Gain-Scheduled ${\cal H}_{\infty}$ Control for WECS via LMI Techniques and Parametrically Dependent Feedback Part II: Controller Design and Implementation

Muhando, Endusa Billy; Senjyu, Tomonobu; Uehara, Aki; Funabashi, Toshihisa

doi:10.1109/tie.2010.2045414

Cited by 69 publications

(41 citation statements)

References 16 publications

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“…By utilizing a norm reduction method, the H ∞ control design problem searches the gain matrix K[z] such that the H ∞ -norm conforms to Equation (16) for the closed-loop operator, from the external input variables and disturbances w to the output z. Hence, the H ∞ problem is to find the stabilizing controller K[z] that minimizes Equation (16) and internally stabilizes the closed-loop system subject to the structural constraints dictated by the control law specifications [15].…”

Section: Grid-side Invertermentioning

confidence: 99%

“…Therefore, taking into account of the power producing capacity of the modern WECS (2-5 MW), the high turbulence wind velocities, and the parameter uncertainties, the researchers have prompted to interest in the robust control concepts (e.g., H 2 or H ∞ controllers). In particular, the robust H ∞ controller formulation for the WECS is adopted in [3,[14][15][16][17], to improve the performance at the high turbulence wind velocities, or parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…In [3,14,15], the H ∞ control systems design for the DFIGs. The control performance evaluates in a few parameters within the rated wind speed and some short variations of the rated wind speed.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

et al. 2013

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A digital H ∞ controller for a permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) is presented. Wind energy is an uncertain fluctuating resource which requires a tight control management. So, it is still an exigent task for the control design engineers. The conventional proportional-integral (PI) control is not ideal during high turbulence wind velocities, and the nonlinear behavior of the power converters. These are raising interest towards the robust control concepts. The robust design is to find a controller, for a given system, such that the closed-loop system becomes robust that assurance high-integrity and fault tolerant control system, robust H ∞ control theory has befallen a standard design method of choice over the past two decades in industrial control applications. The robust H ∞ control theory is also gaining eminence in the WECS. Due to the implementation complexity for the continuous H ∞ controller, and availability of the high speedy micro-controllers, the design of a sample-data or a digital H ∞ controller is very important for the realistic implementation. But there isn't a single research to evaluate the performance of the digital H ∞ controller for the WECS. In this paper, the proposed digital H ∞ controller schemes comprise for the both generator and grid interactive power converters, and the control performances are compared with the conventional PI controller and the fuzzy controller. Simulation results confirm the efficacy of the proposed method Energies 2013, 6 2085 which are ensured the WECS stabilities, mitigate shaft stress, and improving the DC-link voltage and output power qualities.

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Section: Grid-side Invertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

et al. 2013

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“…In the last decade, GS control has received significant practical interest and research effort. Many mechatronic systems, such as overhead cranes [3], electromagnetic actuators [4], wind energy conversion systems [5], [6] and surgical teleoperation systems [7] do exhibit LPV dynamics. In addition, LPV models also result from linearizing nonlinear system dynamics around a given statetrajectory.…”

Section: Introductionmentioning

confidence: 99%

Gain-Scheduled Controller Design: Illustration on an Overhead Crane

Zavari

Pipeleers

Swevers

2014

IEEE Trans. Ind. Electron.

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Abstract-This paper extends a recently developed interpolation-based approach to design gain-scheduled controllers for linear parameter varying systems with a thorough evaluation, comprising both simulations and experiments, on an overhead crane system. In the first step of the approach, linear time-invariant controllers are designed for local working conditions of the system using a multi-objective H∞ method. With the help of this method, the fundamental trade-off between reference tracking and disturbance rejection in the overhead crane control problem is analyzed. In the second step, a statespace interpolation method is used to calculate a gain-scheduled controller. Although this approach does not guarantee stability and performance under parameter variations, experiments on the crane setup show that these variations do not compromise the performance of the obtained controller.

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“…However, the performance of these linear controllers is limited by the highly nonlinear characteristics of the wind turbine. Also, the gain scheduling control has been presented for compensating for the system nonlinearity, where the controller gains are continuously updated with the change of the system operating conditions [6]. However, a major drawback is the selection of the scheduling variable, to maintain the non-linearity of the system and to vary slowly.…”

Section: Introductionmentioning

confidence: 99%

Improved Pitch Angle Control for Variable-Speed Wind Turbine System

Van

Nguyen

Truong

et al. 2014

AETA 2013: Recent Advances in Electrical Engineering and Related Sciences

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Abstract. In this paper, a pitch angle control scheme based on the fuzzy logic is proposed for the variable-speed wind turbine systems. The generator output power and rotor speed are used as control input variables for the fuzzy logic controller (FLC), which are effective to compensate for the nonlinear characteristic of the pitch angle to the wind speed. Also, a speed sensorless technique estimating the rotational speed is employed for the proposed control method. The effectiveness of the proposed method is verified by MATLAB simulation results for a 2-MW PMSG wind turbine system.

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Gain-Scheduled ${\cal H}_{\infty}$ Control for WECS via LMI Techniques and Parametrically Dependent Feedback Part II: Controller Design and Implementation

Cited by 69 publications

References 16 publications

Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

Gain-Scheduled Controller Design: Illustration on an Overhead Crane

Improved Pitch Angle Control for Variable-Speed Wind Turbine System

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