Sliding-Mode Control for Systems With Mismatched Uncertainties via a Disturbance Observer

Yang, Jun; Li, Shengbo Eben; Yu, Xinghuo

doi:10.1109/tie.2012.2183841

Cited by 1,174 publications

(750 citation statements)

References 42 publications

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“…The lumped disturbance of the system is estimated using nonlinear disturbance observer as given in [16]. The dynamics of the disturbance observer for estimating the disturbance on the system are given below.…”

Section: Design Of Sliding Mode Controllermentioning

confidence: 99%

Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Tummala¹,

Inapakurthi²,

Ramanarao³

2018

J. Mod. Power Syst. Clean Energy

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With the global consciousness of climate change, renewable energy systems are prioritized over the conventional energy systems. The deep injection of renewables into the power systems is creating several challenges to the grid due to wide variations in their output power depending on the time of the day, weather etc. Of these challenges, frequency change plays a vital role in maintaining the power quality. This paper presents a novel sliding mode controller with non-linear disturbance observer to effectively mitigate the wide changes in the frequency. A sliding mode surface based on estimated disturbance along with states is designed. A sliding mode control law is proposed to compensate disturbances including variations in renewables, load and parameters under mismatched uncertainties. The proposed observer based controller is tested for three area multi-machine power system in MATLAB/Simulink. The simulated results proved to alleviate the frequency variations effectively compared to the conventional controllers.

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Section: Design Of Sliding Mode Controllermentioning

confidence: 99%

Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Tummala¹,

Inapakurthi²,

Ramanarao³

2018

J. Mod. Power Syst. Clean Energy

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“…In industrial applications, a PM motor is considered as a system with mismatched uncertainties [27]. Therefore, it is important to reduce or eliminate the effects of the uncertainties on controller performance.…”

Section: Sliding Mode Controlmentioning

confidence: 99%

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

Salehifar¹,

Arashloo²,

Eguilaz³

et al. 2015

Journal of Power Electronics

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The voltage-source inverters (VSI) supplying a motor drive are prone to open transistor faults. To address this issue in faulttolerant drives applicable to electric vehicles, a new open transistor fault diagnosis (FD) method is presented in this paper. According to the proposed method, in order to define the FD index, the phase angle of the converter output current is estimated by a simple trigonometric function. The proposed FD method is adaptable, simple, capable of detecting multiple open switch faults and robust to load operational variations. Keeping the FD in mind as a mandatory part of the fault tolerant control algorithm, the FD block is applied to a five-phase converter supplying a multiphase fault-tolerant PM motor drive with nonsinusoidal unbalanced current waveforms. To investigate the performance of the FD technique, the fault-tolerant sliding mode control (SMC) of a five-phase brushless direct current (BLDC) motor is developed in this paper with the embedded FD block. Once the theory is explained, experimental waveforms are obtained from a five-phase BLDC motor to show the effectiveness of the proposed FD method. The FD algorithm is implemented on a field programmable gate array (FPGA).

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“…In addition, it can be concluded that the sliding mode dynamics (21) or the sliding surface (15) is asymptotically stable.…”

Section: A Nonlinear Sliding Surface Designmentioning

confidence: 99%

“…It should be noted that there is almost no performance difference between the approximated control law and the actual control law [15] as η approaches zero. It should be noted that the chattering and mismatched uncertainties problems [20], can be mitigated by methods such as the homogeneity approach to high-order sliding mode control, the observer-based chattering suppression method, the state-dependent gain method, the equivalent control dependent gain method, the chattering frequency control method using a hysteresis loop, and the integral SMC presented in [21].…”

Section: Remarkmentioning

confidence: 99%

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

Jung¹,

Dang²,

Vu³

et al. 2015

Journal of Power Electronics

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This paper presents a nonlinear sliding mode control (SMC) scheme with a variable damping ratio for interior permanent magnet synchronous motors (IPMSMs). First, a nonlinear sliding surface whose parameters change continuously with time is designed. Actually, the proposed SMC has the ability to reduce the settling time without an overshoot by giving a low damping ratio at the initial time and a high damping ratio as the output reaches the desired setpoint. At the same time, it enables a fast convergence in finite time and eliminates the singularity problem with the upper bound of an uncertain term, which cannot be measured in practice, by using a simple adaptation law. To improve the efficiency of a system in the constant torque region, the control system incorporates the maximum torque per ampere (MTPA) algorithm. The stability of the nonlinear sliding surface is guaranteed by Lyapunov stability theory. Moreover, a simple sliding mode observer is used to estimate the load torque and system uncertainties. The effectiveness of the proposed nonlinear SMC scheme is verified using comparative experimental results of the linear SMC scheme when the speed reference and load torque change under system uncertainties. From these experimental results, the proposed nonlinear SMC method reveals a faster transient response, smaller steady-state speed error, and less sensitivity to system uncertainties than the linear SMC method.

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Sliding-Mode Control for Systems With Mismatched Uncertainties via a Disturbance Observer

Cited by 1,174 publications

References 42 publications

Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

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