Predictive Modeling and Control of Clamp Load Loss in Bolted Joints Based on Fractional Calculus

Shah, Pritesh; Sekhar, Ravi

doi:10.1007/978-981-33-6977-1_2

Cited by 13 publications

(3 citation statements)

References 33 publications

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“…Fractional order PID (FOPID) controllers are a generalized version of the integer order PID (IOPID) controllers [76], [77]. The general FOPID controller is represented as:…”

Section: Fractional and Complex Order Pid Controllersmentioning

confidence: 99%

Design of an Optimal Fractional Complex Order PID Controller for Buck Converter

Warrier,

Shah

2023

Journal of Robotics and Control

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Dynamic and robust controllers are the inherent requirement of power electronic converters, which are subjected to dynamic variations and nonlinearities. The effectiveness of fractional order controllers in non-linear system control has been well-established by studies in the past few decades. Various forms of fractional order controllers have been used in power-electronic control. Recent research indicates that complex order controllers, extensions of fractional controllers, are more robust against uncertainties and non-linearities than their integer and fractional order counterparts. Though complex order controllers have been employed in various nonlinear plants, they have not been extensively tested on power electronic applications. Also, the design and tuning of the controller is difficult. This paper investigates the effectiveness of a complex order PID controller on a typical power electronic DC-DC buck converter for the first time. Two types of complex order controllers of the form PI^{a+ib}D^c and PI^{a+ib}D^{c+id} were designed for a power electronic buck converter. The complex order controllers were implemented in Simulink and the optimal tuning of the complex order controller parameters for various performance indices was performed using different optimization algorithms. The Cohort Intelligence algorithm was found to give the most optimal results. Both the complex controllers showed more robustness towards uncertainties than the linear and fractional PID controllers. The PI^{a+ib}D^c controller gave the smoothest and fastest response under non-linearities. The dynamic performance of the complex order controller is the best and can be expected to be useful for more power electronic applications.

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“…Fractional order PID (FOPID) controllers are a generalized version of the integer order PID (IOPID) controllers [76], [77]. The general FOPID controller is represented as:…”

Section: Fractional and Complex Order Pid Controllersmentioning

confidence: 99%

Design of an Optimal Fractional Complex Order PID Controller for Buck Converter

Warrier,

Shah

2023

Journal of Robotics and Control

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“…For instance, fractional calculus models have been found to be a useful tool for describing the mechanics of viscoelastic materials and anomalous particle transport in groundwater. Signal processing, control of dynamic systems, wave propagation, medicine, economics, and finance are some of the other applications of fractional calculus models [12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Numerical Solution of Fractional Integro-Differential Equations Via Fourth-Degree Hat Functions

Mohammed

Khudair

2023

ijcsm

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The goal of this paper is to construct new fourth-degree hat functions (FDHFs) and study their properties in order to develop a new numerical method for solving fractional integro-differential equations. The equation under consideration is transformed into a set of algebraic equations by using FDHFs, which makes it simple to solve the system using one of the iterative methods. In fact, this method’s advantage was that it was easy to use and had fifth-order convergence, as we showed in the section on error analysis. The numerical results demonstrate that the new technique works well through the presented examples.

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“…Researchers worldwide have contributed to and followed the technological advancements in this exciting new field. Extensive investigations have been carried out to incorporate automated architectures in diverse fields such as bolted joints [1], lean manufacturing [2], bio-fuelled engines [3], flexible robotic arms [4], Covid therapy robots [5], industrial DC motors [6], machining of exotic materials [7]- [18], ball nose end milling [19] and many more [20]- [34]. Many of these investigations included applications of various heuristic algorithms to attain optimal solutions to the automation/control problems [35]- [46].…”

Section: Introductionmentioning

confidence: 99%

Robotics in Industry 4.0: A Bibliometric Analysis (2011-2022)

Sekhar

Shah²,

Iswanto

2022

Journal of Robotics and Control

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Robotics forms an integral part of industry 4.0, the industrial revolution of the 21st century. This paper presents a bibliometric analysis of Web of Science (WoS) indexed publications addressing this emerging field from 2011 till June 2022. WoS research publications were firstly analysed along multiple verticals such as annual counts, types, publishing sources, research directions, researchers, organizations, and countries. Next, co-authorship collaborations among authors, organizations, and countries were discovered. This was followed by an analysis of co-occurring keywords related to robotics in industry 4.0. Finally, a detailed citation analysis was carried out to unearth citation linkages among authors, institutions, documents, nations, and journals. Latest trends, under-investigated topics, and future directions are also discussed. Primary results indicate that more than 3000 articles are being published annually in this emerging field, with a total of 18,893 documents published in WoS during the last decade. The 'IEEE Access', Chinese Academy of Science, Wang Y. (USA), and the USA emerged as the topmost productive journal, institution, author, and nation. Porpiglia Francesco (Italy), Chinese Academy Science and USA obtained the highest co-authorship total link strength (TLS); whereas Lee Chengkuo (Singapore), China, Chinese Academy Science, and the IEEE Access scored the highest citation TLS among authors, countries, organizations, and sources respectively. Machine learning (ML) emerged as the highest co-occurring keyword, followed by artificial intelligence (AI). Computer Science emerged as the most trending research domain, followed by general applications. In the future, ML and AI will advance more sophisticated robots in industry 4.0 systems.

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Predictive Modeling and Control of Clamp Load Loss in Bolted Joints Based on Fractional Calculus

Cited by 13 publications

References 33 publications

Design of an Optimal Fractional Complex Order PID Controller for Buck Converter

Design of an Optimal Fractional Complex Order PID Controller for Buck Converter

Numerical Solution of Fractional Integro-Differential Equations Via Fourth-Degree Hat Functions

Robotics in Industry 4.0: A Bibliometric Analysis (2011-2022)

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