Optimization of PIDD2-FLC for blood glucose level using particle swarm optimization with linearly decreasing weight

Jaradat, Mohammad A.; Sawaqed, Laith; Alzgool, Mohammad

doi:10.1016/j.bspc.2020.101922

Cited by 18 publications

(8 citation statements)

References 36 publications

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“…The latter type of controllers offers better dynamic response and faster convergence compared to PID controllers (Jaradat et al, 2020). The block diagram of a FOPID/PIDD 2 controllers-based system with unity feedback is illustrated in Figure 5.…”

Section: Controllersmentioning

confidence: 99%

Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems

İzci

Ekinci

Zeynelgil

et al. 2021

Transactions of the Institute of Measurement and Control

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This study deals with the controlling the speed of a direct current (DC) motor via a fractional order proportional–integral–derivative (FOPID) controller and maintaining the terminal voltage level of an automatic voltage regulator (AVR) via a proportional–integral–derivative plus second order derivative (PIDD2) controller. To adjust the parameters of those controllers, a novel improved slime mould algorithm (ISMA) is proposed. The latter is a novel metaheuristic algorithm developed in this work. The proposed algorithm aims to improve the original SMA in terms of exploration with the aid of a modified opposition-based learning scheme and in terms of exploitation with the aid of the Nelder–Mead simplex search method. A time domain objective function, which includes time response specifications of steady state error and maximum overshoot along with rise and settling times, is used as a performance index to design the FOPID controller-based DC motor system and PIDD2 controller-based AVR system. The performance of the proposed novel approaches for both systems are assessed through time and frequency domain simulations along with statistical tests which show the greater performance of the improved algorithm. Further to this, the efficacy of the proposed approaches for both systems is compared with other available and effective approaches in the literature. The extensive comparative results demonstrate the proposed method to be superior to those state-of-the-art approaches for both DC motor speed and AVR control systems.

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Section: Controllersmentioning

confidence: 99%

Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems

İzci

Ekinci

Zeynelgil

et al. 2021

Transactions of the Institute of Measurement and Control

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“…15 Internal view of "Magnetic Object Plant" subsystem Fig. 16 Step responses (including disturbance) of the nonlinear model and linearized model Ob-MRFONM/PIDD 2 controlled nonlinear and linearized models of the magnetic ball suspension system. The related figure also illustrates the response of the nonlinear and linearized systems to a disturbing signal (+25%) that is introduced between t 1s and t 1.2s.…”

Section: Nonlinear Response and Linearized Model Validationmentioning

confidence: 99%

“…The underlying advantage of a real PIDD 2 controller is that it can provide smoother and faster responses for higher order systems within acceptable limits of overshoot and settling time [11]. Therefore, the utilization of real PIDD 2 controllers can be encountered in different higher order systems such as multi-area thermal system [12], interconnected time-delayed power systems [13], automatic voltage regulator system [14], isolated microgrid system [15] and blood glucose level maintaining system [16]. Considering the abovementioned ability of the real PIDD 2 controller for higher order systems and its rising trend in employment of the applications as an effective control structure, it was utilized to achieve better stability in this study.…”

Section: Introductionmentioning

confidence: 99%

An Effective Controller Design Approach for Magnetic Levitation System Using Novel Improved Manta Ray Foraging Optimization

2021

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This paper demonstrates the development of a novel metaheuristic algorithm which has an enhanced diversification and intensification features and aims to construct an efficient mechanism via the developed algorithm to control a magnetic object suspension. Manta ray foraging optimization (MRFO) algorithm together with generalized opposition-based learning (GOBL) technique and Nelder-Mead (NM) simplex search method is used to define the general frame of the developed algorithm. The developed novel algorithm (Ob-MRFONM) employs the NM method for better intensification whereas integrates the GOBL technique for better diversification. The constructed Ob-MRFONM algorithm is confirmed to have enhanced capabilities via evaluations against well-known unimodal and multimodal benchmark functions. The developed algorithm is also utilized to reach optimum values of a real PID plus second-order derivative (PIDD 2 ) controller employed in a magnetic object suspension system to demonstrate the capability of the Ob-MRFONM algorithm for such a complex real-world engineering problem. It is worth noting that this paper is the first report in the literature that demonstrates the application of a real PIDD 2 controller in a magnetic object suspension system. To reach better capability, a new objective function is used for minimization. Then, the proposed approach is comparatively evaluated in terms of statistical and nonparametric statistical analysis, convergence, transient response, disturbance rejection, controller effort and effects of the noise signal. The demonstrated results also confirm the highly competitive capability of the proposed algorithm for the complex magnetic object suspension system. The nonlinear model of the system is also used in this study in order to validate the linearized model. KeywordsManta ray foraging optimization • Nelder-Mead method • Opposition-based learning • Real PIDD 2 controller • Magnetic ball suspension system • Nonlinear plant B Davut Izci

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“…The key aspects of the glucose controller can be itemized as follows [8] : (i ) the controller should minimize the taken dosage of insulin, (ii ) the controller should lower blood glucose level in the shortest possible time till its allowed range, and (iii ) because the diabetes model of every individual is exclusive by itself, the controller should have suitable performance for all diabetic patients. Nature-inspired optimization algorithms are effective tools to cope with this issue and have been a key research topic during the last years [9][10][11][12] .…”

Section: Introductionmentioning

confidence: 99%

Analytical stability analysis of the fractional-order particle swarm optimization algorithm

Pahnehkolaei

Alfi

Machado³

2022

Chaos, Solitons & Fractals

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Optimization of PIDD2-FLC for blood glucose level using particle swarm optimization with linearly decreasing weight

Cited by 18 publications

References 36 publications

Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems

Performance evaluation of a novel improved slime mould algorithm for direct current motor and automatic voltage regulator systems

An Effective Controller Design Approach for Magnetic Levitation System Using Novel Improved Manta Ray Foraging Optimization

Analytical stability analysis of the fractional-order particle swarm optimization algorithm

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