The position control of induction motors using a binary disturbance observer

Han, Yoon-Seok; Kim, Young-Seok; Okuma, Shigeru

doi:10.1163/156855300741483

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…After reaching the sliding-mode surface s 2 ; the error of rotor flux, e 2 ; will exponentially converge to zero, that is the rotor flux will converge to its reference [12]. The variable k 2 is the exponential decay rate and can be set as a positive constant.…”

Section: Sliding-mode Surfacesmentioning

confidence: 99%

A new non‐linear sliding‐mode torque and flux control method for an induction machine incorporating a sliding‐mode flux observer

Fang

Dunnigan

2004

Intl J Robust & Nonlinear

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SUMMARYIn this paper a novel sliding-mode control algorithm, based on the differential geometry state-co-ordinates transformation method, is proposed to control motor torque directly. Non-linear feedback linearization theory is employed to decouple the control of rotor flux magnitude and motor torque. The advantages of this method are: (1) The rotor flux and the generated torque can be accurately controlled. (2) Robustness with respect to matched and mismatched uncertainties is obtained. Additionally, a varying continuous control term is proposed. As a result, chattering is eliminated without sacrificing robustness and precision. The control strategy is based on all motor states being available. In practice the rotor fluxes are not usually measurable, and a sliding-mode observer is derived to estimate the rotor flux. The observer is designed to possess invariant dynamic modes which can be assigned independently to achieve the desired performance. Furthermore, it can be shown that the observer is robust against model uncertainties and measurement noise. Simulation and practical results are presented to confirm the characteristics of the proposed control law and rotor flux observer.

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Section: Sliding-mode Surfacesmentioning

confidence: 99%

A new non‐linear sliding‐mode torque and flux control method for an induction machine incorporating a sliding‐mode flux observer

Fang

Dunnigan

2004

Intl J Robust & Nonlinear

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“…Fukashi Andoh is with YASKAWA Electric Corporation, Kitakyushu, Fukuoka 803-8530 Japan (e-mail: fandoh@ yaskawa.co.jp). contrived and studied [1]- [2].…”

Section: Introductionmentioning

confidence: 99%

Inertia identification method based on the product of the integral of torque reference input and motor speed

Andoh

2008

2008 IEEE International Conference on Control Applications

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This paper presents a novel approach to the inertia identification problem of mechatronic servo systems with limited strokes. In the proposed approach, the product of the integral of torque reference input and motor speed of mechatronic servo system in periodic motion is calculated. Then its time average over one period is used to calculate inertia. The proposed approach can identify inertia with infinitesimal motions within short time interval, and suits online and off-line identification of mechatronic servo systems with limited strokes, and off-line inertia identification of industrial machineries with interfering degrees of freedom especially in the preparatory period after they are turned on and before their normal operation starts. The proposed approach utilizes an integral of torque reference input, and can identify inertia when torque reference input contains large amount of noises. Simulations and experiments on an electric motor and a linear slider suggest the feasibility of the proposed approach on single-degree-of-freedom (SDOF) systems and two-degree-of-freedom (2DOF) systems with limited strokes. * * J J J e J

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Inertia Identification of Mechatronic Servo Systems with Infinitesimal Motions

Andoh

2007

2007 IEEE International Conference on Automation Science and Engineering

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The position control of induction motors using a binary disturbance observer

Cited by 3 publications

References 3 publications

A new non‐linear sliding‐mode torque and flux control method for an induction machine incorporating a sliding‐mode flux observer

A new non‐linear sliding‐mode torque and flux control method for an induction machine incorporating a sliding‐mode flux observer

Inertia identification method based on the product of the integral of torque reference input and motor speed

Inertia Identification of Mechatronic Servo Systems with Infinitesimal Motions

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