Performance Comparison of ANFIS, FOPID-PSO and FOPID-Fuzzy Tuning Methodology for Optimizing Response of High-Performance Drilling Machine

Saxena, Arti; Dubey, Y.M.; Kumar, Manish; Saxena, Abneesh

doi:10.1080/03772063.2021.1933625

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…This contrasts with the conventional PID controller that consists of proportional (k p ), integral (k i ) and differential (k d parameters) [22]. Relative to traditional PID controllers, FOPID controllers boast benefits such as a decreased steady-state error, diminished oscillations and overshoot, enhanced response time, sturdiness against parameter alterations in the system under control, and resilience to perturbations.…”

Section: Anfis Based Fopid Active Damping Modified Controller (Anfis ...mentioning

confidence: 99%

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

Gupta,

Singh

2024

Eng. Res. Express

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In an electric vehicle (EV) charger system, a two-stage conversion process is integrated and cascaded with a voltage source converter (VSC) and a Dual active bridge converter (DAB). These impedances VSC outputs impedance (ZoutVSC(s)) and DAB have input impedance (ZinDAB(s)) interact, leading to voltage fluctuation and power loss. To address the cascaded converter's impedance interaction, the modified controller that combines an adaptive Neuro-fuzzy inference system (ANFIS) based fractional order proportional integral derivative (FOPID) controller is used with effective active damping (AD). The modified controller (ANFIS+FOPID+AD) uses ANFIS’s skills to capture and predict the system's nonlinear behaviour, using its trained data to guide the FOPID’s parameter. The presence of AD ensures the sorting out of impedance interaction problems. Compared to the PID controller, the FOPID controller includes two more degrees of freedom and offers superior adaptability and performance. The effectiveness of the modified controller is tested via frequency response analysis and time domain simulations. Time domain simulations underscore the advantage of the modified controller (ANFIS+FOPID+AD), revealing a remarkable 30% settling time and a 25% overshoot compared to the (FOPID+AD) controller. It is better regarding flexibility, faster response time, and improved system stability. The system performance has been validated and compared by simulation process and HIL technique OPAL RT OP44512.

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Section: Anfis Based Fopid Active Damping Modified Controller (Anfis ...mentioning

confidence: 99%

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

Gupta,

Singh

2024

Eng. Res. Express

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RETRACTED ARTICLE: ARX and ARMAX modelling of SBCNC-60 machine for surface roughness and MRR with optimization of system response using PSO

Saxena

Dubey²,

Kumar³

2023

J Comb Optim

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High-dimensional Multiple Fractional Order Controller for Automatic Generation Control and Automatic Voltage Regulation

Yin

Cao

Chen

2022

Int. J. Control Autom. Syst.

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Performance Comparison of ANFIS, FOPID-PSO and FOPID-Fuzzy Tuning Methodology for Optimizing Response of High-Performance Drilling Machine

Cited by 7 publications

References 32 publications

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

ANFIS-based FOPID controller to enhanced stability of cascaded converter for electric vehicle (EV) charger

RETRACTED ARTICLE: ARX and ARMAX modelling of SBCNC-60 machine for surface roughness and MRR with optimization of system response using PSO

High-dimensional Multiple Fractional Order Controller for Automatic Generation Control and Automatic Voltage Regulation

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