Experimental Validation of Modified Adaptive Fuzzy Control for Power Quality Improvement

Hou, Shixi; Chen, Chen; Chu, Yundi; Fei, Juntao

doi:10.1109/access.2020.2994623

Cited by 7 publications

(4 citation statements)

References 36 publications

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“…Furthermore, an adaptive fuzzy method with a supervisory compensator for a three-phase APF is described in detail in [95]; more specifically, the authors use a Sugeno FLC, an adaptive law and supervisory controller, to reduce the THD from 24.71% to 1.72%. The efficacy assessment was performed using both simulations and experiments from [73,76,96,123]. The researchers in [73] used a hybrid FCS that contained a Takagi-Sugeno type-1 fuzzy controller to automatically switch between a PI and fractional-order PI controller.…”

Section: Discussionmentioning

confidence: 99%

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Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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Fuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement. Despite this, an updated and comprehensive literature review on the applications of fuzzy logic in the domain of power quality control has been lacking. To address this gap, this study critically examines published research on the effective and efficient use of fuzzy logic in resolving quality issues within power systems. Data sources included the Web of Science and academic journal databases, followed by an evaluation of target articles based on predefined criteria. The information was then classified into seven categories, including control system type, features of the fuzzy logic controller, fuzzy logic inference strategy, power quality issue, control device, implementation methodology (efficacy testing), and efficiency improvement. Our study revealed that fuzzy-based control systems have evolved from simple type-1 fuzzy controllers to advanced control systems (type-2 fuzzy and hybrid) capable of effectively addressing complex power quality issues. We believe that the insights gained from this study will be useful to both experienced and inexperienced researchers and industry engineers seeking to leverage fuzzy logic to enhance power quality control.

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Section: Discussionmentioning

confidence: 99%

“…This was clear, as the harmonic distortion factor decreased from 35.1% to 3.1%. The authors of [123] describe a modified adaptive FLC-more specifically, a Lyapunov-based fuzzy control. The authors compare the proposed controller with two methods from the literature through simulations.…”

Section: Discussionmentioning

confidence: 99%

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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“…The fuzzy control (FC) is the most famous application. The industrial applications since the appearance are the domestic appliances, process control, and automotive systems from the multiple other fields [36] shown in Figure 1.…”

Section: Algorithm and Modelmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

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“…However, in practical application, due to the interference of various external factors and limitations of the modeling model and parameters of the system, the precision of the position control of the valve-controlled cylinder is often difficult to meet the requirements [1,2]. Based on this, to achieve higher position control accuracy, relevant scholars have applied control methods, such as adaptive control, fuzzy control, variable structure control, and intelligent control algorithms, to valve-controlled cylinder position servo systems [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Research on High-Precision Position Control of Valve-Controlled Cylinders Based on Variable Structure Control

Gao,

Zhang,

Zheng

et al. 2023

Machines

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During the operation of valve-controlled cylinder position systems, there are some problems, such as uncertainty and time-varying of the system parameters, imprecise modeling, and external interference. These problems will affect the position loading accuracy and safety reliability of the electro-hydraulic position servo system. This paper used the position servo system of a valve-controlled cylinder as the research object, and a mathematical model was established. Then, a sliding mode variable structure controller and dynamic soft variable structure controller were designed, and the Grey Wolf algorithm was used to adjust the controller parameters. The control effect of the two controllers in the valve-controlled cylinder system was verified with a simulation and experiment. The results showed that compared with the sliding mode variable structure controller, the dynamic soft variable structure controller had higher control precision and better stability and avoided the chattering phenomenon.

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Experimental Validation of Modified Adaptive Fuzzy Control for Power Quality Improvement

Cited by 7 publications

References 36 publications

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Research on High-Precision Position Control of Valve-Controlled Cylinders Based on Variable Structure Control

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