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Core loss resistance impact on sensorless speed control of an induction motor using hybrid adaptive sliding mode observer

Ayana Tadele, Wogi Lelissa, Morawiec Marcin

Archives of Electrical Engineering

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2023

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Vol. 72, nr 4

895--913

EN

Induction motors (IMs) experience power losses when a portion of the input power is converted to heat instead of driving the load. The combined effect of copper losses, core losses, and mechanical losses results in IM power losses. Unfortunately, the core losses in the motor, which have a considerable impact on its energy efficiency, are not taken into account by the generally employed dynamic model in the majority of the studies. Due to this, the motor rating often corresponds to the worst-case load in applications, but the motor frequently operates below rated conditions. A hybridized model reference adaptive system (MRAS) with sliding mode control (SMC) is used in this study for sensorless speed control of an induction motor with core loss, allowing the motor to operate under a variety of load conditions. As a result, the machine can run at maximum efficiency while carrying its rated load. By adjusting the 𝛼-axis current in the 𝛼 𝛽 reference frame in vector-controlled drives, the system’s performance is enhanced by running the motor at its optimum flux. Regarding the torque and speed of both induction motors with and without core loss, the Adaptive Observer Sliding Mode Control (AOSMC) has been constructed and simulated in this case. The AOSMC with core loss produced good performance when the proposed controller was tested.

2

Identyfikacja modelu robota mobilnego z użyciem adaptacyjnego obserwatora ESO

Patelski Radosław, Pazderski Dariusz

Prace Naukowe Politechniki Warszawskiej. Elektronika

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2022

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z. 197, t. 1

11-20

PL

W pracy rozważa się problem identyfikacji parametrów modelu dynamiki dwukołowego robota mobilnego z napędem różnicowym. Model dynamiki robota sformułowany został przy założeniu, że prędkości kół robota są mierzalnymi sygnałami wyjściowymi, natomiast prądy silników napędzających robota są sygnałami wejściowymi. W celu identyfikacji nieznanych parametrów robota wykorzystano zaproponowany niedawno adaptacyjny obserwator stanu rozszerzonego (PIESO) sformułowany poprzez połączenie klasycznego obserwatora stanu rozszerzonego (ESO) z gradientowym prawem adaptacji. Skuteczność proponowanego podejścia potwierdzono badaniami symulacyjnymi i eksperymentalnymi.

EN

In this paper a problem of identification of parameters of a two-wheeled mobile robot equipped with differential drive is considered. Model of the robot dynamics is formulated under an assumption that velocities of wheels are measurable outputs of the system, while the motor currents are input signals. In order to identify unknown parameters, a recent adaptive parameter identifying extended state observer (PIESO) algorithm is employed, which combines a classic ESO observer with a gradient adaptation law. The effectiveness of the proposed approach is validated by numerical and experimental trials.

3

Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs - application to chaos synchronization

Moysis Lazaros, Tripathi Meenakshi, Gupta Mahendra Kumar, Marwan Muhammad, Volos Christos

Archives of Control Sciences

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2022

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Vol. 32, No. 1

105--121

EN

This work addresses the problem of adaptive observer design for nonlinear systems satisfying incremental quadratic constraints. The output of the system includes nonlinear terms, which puts an additional strain on the design and feasibility of the observer, which is guaranteed under the satisfaction of an LMI, and a set of algebraic constraints. A particular case where the output nonlinearity matches the unknown parameter coefficient is also discussed. The result is illustrated through a numerical example for the chaos synchronization of the Rössler system.

4

An adaptive observer design approach for a class of discrete-time nonlinear systems

Srinivasarengan K., Ragot J., Aubrun C., Maquin D.

International Journal of Applied Mathematics and Computer Science

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2018

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Vol. 28, no. 1

55--67

EN

We consider the problem of joint estimation of states and some constant parameters for a class of nonlinear discrete-time systems. This class contains systems that could be transformed into a quasi-LPV (linear parameter varying) polytopic model in the Takagi–Sugeno (T–S) form. Such systems could have unmeasured premise variables, a case usually overlooked in the observer design literature. We assert that, for such systems in discrete-time, the current literature lacks design strategies for joint state and parameter estimation. To this end, we adapt the existing literature on continuous-time linear systems for joint state and time-varying parameter estimation. We first develop the discrete-time version of this result for linear systems. A Lyapunov approach is used to illustrate stability, and bounds for the estimation error are obtained via the bounded real lemma. We use this result to achieve our objective for a design procedure for a class of nonlinear systems with constant parameters. This results in less conservative conditions and a simplified design procedure. A basic waste water treatment plant simulation example is discussed to illustrate the design procedure.

5

Improved direct torque control of induction motors using adaptive observer and sliding mode control

Kouchih D, Tadjine M., Boucherit M. S.

Archives of Control Sciences

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2013

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Vol. 23, no. 3

361--376

EN

This paper presents the synthesis of an adaptive observer which is used for the improvement of the direct torque control of induction motor drives. The observer detects stator flux components in two-phase stationary reference frame, rotor speed and stator resistance by measure of the stator terminal voltages and currents. The observer is adapted using a simple algorithm which does not imply a high computational load. Stability analysis based on Lyapunov theory is performed in order to guarantee the closed loop stability. Simulation tests under load disturbance and stator resistance variation are provided to evaluate the consistency and performance of the proposed control technique in the low and high speeds.