A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness

Goyal, Vishal; Mishra, Puneet; Shukla, Aasheesh; Deolia, Vinay Kumar; Varshney, Aarti

doi:10.2478/jee-2019-0002

Cited by 13 publications

(4 citation statements)

References 28 publications

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“…State feedback with a fractional integral approach is applied to the Quanser RFJ system, where J l ¼ 0 : 02552 kg m 2 , J eq ¼ 0 : 01625 kg m 2 , B eq ¼ 0 : 65407 kg=s, and B s ¼ 10 : 1227 N=m. 21 fractional integral operator in the frequency range 10 1 10 þ4 Â Ã with 10 cells. Step 2.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Fractional data-driven control for a rotary flexible joint system

Mehedi

Al‐Saggaf

Munawar

et al. 2021

International Journal of Advanced Robotic Systems

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As one of the most promising topics in complex control processes, data-driven techniques have been widely used in numerous industrial sectors and have developed over the past two decades. In addition, the fractional-order controller has become more attractive in applied studies. In this article, a fractional integral control is implemented for a rotary flexible joint system. Moreover, an adjusted virtual reference feedback tuning (VRFT) technique is used to tune the fractional-order integrator. In this method, fractional integral control is designed based on state feedback control. Then, VRFT is adjusted and applied to the fractional integral controller. The effectiveness of the proposed adjusted VRFT method is discussed and presented through simulation and experimental results. The tracking performance of the rotary arm and the minimization of the vibration tip is evaluated based on the proposed method. In this article, the comparison of our proposed VRFT fractional scheme is made with the classical state feedback as well as a recently developed state feedback-based fractional order integral (SF-FOI) controller. The current investigations determine the performance improvement of our proposed scheme of comparable structure to the recent SF-FOI, with the introduction of the VRFT to the SF-FOI scheme.

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Section: Simulation Resultsmentioning

confidence: 99%

“…The Quanser RFJ system 21 consists of a rigid arm connected with a flexible joint that rotates with the help of a DC motor. Figure 1 shows the main elements of the system.…”

Section: System Overviewmentioning

confidence: 99%

Fractional data-driven control for a rotary flexible joint system

Mehedi

Al‐Saggaf

Munawar

et al. 2021

International Journal of Advanced Robotic Systems

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“…In the early stage of authentication system, offline signature verification has been quite popular in several departments of academic and administration [17]. At that time, classical feature extraction methods have produced satisfactory results [18,15]. But for matching the recently raised issues, automated feature learning is incorporated with deep network architectures [6].…”

Section: Related Workmentioning

confidence: 99%

Short Words Signature Verification using Markov Chain and Fisher Linear Discriminant Approach

Nazir¹,

Choudhary²,

Ather³

et al. 2022

IJACSA

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Writer identification is the domain of documents image analysis which is popularly sound in many applications like banking, academic professional in Optical Character Recognition (OCR) Signature verification remains one of the most important entities to authenticate document in these applications. In view of technical breakthrough, we have focused on short words signatures which are very hard to verify as they raise issues of ambiguities. From the geometrical studies of signature-based images, it is stated that the morphology of directional transformations (MDT) is right to extract the suitable features in case of short words for writer identification. MDT takes the data in the form of Structure Element (SE). The directional morphological structures (DMS) of SE are used as a key factor for performing morphological operations on the signature images. We have adopted Markov chains and Fisher Linear Discriminant (FLD) for computing the gradients from line features corresponding to the word. Neural network is used to evaluate the proposed model. In case of training and testing of the signature, images of short words leave-one-out are followed. Our purposed model is tested on NIST database for extracting the words length with three letters. It is observed that a very simple architecture of neural network achieved 100% satisfactory results using short words.

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“…Over the past two decades, metaheuristic algorithms have been attracting significant attention. Theses algorithms along with their variants proved their efficacy to solve real-world complex problems [23]. Some of the eminent population-based optimization algorithms such as genetic algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO) were successfully applied to the parameter identification problem [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

Benmiloud

Arif

2019

Journal of Electrical Engineering

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Dynamic equivalent (DE) is an important process of multi-area interconnected power systems. It allows to perform stability assessment of a specific area (area of interest) at minimum cost. This study is intended to investigate the dynamic equivalent of two relatively large power systems. The fourth-order model of synchronous generators with a simplified excitation system is used as equivalent to the group of generators in the external system. To improve the accuracy of the estimated model, the identification is carried in two stages. First, using the global search Sine Cosine Algorithm (SCA) to find a starting set values, then this set is used as starting point for the fine-tuning made through the Pattern Search (PS) algorithm. To increase the reliability of the model’s parameters, two disturbances are used to avoid the identification based on a specific event. The developed program is applied on two standard power systems, namely, the New England (NE) system and the Northeast Power Coordinating Council (NPCC) system. Simulation results confirm the ability of the optimized model to preserve the main dynamic properties of the original system with accuracy.

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A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness

Cited by 13 publications

References 28 publications

Fractional data-driven control for a rotary flexible joint system

Fractional data-driven control for a rotary flexible joint system

Short Words Signature Verification using Markov Chain and Fisher Linear Discriminant Approach

A novel measurement-based procedure for dynamic equivalents of electric power systems for stability studies using improved sine cosine algorithm

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