Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

Humaidi, Amjad J.; Najem, Huda T; Al-Dujaili, Ayad Q.; Pereira, Daniel A.; Ibraheem, Ibraheem Kasim; Azar, Ahmad Taher

doi:10.1177/0020294021997483

Cited by 40 publications

(10 citation statements)

References 49 publications

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“…This study could be extended in future work by conducting a comparison study between the proposed PSO algorithm and other optimization techniques such as the cuckoo optimization algorithm, social spider optimization, spider monkey optimization, the whale optimization algorithm, grey wolf optimization, the sine cosine algorithm, and the entropy method [37][38][39][40][41][42][43][44][45]. Another extension of this study could be to implement the proposed controller in a real-time environment, either using LabVIEW programming software or using other embedded hardware designs such as FPGA or Raspberry Pi [46].…”

Section: Discussionmentioning

confidence: 99%

Adaptive Synergetic Motion Control for Wearable Knee-Assistive System: A Rehabilitation of Disabled Patients

et al. 2022

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In this study, synergetic-based adaptive control design is developed for trajectory tracking control of joint position in knee-rehabilitation system. This system is often utilized for rehabilitation of patients with lower-limb disabilities. However, this knee-assistive system is subject to uncertainties when applied to different persons undertaking exercises. This is due to the different masses and inertias of different persons. In order to cope with these uncertainties, an adaptive scheme has been proposed. In this study, an adaptive synergetic control scheme is established, and control laws are developed to ensure stable knee exoskeleton system subjected to uncertainties in parameters. Based on Lyapunov stability analysis, the developed adaptive synergetic laws are used to estimate the potential uncertainties in the coefficients of the knee-assistive system. These developed control laws guarantee the stability of the knee rehabilitation system controlled by the adaptive synergetic controller. In this study, particle swarm optimization (PSO) algorithm is introduced to tune the design parameters of adaptive and non-adaptive synergetic controllers, in order to optimize their tracking performances by minimizing an error-cost function. Numerical simulations are conducted to show the effectiveness of the proposed synergetic controllers for tracking control of the exoskeleton knee system. The results show that compared to classical synergetic controllers, the adaptive synergetic controller can guarantee the boundedness of the estimated parameters and hence avoid drifting, which in turn ensures the stability of the controlled system in the presence of parameter uncertainties.

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Section: Discussionmentioning

confidence: 99%

Adaptive Synergetic Motion Control for Wearable Knee-Assistive System: A Rehabilitation of Disabled Patients

et al. 2022

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“…As a result, the SSO has been refined and applied in a variety of technical domains. The method assumes that the components all behave like common spiders, and that each possible solution is a single spider [39,40]. SSO was created to solve non-linear problems with constraints, as seen in the equation below:…”

Section: Social Spider Optimization (Sso)mentioning

confidence: 99%

Optimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum

Ghaleb

Oglah

Humaidi

et al. 2023

IRASE

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This paper compared the performance between Integer Order Fuzzy PID (IOFPID) and Fractional Order Fuzzy PID (FOFPID) controllers for inverted pendulum system as a controlling plant. The parameters of each controller were tuned with four evolutionary optimization algorithms (Social Spider Optimization (SSO), Swarm Optimization (PSO), Genetic Algorithm (GA), and Particle Ant Colony Optimization (ACO)). The comparisons were carried out between the two controllers IOFPID and FOFPID, as well as among the four optimization algorithms for the two controllers. The results of comparisons proved that the FOFPID controller with SSO has achieved the best time response characteristics and the least tuning time.

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“…where a random position vector 𝑋 ⃗⃗⃗ 𝑟𝑎𝑛𝑑 of a random whale is chosen from the current population. Other optimization techniques can be consulted and compared to WAO in the future work of this study (Humaidi et al, 2021;Al-Azza et al, 2015;Moezi et al, 2018;Mirjalili , 2016;Yue et al, 2020).…”

Section: The Search For a Prey (Exploration Phase)mentioning

confidence: 99%

Finite-Time Control of Wing-Rock Motion for Delta Wing Aircraft Based on Whale-Optimization Algorithm

Al-Qassar

Al-Obaidi

Hasan

et al. 2021

Indonesian J. Sci. Technol

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The rise of wing-rock motion in delta-wing aircraft has an adverse effect on the manoeuvrability of aircraft and it may result in its crash. This study presents a finite-time control design to tackle the dynamic motion due to the Wing-Rock effect in delta-wing aircraft. The control design is developed based on the methodology of Super Twisting Sliding Mode Control (STSMC). The Lyapunov stability analysis has been pursued to ensure asymptotic convergence of errors and to determine the finite time. The design of STSMC leads to the appearance of design parameters, which have a direct impact on the dynamic performance of the controlled system. To avoid the conventional tuning of these parameters and to have an optimal performance of the proposed controller, a modern optimization technique has been proposed based on Wale Optimization Algorithm. A comparison study between optimal and non-optimal finite-time super twisting sliding mode controllers has been established and their effectiveness has been verified via numerical simulation using MATLAB programming format.

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Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

Cited by 40 publications

References 49 publications

Adaptive Synergetic Motion Control for Wearable Knee-Assistive System: A Rehabilitation of Disabled Patients

Adaptive Synergetic Motion Control for Wearable Knee-Assistive System: A Rehabilitation of Disabled Patients

Optimum of fractional order fuzzy logic controller with several evolutionary optimization algorithms for inverted pendulum

Finite-Time Control of Wing-Rock Motion for Delta Wing Aircraft Based on Whale-Optimization Algorithm

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