Disturbance Observer Based Fuzzy Sliding Mode Control of PV Grid Connected Inverter

Zhu, Yunkai; Fei, Juntao

doi:10.1109/access.2018.2825678

Cited by 91 publications

(53 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where, parameters D, M and  will be unknown [1][2][3][4][5][6]. The proposed enhanced NN to estimate and adjust them by: 22) is written as follows: is an approximate error of weight vector.…”

Section: Adaptive Neuro-fuzzy Networkmentioning

confidence: 99%

“…Consequently, superior estimate and a better dynamic ability will be achieved. In [5], a controller based on fuzzy theory and sliding mode approach has been suggested for a single-phase Photovoltaics grid-connected inverter. In this sense, it is worth mentioning that there are some uncertainties which have been the result of the inverter section variables and also some modifies in the climatic environment.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Dynamic modeling and adaptive controlling in GPS-intelligent buoy (GIB) systems based on neural-fuzzy networks

et al. 2020

View full text Add to dashboard Cite

Recently, various relations and criteria have been presented to establish a proper relationship between control systems and control Global Positioning System (GPS)-intelligent buoy system. Given the importance of controlling the position of buoys and the construction of intelligent systems, in this paper, dynamic system modeling is applied to position marine buoys through the improved neural network with a backstepping technique. This study aims at developing a novel controller based on adaptive fuzzy neural network to optimally track the dynamically positioned vehicle on water with unavailable velocities and unidentified control parameters. In order to model the network with the proposed technique, uncertainties and the unwanted disturbances are studied in the neural network. The presented study aims at developing a neural controlling which applies the vectorial back-stepping technique to the surface ships, which have been dynamically positioned with undetermined disturbances and ambivalences. Moreover, the objective function is to minimize the output error for the neural network (NN) based on closed-loop system. The most important feature of the proposed model for the positioning buoys is its independence from comparative knowledge or information on the dynamics and the unwanted disturbances of ships.The numerical and obtained consequences demonstrate that the controller system can adjust the routes and the position of the buoys to the desired objective with relatively few position errors.

show abstract

Section: Adaptive Neuro-fuzzy Networkmentioning

confidence: 99%

mentioning

confidence: 99%

Dynamic modeling and adaptive controlling in GPS-intelligent buoy (GIB) systems based on neural-fuzzy networks

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Similarly, let b v in ¼ 0, then the relation between the "small signals" of output voltage and the duty cycle can be obtained by (6), which reflects the relation between v o and d 14 when v in is a constant.…”

Section: Figure 4 Topology Of Cdsm-mmc Based Grid-connection Stationmentioning

confidence: 99%

“…The maximum power point tracking (MPPT) control is widely used in renewable‐energy generations . For the photovoltaic (PV) generation, despite the nonlinear output current‐voltage characteristic, the MPPT can be realized by adopting controllers, such as fuzzy controllers, to make full use of solar energy and improve the robustness and adaptability of control systems …”

Section: Introductionmentioning

confidence: 99%

“…5 For the photovoltaic (PV) generation, despite the nonlinear output current-voltage characteristic, the MPPT can be realized by adopting controllers, such as fuzzy controllers, to make full use of solar energy and improve the robustness and adaptability of control systems. 6 Besides, the response time and effectiveness of the MPPT control not only restraint each other but also are influenced by the scale of the PV generation. 7 According to different scales of PV generations, the configuration of PV stations mainly includes the centralized type and string type, as illustrated in Figures 1A,B, respectively.…”

mentioning

confidence: 99%

See 1 more Smart Citation

DC‐type grid‐connection system of PV generation and its control schemes

Dai

Zhu

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Compared with the AC‐type photovoltaic (PV) grid‐connection system, its DC counterpart has characteristics like simpler control mode, less power loss, and higher PV utilization. However, there are few researches that gave clearly the topology and control strategies of the DC‐type integration system of PV generation, especially systems with the multimodule boost full bridge isolation converter (BFBIC). In this paper, taking a pilot project as an example, the topology and control strategies of the DC‐type grid‐connection system are given. Models of the PV cell, the BFBIC, and the clamp double submodule (CDSM)‐based modular multilevel converter (MMC) are presented first. Then, the output voltage and power of PV are analyzed and compared. Suggestions on the application of the control strategy are given finally.

show abstract

Finite‐time adaptive fault‐tolerant control for rigid spacecraft attitude tracking

Gao

Jing

Liu

et al. 2020

Asian Journal of Control

View full text Add to dashboard Cite

This paper provides a new solution for the finite‐time attitude maneuvers of rigid spacecraft. Uncertainties involving unknown inertial parameters, external disturbances and actuator failures are taken into account. With an effort to achieve attitude tracking despite the impact of uncertainties, a non‐singular terminal sliding mode (NTSM) manifold consisting of attitude errors and angular velocity errors is first constructed. After that, a simple but efficient adaptive updating law is derived to estimate the upper bound of the lumped unknown function in the derivative of sliding surface. Combining NTSM technology and pure adaptive control, a chattering‐free fault‐tolerant controller is presented. The premise assumptions on uncertainties in most of the existing achievements are eliminated, which makes the controller less constrained and more practical. The rigorous proof of finite‐time stability is provided and the convergent regions of tracking errors are explicitly expressed. Finally, numerical simulation is conducted to verify the effectiveness of the proposed control scheme and the comparison experiments with relevant literature demonstrate the satisfactory performances.

show abstract

Disturbance Observer Based Fuzzy Sliding Mode Control of PV Grid Connected Inverter

Cited by 91 publications

References 26 publications

Dynamic modeling and adaptive controlling in GPS-intelligent buoy (GIB) systems based on neural-fuzzy networks

Dynamic modeling and adaptive controlling in GPS-intelligent buoy (GIB) systems based on neural-fuzzy networks

DC‐type grid‐connection system of PV generation and its control schemes

Finite‐time adaptive fault‐tolerant control for rigid spacecraft attitude tracking

Contact Info

Product

Resources

About