Predictive control of a chaotic permanent magnet synchronous generator in a wind turbine system

Messadi, Manal; Mellit, A.; Kemih, Karim; Ghanes, Malek

doi:10.1088/1674-1056/24/1/010502

Cited by 23 publications

(9 citation statements)

References 32 publications

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“…Compared with [20][21][22][23][24][25][26][27][28][29][30][31][32][33], there are three advantages. Firstly, output feedback is considered in this paper.…”

Section: Remarkmentioning

confidence: 99%

“…From this point of view, considerable amount of attention has been paid to the problem of stabilization and control of time-delay systems. Predictive control is a good method with the ability to handle constraints and time-delays [19][20][21][22][23]. Now, it has become one of the most popular control methodologies no matter in theory or the reality (see [24][25][26][27]).…”

Section: Introductionmentioning

confidence: 99%

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Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay

Zhao

2018

Journal of Control Science and Engineering

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A path tracking controller is designed for an autonomous underwater vehicle (AUV) with input delay based on neural network (NN) predictive control algorithm. To compensate for the time-delay in control system and realize the purpose of path tracking, a predictive control algorithm is proposed. An NN is used to estimate the nonlinear uncertainty of AUV induced by hydrodynamic coefficients and the coupling of the surge, sway, and yaw angular velocity. By Lyapunov theorem, stability analysis is also given. Simulation results show the effectiveness of the proposed control strategy.

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“…Compared with [20][21][22][23][24][25][26][27][28][29][30][31][32][33], there are three advantages. Firstly, output feedback is considered in this paper.…”

Section: Remarkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay

Zhao

2018

Journal of Control Science and Engineering

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“…The permanent magnet synchronous generator (PMSG) is a non‐linear, multivariable coupled system, and its performance is sensitive to load disturbances, friction force, and variations of its parameters when the motor shaft is directly coupled with an external load [13]. With the exhaustion of non‐renewable sources of energy such as fossil fuels, the research fraternity is on a constant lookout for renewable sources of energy that can sustain.…”

Section: Introductionmentioning

confidence: 99%

“…Owing to the numerous advantages of the PMSG, such as low manufacturing cost, high speed, robustness, compact structure, high efficiency, high torque to inertia ratio, and high power density, etc. [13], it is a popular generator used by the wind turbine to generate electrical energy. Two cases where the compactness and efficiency of performance of PMSG are significantly required are electric vehicle drives [14], where very high torque densities are required; and wind turbine generators or PMSG [15].…”

Section: Introductionmentioning

confidence: 99%

Dynamics of the fractional‐order chaotic PMSG, its stabilisation using predictive control and circuit validation

Borah

Roy

2017

IET Electric Power Applications

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This work focuses on two prime objectives. The first is to detect chaos in the fractional-order model of a permanent magnet synchronous generator (PMSG) and the second is to suppress chaos using a novel predictive control scheme in the fractional order sense. The main contributions of the work, therefore, lie in discovering the minimum commensurate order for which chaos exists in the fractional-order PMSG (FOPMSG), studying its dynamical behaviour ranging from Hopf bifurcation to stability analysis and the proposal of a single-state predictive controller to stabilise the chaotic FOPMSG in both commensurate as well as incommensurate orders. The proposal of predictive controller for controlling chaos in a fractional-order variable-speed drive is a novel attempt. Lower control effort, effectiveness, simplicity in design and application, convenience in inclusion of non-linearity, etc. highlight the promising potential of the proposed predictive control scheme. Circuit implementation results which are in good qualitative agreement with that of simulated results, confirm that the work attains the objectives successfully.

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“…Previous studies have shown that the chaotic movement of PMSM will produce irregular oscillations of torque and speed, exacerbate current noise, and worsen operation performance and may even damage the entire drive system. Therefore, research on PMSM chaos phenomenon has attracted extensive attention worldwide [2][3][4][5], and further studying on the control method of PMSM chaos is of extreme significance [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Robust Backstepping Control of Permanent Magnet Synchronous Motor Chaotic System with Fully Unknown Parameters and External Disturbances

Guo

2016

Mathematical Problems in Engineering

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The chaotic behavior of permanent magnet synchronous motor is directly related to the parameters of chaotic system. The parameters of permanent magnet synchronous motor chaotic system are frequently unknown. Hence, chaotic control of permanent magnet synchronous motor with unknown parameters is of great significance. In order to make the subject more general and feasible, an adaptive robust backstepping control algorithm is proposed to address the issues of fully unknown parameters estimation and external disturbances inhibition on the basis of associating backstepping control with adaptive control. Firstly, the mathematical model of permanent magnet synchronous motor chaotic system with fully unknown parameters is constructed, and the external disturbances are introduced into the model. Secondly, an adaptive robust backstepping control technology is employed to design controller. In contrast with traditional backstepping control, the proposed controller is more concise in structure and avoids many restricted problems. The stability of the control approach is proved by Lyapunov stability theory. Finally, the effectiveness and correctness of the presented algorithm are verified through multiple simulation experiments, and the results show that the proposed scheme enables making permanent magnet synchronous motor operate away from chaotic state rapidly and ensures the tracking errors to converge to a small neighborhood within the origin rapidly under the full parameters uncertainties and external disturbances.

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Predictive control of a chaotic permanent magnet synchronous generator in a wind turbine system

Cited by 23 publications

References 32 publications

Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay

Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay

Dynamics of the fractional‐order chaotic PMSG, its stabilisation using predictive control and circuit validation

Adaptive Robust Backstepping Control of Permanent Magnet Synchronous Motor Chaotic System with Fully Unknown Parameters and External Disturbances

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