A Two-Degree-of-Freedom Internal Model-Based Active Disturbance Rejection Controller for a Wind Energy Conversion System

Das, Satyajit; Subudhi, Bidyadhar

doi:10.1109/jestpe.2019.2905880

Cited by 23 publications

(13 citation statements)

References 33 publications

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“…It will cause difficulties to design controller for WECS. In addition, the upper/lower bound values of the uncertainties do not know, hence the previous methods in papers [9]- [16], [20]- [23] are unable to apply to design controller for this case. Additionally, the WECS in this work also assumes that 1.…”

Section: B Problem Statementmentioning

confidence: 99%

“…The WECS is not an exception, it is also strongly affected by the disturbance and the uncertainties. Recently, there are several studies paying attention to control of the WECS with existence of the uncertainties and/or disturbance [9], [20]- [23]. In paper [9], the time-varying uncertainty affected WECS; however, the uncertainty in this case was only impacted to the mechanical part of WECS and the system disturbance was not considered in this work.…”

Section: Introductionmentioning

confidence: 99%

“…The active disturbance rejection controller was synthesized for the WECS in papers [22] and [23], but these two papers only consider the existence of the disturbance and did not concern the influence of the uncertainties. With above analyses, it is seen that the previous papers either deal with the uncertainties [9], [20], [21] or take into consideration of the disturbance [22], [23]. To the best of our knowledge, up-to-now, there is not any paper considering the WECS system with the existence of both uncertainties and disturbance simultaneously.…”

Section: Introductionmentioning

confidence: 99%

“…Recent years, a new format to model the system called "polynomial linear system" was investigated in many papers [23]- [28]. The polynomial linear system, actually, is an extended format of the linear system.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Robust MPPT Observer-Based Control System for Wind Energy Conversion System With Uncertainties and Disturbance

Ngo

et al. 2021

IEEE Access

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The problem of tracking the maximum power point for the wind energy conversion system (WECS) is taken into consideration in this paper. The WECSs in this article is simultaneously affected by the uncertainties and the arbitrary disturbance that cause the WECSs to be much more challenging to control. A new method to synthesize a polynomial disturbance observer for estimating the aerodynamic torque, wind speed, and electromagnetic torque without using sensors is proposed in this paper. Unlike the previous methods, in this work, both the uncertainties and the disturbance are estimated, then estimations of the uncertainties and disturbance are transmitted to the Linear Quadratic Regular (LQR) controller for eliminating the influences of the uncertainties and disturbance; and tracking the optimal power point of WECS. It should be noted that the uncertainties in this work are time-varying and both uncertainties and disturbance do not need to satisfy the bounded constraints. The wind speed and aerodynamic torque are arbitrary and unnecessary to fulfil the low-varying constraint or r th time derivative bound. On the basis of Lyapunov methodology and sum-of-square technique (SOS), the main theorems are derived to design the polynomial disturbance observer. Finally, the simulation results are provided to demonstrate the effectiveness and merit of the proposed method.

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Section: B Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust MPPT Observer-Based Control System for Wind Energy Conversion System With Uncertainties and Disturbance

Ngo

et al. 2021

IEEE Access

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“…In Hassan et al, 23 a new hybrid H ∞ fuzzy logic controller is proposed and validated by implementing it to the Human Swing Leg (HSL) system to assure both robust stability and robust performance. In Das and Subudhi, 24 a Two-Degree-of-Freedom Internal Model Controller (TDFIMC) is designed to control the active power and reactive power by operating the wind energy conversion system. Furthermore, the active power and reactive power are controlled independently at unity power factor.…”

Section: Introductionmentioning

confidence: 99%

Robust two-degree of freedom H∞ control design for a twin rotor multi-input multi-output system with external disturbances and model uncertainties

Jagadeb

Subudhi

Naskar

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

Self Cite

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The control of twin rotor multi-input multi-output system is difficult as it is subjected to model uncertainties and external disturbances. Furthermore, there also exists a coupling between pitch and yaw positions, which makes the system more difficult to control them separately. Considering the above difficulties in twin rotor multi-input multi-output system control, [Formula: see text] robust controller is designed to handle the model uncertainties and external disturbances with two-degree-of-freedom. A mixed sensitivity approach is employed to represent the uncertainties and external disturbances arise in the twin rotor multi-input multi-output system. For performance analysis, first the proposed two-degree-of-freedom [Formula: see text] controller is compared with the ‘Linear Quadratic Regulator-Linear Matrix Inequality’–based robust proportional–integral–derivative controller and Internal Model Control–based proportional–integral–derivative controller in MATLAB/Simulation and then in experimentation. From the obtained results, it is confirmed that the proposed controller exhibits enhanced robustness, faster tracking performance and accurate disturbance attenuation, when compared with Linear Quadratic Regulator-Linear Matrix Inequality–based robust proportional–integral–derivative controller and Internal Model Control–based proportional–integral–derivative controller in face of external disturbances and uncertainties.

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Grey Wolf Optimization Based Active Disturbance Rejection Control Parameter Tuning for Ship Course

Ren

Chen

Yang

et al. 2022

Int. J. Control Autom. Syst.

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A Two-Degree-of-Freedom Internal Model-Based Active Disturbance Rejection Controller for a Wind Energy Conversion System

Cited by 23 publications

References 33 publications

Robust MPPT Observer-Based Control System for Wind Energy Conversion System With Uncertainties and Disturbance

Robust MPPT Observer-Based Control System for Wind Energy Conversion System With Uncertainties and Disturbance

Robust two-degree of freedom H∞ control design for a twin rotor multi-input multi-output system with external disturbances and model uncertainties

Grey Wolf Optimization Based Active Disturbance Rejection Control Parameter Tuning for Ship Course

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