Sensorless second order sliding mode observer for induction motor

Solvar, Sebastien; Le, Vu Tuan Hieu; Ghanes, Malek; Barbot, Jean Pierre; Santomenna, Gaëtan

doi:10.1109/cca.2010.5611102

Cited by 30 publications

(19 citation statements)

References 14 publications

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“…Euler discretization (e.g., [14][15][16]), depends on the sampling interval, as pointed out in [11]. In addition, they are prone to overshoot during the convergence.…”

Section: Journal Of Control Science and Engineeringmentioning

confidence: 99%

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Jin

Kikuuwe

Yamamoto

2012

Journal of Control Science and Engineering

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This paper presents the results of quantitative performance evaluation of an authors' new parabolic sliding mode filter, which is for removing noise from signals in robotics and mechatronics applications, based on the frequency and time domain characteristics. Based on the evaluation results, the paper presents selection guidelines of two parameters of the filter. The evaluation results show that, in the frequency domain, the noise removing capability of the filter is almost the same as that of the second-order Butterworth low-pass filter (2-LPF), but its phase lag is smaller (maximum 150 degree) than that of 2-LPF (maximum 180 degree). Moreover, the filter produces smaller phase lag than a conventional parabolic sliding mode filter with appropriate selection of the parameters. In the time domain, the filter produces smaller overshoot than 2-LPF and the conventional one, while maintaining short transient time, by using an appropriately selected parameter. The presented parameter selection guidelines state that the values of the parameters should be chosen according to some estimated characteristics of the input and some desired characteristics of the output. The effectiveness of the filter and the presented guidelines is validated through numerical examples and their application to a closed-loop, force control of a robot manipulator.

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“…Euler discretization (e.g., [14][15][16]), depends on the sampling interval, as pointed out in [11]. In addition, they are prone to overshoot during the convergence.…”

Section: Journal Of Control Science and Engineeringmentioning

confidence: 99%

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Jin

Kikuuwe

Yamamoto

2012

Journal of Control Science and Engineering

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“…The sliding mode observer method was explained in detail in the literature [29][30][31][32]. The observer can be constructed independently from the controller information.…”

Section: Optimal Slip Velocity Seeking Methodsmentioning

confidence: 99%

Re-adhesion control strategy based on the optimal slip velocity seeking method

2018

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In the railway industry, re-adhesion control plays an important role in attenuating the slip occurrence due to the low adhesion condition in the wheel-rail interaction. Braking and traction forces depend on the normal force and adhesion coefficient at the wheel-rail contact area. Due to the restrictions on controlling normal force, the only way to increase the tractive or braking effect is to maximize the adhesion coefficient. Through efficient utilization of adhesion, it is also possible to avoid wheel-rail wear and minimize the energy consumption. The adhesion between wheel and rail is a highly nonlinear function of many parameters like environmental conditions, railway vehicle speed and slip velocity. To estimate these unknown parameters accurately is a very hard and competitive challenge. The robust adaptive control strategy presented in this paper is not only able to suppress the wheel slip in time, but also maximize the adhesion utilization performance after re-adhesion process even if the wheel-rail contact mechanism exhibits significant adhesion uncertainties and/or nonlinearities. Using an optimal slip velocity seeking algorithm, the proposed strategy provides a satisfactory slip velocity tracking ability, which was demonstrated able to realize the desired slip velocity without experiencing any instability problem. The control torque of the traction motor was regulated continuously to drive the railway vehicle in the neighborhood of the optimal adhesion point and guarantee the best traction capacity after re-adhesion process by making the railway vehicle operate away from the unstable region. The results obtained from the adaptive approach based on the secondorder sliding mode observer have been confirmed through theoretical analysis and numerical simulation conducted in MATLAB and Simulink with a full traction model under various wheel-rail conditions.

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“…Where  and λ are >0 and ) (t  is the output of the differentiator (observer) which is the estimator of the derivative of g(t). According to [28,30,31], the following are the sufficient conditions for the convergence of ) (t The main drawback of this observer is the well-known chattering phenomenon due to the sign function. To reduce the effects of this phenomenon, we can replace the sign(x) function by…”

Section: Estimation Of the Derivatives Via Sliding Mode Techniquementioning

confidence: 99%

Robust Fault Diagnosis and Load Torque Estimation in Electrical Drives Using Analytical Redundancy Relations and Sliding Mode Observer

Medjmadj

Mostefai

2018

IJEEI

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Electrical drives are more and more used in transportation applications and industrial process because of their effective cost and high efficiency. They have become critical components and therefore any fault or failure affecting them may seriously endanger the users and/or induce huge financial costs. As a consequence, early detection and isolation of these faults is recommended if not mandatory to enhance the safety, the availability, the reliability and improve the maintenance and the operational efficiency. Analytical Redundancy Relations (ARR) are used to compute to structured residuals on which the diagnosis is based. To smooth the residuals and enhance the fault detection capability, a sliding mode observer is developed to compute the derivatives. The analysis of the residuals reveals that they are Gaussian signals with a change in the mean. The comparison between the two-sigma and the two-sided CUSUM methods has shown that the latter is more efficient to compute the thresholds. Therefore with the two-sided CUSUM, the rotor resistance fault is detected with no false alarm. Moreover it is proved that the fault diagnosis is robust to the load torque variations. Beside, thanks to the residual, a load torque estimator is also developed. Extensive simulation results prove the validity of our approach.

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Sensorless second order sliding mode observer for induction motor

Cited by 30 publications

References 14 publications

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Re-adhesion control strategy based on the optimal slip velocity seeking method

Robust Fault Diagnosis and Load Torque Estimation in Electrical Drives Using Analytical Redundancy Relations and Sliding Mode Observer

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