Efficiency and robustness of type-2 fractional fuzzy PID design using salps swarm algorithm for a wind turbine control under uncertainty

Oussama, Maroufi; Choucha, Abdelghani; Chaib, Lakhdar

doi:10.1016/j.isatra.2021.06.016

Cited by 13 publications

(4 citation statements)

References 26 publications

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“…The fundamental principle underlying IT2FLS is centered on the modeling and control of ambiguity by employing interval type-2 fuzzy sets. In conventional fuzzy logic systems, the degree of membership for an element within a fuzzy set is indicated by a single point within the membership function of the set [111]. The IT2FLS is more widely favored than the IT1FS because of its capacity to produce resilient performance and effectively manage uncertainties.…”

Section: It2fls Theorymentioning

confidence: 99%

Design of a novel intelligent adaptive fractional-order proportional-integral-derivative controller for mitigation of seismic vibrations of a building equipped with an active tuned mass damper

Jafarzadeh,

Sabetahd,

Mousavi Ghasemi

et al. 2024

Smart Mater. Struct.

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The primary objective of this study is to introduce a novel adaptive fractional order proportional–integral–derivative (FOPID) controller. The adaptive FOPID controller’s parameters are dynamically adjusted in real-time using five distinct multilayer perceptron neural networks. The extended Kalman filter (EKF) is employed to facilitate the parameter-tuning process. A multilayer perceptron neural network, trained using the error Backpropagation algorithm, is employed to identify the structural system and estimate the plant. The real-time estimated Jacobian is applied to the controller to control the model. The stability and robustness of the adaptive interval type-2 fuzzy neural networks controller are enhanced by utilizing the EKF and the feedback error learning strategy for compensator tuning. This improvement increases resilience against estimation errors, seismic disturbances, and unknown nonlinear functions. The primary objective is to address the challenges posed by maximum displacement, acceleration, and drift, as well as the uncertainties arising from variations in stiffness and mass. In order to validate the reliability of the proposed controller, the performance investigation is carried out on an 11-story building equipped with an active tuned mass damper under far and near-field earthquakes. Numerical findings show the remarkable effectiveness of the proposed controllers compared to their predecessors. In addition, it is revealed that the inclusion of the adaptive interval type-2 fuzzy neural networks compensator has increased the performance of the proposed controller and shows significant capabilities in reducing the seismic responses of structures during severe earthquake events.

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Section: It2fls Theorymentioning

confidence: 99%

Design of a novel intelligent adaptive fractional-order proportional-integral-derivative controller for mitigation of seismic vibrations of a building equipped with an active tuned mass damper

Jafarzadeh,

Sabetahd,

Mousavi Ghasemi

et al. 2024

Smart Mater. Struct.

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“…The SSA is a bio-inspired optimization technique specifically tailored for engineering design challenges. It draws its inspiration from the swarming behavior observed in salps as they navigate and feed in aquatic environments [30]. The groundbreaking introduction of this algorithm was pioneered by Mirjalili et al in their seminal work [27].…”

Section: Ssa Algorithmmentioning

confidence: 99%

Optimized Fixed-Time Synergetic Controller via a modified Salp Swarm Algorithm for Acute and Chronic HBV Transmission System

Achour,

Mokhtari,

Rahmoune

et al. 2023

mendel

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In this paper, we propose a Salp Swarm Algorithm (SSA) Optimized Fixed-Time Synergetic Control (FTSC) strategy for the spread of hepatitis B infection. The utilization of the SSA optimization algorithm for optimizing the Synergetic Control (SC) fraction parameters presents a non-trivial challenge due to the restriction that only odd numbers can be used for the fractional power. Therefore, an enhanced and adapted version of the SSA algorithm is proposed to effectively address this specific scenario. Our strategic approach centers on the reduction of susceptible, acutely infected, and chronically infected individuals by employing control parameters like isolation, treatment, and vaccination. The objective is to drive these target state variables to their smallest values in a fixed-time, thereby effectively controlling the epidemic. We support our proposal with numerical simulations to demonstrate the feasibility and effectiveness of the control strategy. A comparison is conducted between FTSC and SC in scenarios with and without optimization. The results indicated that FTSC holds a distinct advantage, consistently demonstrating significant progress, with up to 30\% reduction in the total convergence time to zero, outperforming SC in each case.

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“…There are 7 fuzzy linguistic variables: negative big value (NB), negative medium value (NM), negative small value (NS), zero value (Z), positive small value (PS), positive medium value (PM), and positive big value (PB), as well as 49 rules in the rule base. The membership functions and fuzzy control rules of K p and K d are kept almost the same as for the conventional fuzzy PD controllers [37,38]. The fuzzy control rules of µ, r 1 and r 2 are designed according to the influence of them into the control system, which are tested repeatedly.…”

Section: Variables Of Fuzzy Algorithmmentioning

confidence: 99%

Fuzzy Fractional-Order PD Vibration Control of Uncertain Building Structures

Cheng

Lopes

et al. 2022

Fractal Fract

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A new control strategy is proposed to suppress earthquake-induced vibrations on uncertain building structures. The control strategy embeds fuzzy logic in a fractional-order (FO) proportional derivative (FOPD) controller. A new improved FO particle swarm optimization (IFOPSO) algorithm is derived to adjust the initial parameters of the FOPD controller. An original fuzzy logic-FOPD (FFOPD) controller is then designed by combining the advantages of the fuzzy logic and FOPD control, to deal with large displacements on structures under earthquake excitation. Simulation experiments are carried out on uncertain building structures subjected to the effects of different kinds of seismic signals, illustrating the validity and feasibility of the proposed method.

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Efficiency and robustness of type-2 fractional fuzzy PID design using salps swarm algorithm for a wind turbine control under uncertainty

Cited by 13 publications

References 26 publications

Design of a novel intelligent adaptive fractional-order proportional-integral-derivative controller for mitigation of seismic vibrations of a building equipped with an active tuned mass damper

Design of a novel intelligent adaptive fractional-order proportional-integral-derivative controller for mitigation of seismic vibrations of a building equipped with an active tuned mass damper

Optimized Fixed-Time Synergetic Controller via a modified Salp Swarm Algorithm for Acute and Chronic HBV Transmission System

Fuzzy Fractional-Order PD Vibration Control of Uncertain Building Structures

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