in a system of nonlinear equations, strongly coupled and multivariable.…”

Section: Introductionmentioning

confidence: 99%

Modern improvement techniques of direct torque control for induction motor drives - a review

Ouanjli¹,

Derouich²,

Ghzizal³

et al. 2019

Prot Control Mod Power Syst

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Conventional direct torque control (DTC) is one of the excellent control strategies available to control the torque of the induction machine (IM). However, the low switching frequency of the DTC causes high ripples in the flux and torque that leads to an acoustic noise which degrades the control performances, especially at low speeds. Many direct torque control techniques were appeared to remedy these problems by focusing specifically on the torque and flux. In this paper, a state of the art review of various modern techniques for improving the performance of DTC control is presented. The objective is to make a critical analysis of these methods in terms of ripples reduction, tracking speed, switching loss, algorithm complexity and parameter sensitivity. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for academic and industrial researchers.

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Adaptive interconnected observer-based backstepping control design for sensorless induction motor

Cited by 41 publications

References 3 publications

Robust Integral Backstepping Control for Unified Model of Hybrid Electric Vehicles

Robust Integral Backstepping Control for Unified Model of Hybrid Electric Vehicles

Discrete-Time Modeling and Control of Induction Motors by Means of Variational Integrators and Sliding Modes—Part I: Mathematical Modeling

Modern improvement techniques of direct torque control for induction motor drives - a review

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