Application of Adaptive Observer to Sensorless Induction Motor via Parameter-Dependent Transformation

Huang, Jin

doi:10.1109/tcst.2018.2863668

Cited by 15 publications

(3 citation statements)

References 19 publications

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“…2) Advances in High Gain Observer Design: The advances in high-gain observer (HGO) design [154], [155] accept a wider class of systems than (32), and application of this HGO to model 6 is studied in [160]. Moreover, the speed ω r and load torque T L can be treated as states, so that model 4 has been extended with an third R 2 state as z = −s(ω r J ψ A ) [161].…”

Section: State Observer Design Via Change Of Statesmentioning

confidence: 99%

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: A Unified Perspective

Yuan

Blaabjerg

Lee

2023

IEEE J. Emerg. Sel. Topics Power Electron.

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Section: State Observer Design Via Change Of Statesmentioning

confidence: 99%

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: A Unified Perspective

Yuan

Blaabjerg

Lee

2023

IEEE J. Emerg. Sel. Topics Power Electron.

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“…8) Advances in High Gain Observer Design: The known regressor for speed requirement is removed in the high gain observer design [149]. Application of this high gain observer to (37) is studied in [157], and it can also be applied to (34) or (35). A simulation study in [105] shows the high gain observer design proposed in [154] can identify resistances even in speed transients.…”

Section: Change Of States For Global Stabilitymentioning

confidence: 99%

Overview of AC Motor Sensorless Algorithms: a Unified Perspective

Mei¹,

Zuo²,

Zhu³

et al. 2021

Preprint

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This paper reviews sensorless algorithms for both induction motors and permanent magnet motors using the active flux model, such that any design applicable for non-salient pole ac motors can also be included in the review framework. The proposed review framework classifies all sensorless algorithms following a five-layer hierarchy abbreviated as O-I-M-A-I, resulting in four main categories as i) inherently sensorless position estimation, ii) non-inherently sensorless position estimation, iii) post-position-estimation speed estimation, and iv) speed estimation for indirect field orientation. Various ac motor models are derived by assuming a constant active flux amplitude, based on which seven generic sensorless algorithms are summarized in a tutorial. Recommendations are made for sensorless drive designers to begin with inherently sensorless method such that the two-way coupling between position estimation and speed estimation is avoided. Finally, classical induction motor model results from time-varying active flux amplitude and slip relation, for which a state transformation is recommended for achieving global stability.<br>

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“…To overcome the insurmountable influence of external disturbance, several types of observers are reported in the literature. Reference [26] designed a nonlinearly parameterized observer for a sensor-less induction motor by introducing a parameter-dependent transformation. A distributed adaptive output observer was designed for the leader-follower multiagent systems in [27].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear-Observer-Based Neural Fault-Tolerant Control for a Rehabilitation Exoskeleton Joint with Electro-Hydraulic Actuator and Error Constraint

Song

Yang

2023

Applied Sciences

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The rehabilitation exoskeleton is an effective piece of equipment for stroke patients and the aged. However, this complex human–robot system incurs many problems, such as modeling uncertainties, unknown human–robot interaction, external disturbance, and actuator fault. This paper addresses the adaptive fault-tolerant tracking control for a lower limb rehabilitation exoskeleton joint driven by an electro-hydraulic actuator (EHA). First, the model of the exoskeleton joint is built by considering the principle of the hydraulic cylinder and the servo valve. Then, a novel disturbance-observer-based neural fault-tolerant control scheme is proposed, where the neural network and disturbance observer are incorporated to reduce the influence of the the nonlinear uncertainties and disturbance. Meanwhile, a barrier Lyapunov function is constructed to ensure the stability of the closed-loop system. Finally, comparative simulations on an exoskeleton joint validate the effect of the proposed control scheme.

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Application of Adaptive Observer to Sensorless Induction Motor via Parameter-Dependent Transformation

Cited by 15 publications

References 19 publications

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: A Unified Perspective

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: A Unified Perspective

Overview of AC Motor Sensorless Algorithms: a Unified Perspective

Nonlinear-Observer-Based Neural Fault-Tolerant Control for a Rehabilitation Exoskeleton Joint with Electro-Hydraulic Actuator and Error Constraint

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