Whale-optimized fuzzy-fractional order controller-based automobile suspension model

Swethamarai, P.; Lakshmi, P.; Prassad, S. Gokul

doi:10.1080/0305215x.2021.1913735

Cited by 9 publications

(7 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the addition of fuzzy logic to optimize the FOPI has been proven to improve results for various types of systems. This is because it provides additional flexibility to the design, as demonstrated in numerous studies [10][11][12].…”

Section: Of 11mentioning

confidence: 99%

Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid

Noureddine,

Morsli,

Tayeb

2023

Preprint

View full text Add to dashboard Cite

Recently, new advanced techniques have been proposed to improve the quality of smart grids that use intermittent renewable energy sources. One of the most effective techniques is active filtering, which utilizes a power electronic converter in the smart load. This technique has the potential to enhance the power quality of the supply voltage by minimizing current harmonics, which is crucial. In this article, we propose a new command intelligence system based on Fuzzy PI fractional (fuzzy FOPI) and GA to control the harmonic currents generated by an active filter powered by a wind system.

show abstract

Section: Of 11mentioning

confidence: 99%

Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid

Noureddine,

Morsli,

Tayeb

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In view of this aspect, a Mamdani type fuzzy logic concept is combined with the FOPID controller in this work. Tis type of control approach is recently proposed in many works [53][54][55]. Te fuzzy-FOPID (FFOPID) controller could be a bunch of fuzzy-based rules connected in collection with PID control activity.…”

Section: Fuzzy Fopid Controller Designmentioning

confidence: 99%

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology

Abdulrazaq

Vural

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

Sparse matrix converter (SMC) is an indirect AC-to-AC power electronic converter that has a fictitious DC link between rectification and inversion stages in which neither a capacitor nor an inductor, as the storage element, is utilized. Due to this advantage, SMC is used in AC drives, marine thrust systems, aerospace industry, as well as in wind energy applications. On the other hand, permanent magnet synchronous generator (PMSG) is competitive in wind turbine applications due to their prominent features. In this work, a fuzzy fractional-order PID (FFOPID) controller is designed for a PMSG based wind energy conversion system (WECS) which employs a three-phase three-level SMC. The FFOPID controller is chosen to combine the salient features of the fractional-order calculus and fuzzy logic operations to enhance the dynamic response of classical PID controller with fixed gains. The simulation results taken under different case studies are analyzed in detail, which demonstrate the superiority of the designed FFOPID controller over classical PID control approach in tracking d- and q-axis current references of the SMC at the output. With the designed control approach, the smooth control of the real and reactive power injections into the grid from the WECS are ensured with acceptable transient response.

show abstract

“…To verify the performance and quality parameters of the various state-of-the-art MHs algorithms, they have been applied to multi-disciplinary engineering design and analysis problems (Kaveh & Zolghadr, 2014;Gonçalves et al, 2015), e.g., automobile design engineering (Gaur et al, 2020;Yildiz et al, 2020;Swethamarai et al, 2022), manufacturing engineering problems (Asghari et al, 2021;Gupta et al, 2021;Hu et al, 2021;Yıldız & Erda ş, 2021;Yildiz et al, 2021), and structural optimization (Tejani et al, 2016). The work was being explored in the domain of the development of chaotic and hybrid MHs algorithms.…”

Section: Introductionmentioning

confidence: 99%

A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems

Yıldız

Mehta

Panagant

et al. 2022

Journal of Computational Design and Engineering

View full text Add to dashboard Cite

This study proposes a novel hybrid metaheuristic optimization algorithm named Chaotic Runge Kutta (CRUN). Ten diverse chaotic maps are being incorporated with the base RUN algorithm to improve their performance. An imperative analysis was conducted to check CRUN's convergence proficiency, sustainability of critical constraints, and effectiveness. The proposed algorithm was tested on six well-known design engineering tasks, namely: gear train design, coupling with a bolted rim, pressure vessel design, Belleville spring, and vehicle brake-pedal optimization. The results demonstrate that CRUN is superior compared to state-of-the-art algorithms in the literature. So, in each case study, CRUN was superior to the rest of the algorithms and furnished the best-optimized parameters with the least deviation. In the present study, ten chaotic maps were enhanced with the base RUN algorithm. However, these chaotic maps improve the solution quality, prevent premature convergence, and yield the global optimized output. Accordingly, the proposed CRUN algorithm can also find superior aspects in various spectrums of managerial implications such as supply chain management, business models, fuzzy circuits, and management models.

show abstract

Whale-optimized fuzzy-fractional order controller-based automobile suspension model

Cited by 9 publications

References 34 publications

Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid

Optimzation Of Fuzzy PI-Fractional Using GA For Enhacement Of The Quality Energy In The Electrical Smart Grid

Fuzzy Fractional-Order PID Control for PMSG Based Wind Energy Conversion System with Sparse Matrix Converter Topology

A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems

Contact Info

Product

Resources

About