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Journal articles on the topic 'ANFIS like-PID'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Berbek, Mohammed I., and Ahmed A. Oglah. "Adaptive neuro-fuzzy controller trained by genetic-particle swarm for active queue management in internet congestion." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 229–42. https://doi.org/10.11591/ijeecs.v26.i1.pp229-242.

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Routers are vital during network congestion. All routers have input and output packet buffers. Various congestion control strategies have been suggested. Some controller-based proportional-integral derivative (PIDs) have recently been offered as active queue management (AQM) solutions to alleviate the deterioration of transmission control protocol (TCP) congestion management system performance. However, the time delay is large, the data retention decreases, and oscillation occurs, suggesting that the present PIDcontroller is unable to fulfill quality of service (QoS) criteria. Some research is

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2

I. Berbek, Mohammed, and Ahmed A. Oglah. "Adaptive neuro-fuzzy controller trained by genetic-particle swarm for active queue management in internet congestion." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 229. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp229-242.

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Routers are vital during network congestion. All routers have input and output packet buffers. V<span lang="EN-US">Various congestion control strategies have been suggested. Some controller-based proportional-integral derivative (PIDs) have recently been offered as active queue management (AQM) solutions to alleviate the deterioration of transmission control protocol (TCP) congestion management system performance. However, the time delay is large, the data retention decreases, and oscillation occurs, suggesting that the present PID-controller is unable to fulfill quality of service (QoS)

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3

.., Nirmal Kumar, Manish Prateek, Neeta Singh, and Abhinav Saxena. "An Implicit Controlling of Adaptive Neuro Fuzzy Inference System Controller for The Grid Connected Wind Driven PMSG System." Fusion: Practice and Applications 12, no. 2 (2023): 193–205. http://dx.doi.org/10.54216/fpa.120216.

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The article presents the design and control of the adaptive neuro fuzzy Inference system (ANFIS) for the wind-driven permanent magnet synchronous generator (PMSG) in the grid connected system. The rectifier and inverter are connected with the PMSG output and the grid for maintaining the voltage at the grid under variable wind operations. Such interconnections have many challenges, like high harmonics at the output and an improper voltage profile. The harmonics are measured in terms of total harmonic distortion (THD). Performance parameters like peak overshoot and settling time of DC link volta

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4

Lutfy, O. F., Mohd S. B. Noor, M. H. Marhaban, and K. A. Abbas. "A genetically trained adaptive neuro-fuzzy inference system network utilized as a proportional-integral-derivative-like feedback controller for non-linear systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 223, no. 3 (2008): 309–21. http://dx.doi.org/10.1243/09596518jsce683.

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This paper presents a genetically trained PID (proportional-integral-derivative)-like ANFIS (adaptive neuro-fuzzy inference system) acting as a feedback controller to control non-linear systems. Three important issues are addressed in this paper, which are, first, the evaluation of the ANFIS as a PID-like controller; second, the utilization of the GA (genetic algorithm) alone to train the ANFIS controller, instead of the hybrid learning methods that are widely used in the literature; and, third, the determination of the input and output scaling factors for this controller by the GA. The GA, wi

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5

Reddy, K. M. N. Chaitanya kumar, and Dr N. Kanagasabai. "Performance Analysis of ANFIS-PID Controller based Speed Regulation and Harmonic Reduction in BLDC Motor Application." International Journal of Electrical and Electronics Research 12, no. 1 (2024): 187–94. http://dx.doi.org/10.37391/ijeer.120127.

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This study focuses on assessing the performance of a Proportional-Integral-Derivative (PID) controller integrated with an Adaptive Neuro-Fuzzy Inference System (ANFIS) in the context of speed regulation and harmonic reduction in Brushless DC (BLDC) motor applications. Rising BLDC motor speed elevates Total harmonic distortion (THD) due to non-linearity. THD reduction is vital for efficiency, reliability, and compliance in applications like electric vehicles, HVAC, and industrial automation, ensuring optimal performance and longevity. Through simulation-based design and implementation, the effe

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6

Sharma, Deepesh. "Automatic generation control of multi source interconnected power system using adaptive neuro-fuzzy inference system." International Journal of Engineering, Science and Technology 12, no. 3 (2020): 66–80. http://dx.doi.org/10.4314/ijest.v12i3.7.

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LFC (Load Frequency Control) difficulty is created by load of power system variations. Extreme acceptable frequency distinction is ±0.5 Hz which is extremely intolerable. Here, LFC is observed by PID controller (PID-C), Fuzzy and ANFIS controller (ANFIS-C). To control different errors like frequency and area control error (ACE) in spite of occurrences of load disturbance and uncertainties of system is checked by MATLAB/SIMULINK software. Proposed Controller offers less, and small peak undershoot, speedy response to make final steady state. LFC is mandatory for reliability of large interconnect

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7

Parmjit Singh, Prince Jindal and Simerpreet Singh. "An Improved Hybrid Fuzzy-PID Tunning With Particle Sawrm Optimization For Enhancing Induction Motor Performance." International Journal for Modern Trends in Science and Technology 7, no. 07 (2022): 66–71. http://dx.doi.org/10.46501/ijmtst051234.

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The fuzzy logic controllers are estimated as an appropriate controller because it is minimally complex method and did not involve any of the mathematical models. The major concern of this study is to control the fluctuations in speed of the induction motor through improving the conventional mechanism by utilizing the ANFIS paradigm as controller. Therefore a new mechanism is to be projected that will execute ANFIS. Because of the merits like Adaptive learning, Self-Organization, Real Time Operation, Fault Tolerance through Redundant Information Coding etc. The ANFIS algorithm is utilized as a

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8

Abdulla, Shwan. "Comparative Assessment of PID, Fuzzy Logic and ANFIS Controllers in an Automatic Voltage Regulator of A Power System." Jordan Journal of Electrical Engineering 8, no. 4 (2022): 379. http://dx.doi.org/10.5455/jjee.204-1664025424.

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A comparative study and performance analysis of three different controllers - namely proportional-integral-derivative (PID), PD-like fuzzy logic and adaptive neuro fuzzy inference system (ANFIS) - utilized to control the output voltage of an automatic voltage regulator (AVR) of a power system are carried out. The obtained results show that the PID controller is capable of rejecting simultaneous disturbance signals effectively with zero steady-state error (SSE). However, it is not robust to unexpected parameter changes of the system. On the other hand, the fuzzy logic controller shows the abili

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9

M. Venkatesh and G. Raja Rao. "Speed Control of DC Motor Using Intelligent Controllers." November 2020 6, no. 11 (2020): 157–64. http://dx.doi.org/10.46501/ijmtst061130.

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DC Motors are broadly utilized in mechanical applications, home appliances and robot controllers on account of their high unwavering quality, adaptability and low cost, where speed and position control of motor are required. The activity of a DC motor is performed by conventional controllers and intelligent controllers in MATLAB environment. The speed control of a dc motor utilizing conventional controllers (PID, IMC) and intelligent controllers (FLC, ANFIS) in view of MATLAB simulation program. A numerical model of the process has been created utilizing genuine plant information and afterward

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10

Kumar Saliganti. "Implementation of ANFIS-Based PID Controller in a Three-Phase Solar PV-Integrated UPQC for Power Quality Improvement." Journal of Information Systems Engineering and Management 10, no. 29s (2025): 229–46. https://doi.org/10.52783/jisem.v10i29s.4472.

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The incorporation of renewable energy sources into the grid presents challenges like reactive power compensation, harmonics, voltage sags, and swells, which impact power quality. This paper proposes a single-stage PV-linked Unified Power Quality Conditioner (PV-UPQC) for a three-phase grid-connected system to address these issues while optimizing PV energy utilization. The system employs Perturb and Observe (P&O) MPPT for maximum power extraction and an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based PID controller for dynamic inverter switching, ensuring precise tuning and adaptabilit

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11

Vivek, Nath, and K. Sambariya D. "Application of Intelligent controller For Load Frequency Control for Multi-Area Multi-Source Power System." Indian Journal of Science and Technology 16, no. 39 (2023): 3361–74. https://doi.org/10.17485/IJST/v16i39.1769.

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Abstract <strong>Objectives:</strong> This paper demonstrates the application of an artificial intelligence (AI) based controller for load frequency control for a two-area multi-source interconnected power system. Fuzzy PID controller parameters area Tuned using Artificial BEE colony (ABC) algorithm. The FLC-PID performance is simulated and verified using MATLAB. <strong>Method:</strong> For evaluating LFC Problem two different systems are considered. The first system consists of four units of the non-reheat thermal power system. The analysis is further extended by adding a hydr

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12

Patil, Ramakant S., Sharad P. Jadhav, and Machhindranath D. Patil. "Review of Intelligent and Nature-Inspired Algorithms-Based Methods for Tuning PID Controllers in Industrial Applications." Journal of Robotics and Control (JRC) 5, no. 2 (2024): 336–58. https://doi.org/10.18196/jrc.v5i2.20850.

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PID controllers can regulate and stabilize processes in response to changes and disturbances. This paper provides a comprehensive review of PID controller tuning methods for industrial applications, emphasizing intelligent and nature-inspired algorithms. Techniques such as Fuzzy Logic (FL), Artificial Neural Networks (ANN), and Adaptive Neuro Fuzzy Inference System (ANFIS) are explored. Additionally, nature-inspired algorithms, including evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Simulated

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13

Salmaninejad, Amir, and Rene V. Mayorga. "Sensor-less Brushed DC Motor Speed Control with Intelligent Controllers." WSEAS TRANSACTIONS ON SYSTEMS 20 (July 12, 2021): 140–48. http://dx.doi.org/10.37394/23202.2021.20.16.

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A Direct Current (DC) Motor is usually supposed to be operated at a desired speed even if the load on the shaft is exposed to changes. One of its applications is in automatic door controllers like elevator automatic door drivers. Initially, to achieve this aim, a closed loop control can be applied. The speed feedback is usually prepared by a sensor (encoder or tachometer) coupled to the motor shaft. Most of these sensors do not always perform well, especially in elevator systems, where high levels of noise, physical tensions of the mobile car, and maintenance technicians walking on the car, ma

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14

Swathi, Savitri, Bhaskaruni Suresh Kumar, and Jalla Upendar. "Comparative analysis and validation of advanced control modules for standalone renewable micro grid with droop controller." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 734–44. http://dx.doi.org/10.11591/eei.v13i2.5849.

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A micro grid system with renewable source operation control is a complex part as each source operates at different parameters. This renewable micro grid with multiple sources like solar plants, wind farm, fuel cell, battery backup has to be operated in both grid connected and standalone condition. During grid connection the micro grid, inverter has to inject power to the grid and compensate load in synchronization to the grid voltages. And during standalone condition the inverter is controlled with droop control module which stabilizes the voltage and frequency of the system even during grid d

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15

Manoharan, Neelamegam, Subhransu Sekhar Dash, Kurup Sathy Rajesh, and Sidhartha Panda. "Automatic Generation Control by Hybrid Invasive Weed Optimization and Pattern Search Tuned 2-DOF PID Controller." International Journal of Computers Communications & Control 12, no. 4 (2017): 533. http://dx.doi.org/10.15837/ijccc.2017.4.2751.

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A hybrid invasive weed optimization and pattern search (hIWO-PS) technique is proposed in this paper to design 2 degree of freedom proportionalintegral- derivative (2-DOF-PID) controllers for automatic generation control (AGC) of interconnected power systems. Firstly, the proposed approach is tested in an interconnected two-area thermal power system and the advantage of the proposed approach has been established by comparing the results with recently published methods like conventional Ziegler Nichols (ZN), differential evolution (DE), bacteria foraging optimization algorithm (BFOA), genetic a

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16

Surya, Prakash, and Kumar Sinha Sunil. "Performance Evaluation of Hybrid Intelligent Controllers in Load Frequency Control of Multi Area Interconnected Power Systems." May 26, 2013. https://doi.org/10.5281/zenodo.1078709.

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This paper deals with the application of artificial neural network (ANN) and fuzzy based Adaptive Neuro Fuzzy Inference System(ANFIS) approach to Load Frequency Control (LFC) of multi unequal area hydro-thermal interconnected power system. The proposed ANFIS controller combines the advantages of fuzzy controller as well as quick response and adaptability nature of ANN. Area-1 and area-2 consists of thermal reheat power plant whereas area-3 and area-4 consists of hydro power plant with electric governor. Performance evaluation is carried out by using intelligent controller like ANFIS, ANN and F

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17

"Performance Enhancement of a Single-Stage CUK Based Three Phase Photovoltaic Inverter using Anfis Controller." International Journal of Innovative Technology and Exploring Engineering 8, no. 11 (2019): 2682–88. http://dx.doi.org/10.35940/ijitee.k2139.0981119.

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A modular structured and high efficient photovoltaic (PV) system is essential in today’s scenario. The single stage Cuk based inverter has continuous input and output current, and hence, makes it suitable for applying MPPT techniques when used for PV applications. The PI, PID, and fuzzy controllers could be applied for PV inverter. The PI controller decreases the error in steady state, and at the same time, it also decreases the stability of the system. The PID controller involves large time delay process. The random nature in fuzzy controller may not lead to optimum results. Hence, this paper

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18

Bukata, B. B., and R. A. Gezawa. "CANFIS based DSTATCOM modelling for solving power quality problems." Journal of Advances in Science and Engineering 4, no. 2 (2021). http://dx.doi.org/10.37121/jase.v4i2.148.

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Devolution of the power grid into smart grid was necessitated by the proliferation of sensitive load profiles into the system, as well as incessant environmental challenges. These two factors culminated into aggravated disturbances that cause serious havoc along the entire system structure. The traditional proportional-plus-integral-plus-derivative (PID) solution offered by the distribution synchronous compensator (DSTATCOM) could no longer hold. As such, this paper proposes some soft-computing framework for redesigning DSTATCOM to automatically deal with power quality (PQ) problems in smart d

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19

Mazumdar, Debabrata, Pabitra Kumar Biswas, Chiranjit Sain, Furkan Ahmad, and Luluwah Al-Fagih. "A robust MPPT framework based on GWO-ANFIS controller for grid-tied EV charging stations." Scientific Reports 14, no. 1 (2024). https://doi.org/10.1038/s41598-024-81937-3.

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AbstractAs electric vehicles gain popularity, there has been a lot of interest in supporting their continued development with the aim of enhancing their dependability, environmental advantages, and charging efficiency. The scheduling of navigation and charging for electric vehicles is among the most well-known research topics. For optimal navigation and charging scheduling, the coupled network state between the transportation and power networks must be met; moreover, the scheduling outcomes might significantly impact these networks. To address climate challenges, relying only on fossil fuel-ba

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20

Savitri, Swathi, Suresh Kumar Bhaskaruni, and Upendar Jalla. "Comparative analysis and validation of advanced control modules for standalone renewable micro grid with droop controller." 13, no. 2 (2024). https://doi.org/10.11591/eei.v13i2.5849.

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Abstract:

A micro grid system with renewable source operation control is a complex part as each source operates at different parameters. This renewable micro grid with multiple sources like solar plants, wind farm, fuel cell, battery backup has to be operated in both grid connected and standalone condition. During grid connection the micro grid, inverter has to inject power to the grid and compensate load in synchronization to the grid voltages. And during standalone condition the inverter is controlled with droop control module which stabilizes the voltage and frequency of the system even during grid d

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21

Nemah, Mohammed Najeh, and Hashim H. Abada. "Dynamic Model Design and Controller Development of Lower Limb Prosthesis Through Matlab Simscape Multibody Toolbox." Journal of Advanced Research in Applied Sciences and Engineering Technology, October 10, 2024, 27–36. http://dx.doi.org/10.37934/araset.63.1.2736.

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Indeed, humans have achieved remarkable feats. Even so, some people lose parts of their bodies due to accidents, disease, or any other reason. Among them, lower limb amputation is the worst. Thus, prosthesis provides an appropriate solution to assist amputees in reintegration into society. Unfortunately, the user of several prostheses feels like a robot when using the prostheses with a traditional controller. Therefore, several efforts have been made to convey the amputee's brain instructions to the prosthesis using electromyography (EMG) sensors attached to the patient's residual muscles. Thi

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