Linear Parameter Varying Control of Doubly Fed Induction Machines

Tien, H. Nguyen; Scherer, Carsten W.; Scherpen, Jacquelien M. A.; Müller, V.

doi:10.1109/tie.2015.2465895

Cited by 19 publications

(2 citation statements)

References 24 publications

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“…The LPV framework has been long studied for modelling and control design purpose owing to its potential applications in a variety of disciplines such as automotive systems [2], IC manufacturing [3], energy sector [4], control of induction machines [5] and power electronic control of three‐phase inverters for microgrid frequency stabilisation [6]. Although time variation of the varying parameter is not known in advance, it is assumed to be measurable in real‐time.…”

Section: Introductionmentioning

confidence: 99%

Quasi‐LPV PI control of TRMS subject to actuator saturation

Goyal

Aggarwal

Ghosh

et al. 2020

IET Control Theory & Appl

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This study is concerned on the design of a quasi-linear parameter varying (qLPV) proportional-integral (PI) controller for twin rotor multiple-input multiple-output systems (TRMS). The non-linear model is represented as a qLPV polytopic plant with an affine dependence on a non-linear parametric function of the pitch angle. This representation retains the exact model as opposed to the conventional linearisation around an operating point. Due to the availability of the pitch angle measurement, the non-linear parameter can be obtained in real-time and the controller is designed using qLPV technique. To deal with limited control input for such systems, the proposed controller design also considers the actuator saturation that yields controller with practical gains without any additional gain bound criterion. Further, the transient tracking performance is also considered in the design by using closed-loop eigenvalues assignment in desired damping regions. The control synthesis problem is formulated in the form of linear matrix inequalities for ℒ 2 gain based performance criterion. The designed controller is validated on a twodegree of freedom helicopter experimental setup. Finally, to demonstrate the effectiveness of the proposed design, a comparative analysis is done with the existing algorithms. Also, the efficacy of the decentralised controller visa -vis the centralised one is presented.

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Section: Introductionmentioning

confidence: 99%

Quasi‐LPV PI control of TRMS subject to actuator saturation

Goyal

Aggarwal

Ghosh

et al. 2020

IET Control Theory & Appl

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“…Gain scheduled control of such Linear Parameter Varying (LPV) systems have lately gained attention owing to guaranteed stability as opposed to traditional gain schedule methods, as well as owing to LPV techniques ability to incorporate performance, robustness and bandwidth limitations in a unified framework. Jin et al (2015) and Tien et al (2016) presented a robust LPV to achieve robust stability and tracking performance against varying parameters and external disturbances. Similarly, Rotondo et al (2013) have worked on model identification and gain scheduled LPV-pole placement control technique with coupling considerations.…”

Section: Introductionmentioning

confidence: 99%

H∞Optimization-based robust decoupling control algorithm in linear parameter varying systems using Hadamard weighting

Jafar

Bhatti

Ahmad

et al. 2018

Transactions of the Institute of Measurement and Control

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This article proposes a novel gain scheduled control technique for a class of linear parameter varying (LPV) systems with main emphasis on reducing the cross coupling interaction in dynamics using the Hadamard weight. By employing the Hadamard and the conventional H ∞ performance weighting, an extended H ∞ closed loop norm LPV theorem is derived that involves traditional H ∞ weights for input output shaping control and Hadamard weight for decoupling control. Furthermore, a robust dynamic output feedback gain scheduled control law is designed to solve the control optimization problem in the proposed theorem using the linear matrix inequality (LMI) approach. It is shown that the proposed theorem is suitable for the multivariable control of multiple input multiple output (MIMO) coupled non-linear systems. In particular, in presence of cross coupled dynamics, external disturbances, changing operating conditions and time varying parameters. The effectiveness of the proposed technique is demonstrated in simulation as well as validated with experiments.

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Flying Transportation Technology

Hossain

2021

Global Sustainability in Energy, Building, Infrastructure, Transportation, and Water Technology

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Linear Parameter Varying Control of Doubly Fed Induction Machines

Cited by 19 publications

References 24 publications

Quasi‐LPV PI control of TRMS subject to actuator saturation

Quasi‐LPV PI control of TRMS subject to actuator saturation

H∞Optimization-based robust decoupling control algorithm in linear parameter varying systems using Hadamard weighting

Flying Transportation Technology

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