Robust Sliding Mode Control of Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems

Zhuo, Guangping; Hostettler, Jacob; Gu, Patrick; Wang, Xin

doi:10.3390/su8121265

Cited by 13 publications

(14 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the Betz limit [38], the WT cannot harness all of the available wind energy. The amount of wind energy that is transferred into mechanical power is computed as in Equation (2) [39].…”

Section: A Wt Modelmentioning

confidence: 99%

Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

et al. 2021

View full text Add to dashboard Cite

The expanding trend of wind power technology motivates scholars to pursue more investigation on optimising energy extraction from the wind and integrating high-quality power into the utility grid. This paper is aimed at introducing a novel application of the sine cosine algorithm (SCA) which attempts to find the optimal gains of proportional-integral (PI) controllers used to control the power electronic converter (PEC) equipped with the Variable speed Wind turbine (VSWT) such that a maximum power extraction and performance enhancement can be realized. The PEC equipped with the VSWT combines a machine side converter (MSC) and a grid-side inverter (GSI). Both the MSC and GSI are controlled by the proposed SCA-based PI controllers through cascaded vector control schemes. The MSC is responsible for controlling the wind generator's rotational speed, active power, and reactive power. The GSI is used to regulate the dc-link voltage and to keep the terminal voltage at the desired frame set by the operator. To obtain the optimum PI gains, the SCA is applied to minimize the sum of the integral squared error (ISE) of twelve PI controllers error inputs in the control schemes simultaneously. Performances of the proposed SCA-PI control schemes are assessed under severe grid disturbance and random wind speed variation to mimic more realistic conditions. The effectiveness of the proposed SCA-PI is verified in the MATLAB/Simulink environment, and the results are compared to those obtained using a grey wolf optimizer and particle swarm algorithm-based optimal PI controller. The simulation findings confirm the SCA-PI can be regarded as an efficacious way to enhance the performance of the VSWT.INDEX TERMS Wind turbine control, power electronic converter, MPPT, PMSG, PI controller, sine cosine algorithm.

show abstract

Section: A Wt Modelmentioning

confidence: 99%

Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The implementation of this control method to the PMSG requires mainly three stages: J. Slotine proposed a general equation to determine the sliding surface [8].…”

Section: Sliding Mode Control Designmentioning

confidence: 99%

“…On the other hand, the state trajectory of the system is brought to a hypersurface called the sliding surface and from this surface it switches to the balance point. The major drawback of first order sliding modes is the appearance of the chattering phenomenon, which is characterized by torque fluctuations [5,8]. The main cause of this chatter has been identified as the presence of unmodeled parasitic dynamics in the high frequency switching device and additional torsional forces on the generator shaft.…”

Section: Introductionmentioning

confidence: 99%

Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

Moutchou¹,

Abbou²,

Rhaili³

2021

IJIES

View full text Add to dashboard Cite

This paper presents a modelling study and focuses on an advanced higher order slip mode control strategy (Super Twisting Algorithm) for a variable speed wind turbine based on a permanent magnet synchronous generator to capture the maximum possible wind power from the turbine while simultaneously reducing the effect of mechanical stress, powered by a voltage inverter and controlled by vector PWM technique. This paper presents first and second order sliding mode control schemes. On the other hand, a challenging matter of pure SMC of order one can be summed up in the produced chattering phenomenon. In this work, this issue has been mitigated by implementing a new control. The proposed control, characterized by a precision in the case of a continuation of a significant reduction of the interference phenomenon, successfully addresses the problems of essential non-linearity of wind turbine systems. This type of control strategy presents more advanced performances such as behaviour without chattering (no additional mechanical stress), excellent convergence time, robustness in relation to external disturbances (faults in the network) and to non-modelled dynamics (generator and turbine) which have been widely used in power system applications by first order sliding mode control. In particular, second-order sliding regime control algorithms will be applied to the PMSG to ensure excellent dynamic performance. The suggested control is compared to the proportional-integral controller and sliding mode control of order one. The results of simulations under turbulent wind speed and parameter variations show the efficiency, robustness and significantly improved performance of the proposed control approach to distinguish and track quickly (about 10ms depending on the shading pattern) and at the same time saving the main priorities of the sliding mode of order one by reducing the existing chatter. The systems performances were tested and compared using Matlab/Simulink Software.

show abstract

“…In the context of robust maximum power extraction from WECS, SMC having an exponential reaching law is proposed in [10], which reduces the adverse effects of the chattering across the switching manifold and improve the total harmonic distortion. Conventional SMC, with super-twisting control law, is proposed in [11], [12] to suppress the chattering phenomena while considering the availability of all the state variables. A feedforward neural networks-based global SMC is proposed in [13].…”

Section: Introductionmentioning

confidence: 99%

MPPT Control Paradigms for PMSG-WECS: A Synergistic Control Strategy With Gain-Scheduled Sliding Mode Observer

Khan

et al. 2021

IEEE Access

View full text Add to dashboard Cite

The wind energy conversion system (WECS) frequently operates under highly stochastic and unpredictable wind speed. Thus, the maximum power (MP) extraction, in such unpredictable scenarios, becomes a very appealing control objective. This paper focuses on the extraction of MP from a variablespeed WECS, which further drives a permanent magnet synchronous generator (PMSG). At the first stage, the dynamical model of PMSG is converted into Bronwsky form, which is comprised of both visible and internal dynamics. The first-order internal dynamics are proved stable, i.e., the system is in the minimum phase. The control of the second-order visible dynamics, to track a varying profile of the wind speed, is the main consideration. This job is accomplished via Backstepping-based robust Sliding Mode Control (SMC) strategy. Since the conventional SMC suffers from the inherited chattering issue, thus, the discontinuous control component in the SMC scheme is replaced with super-twisting and real-twisting control laws. In addition, the immeasurable states' information is estimated via gain-scheduled sliding mode observer. The overall closed-loop stability is ensured by analysing the quasi-linear form, which supports the separation principle. The theoretical claims are authenticated via simulation results, which are performed in Matlab/Simulink environment. Besides, a comparative analysis is carried out with the standard literature results, which quite obviously outshines the investigated control approaches in terms of varying wind profile tracking and the corresponding control input.INDEX TERMS Wind energy conversion system, Maximum power tracking, Sliding mode control strategy, Permanent magnet Synchronous generator.

show abstract

Robust Sliding Mode Control of Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems

Cited by 13 publications

References 29 publications

Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

MPPT Control Paradigms for PMSG-WECS: A Synergistic Control Strategy With Gain-Scheduled Sliding Mode Observer

Contact Info

Product

Resources

About