Fractional-Order PID Controller Design for Buck Converter System via Hybrid Lévy Flight Distribution and Simulated Annealing Algorithm

İzci, Davut; Ekinci, Serdar; Hekimoğlu, Baran

doi:10.1007/s13369-021-06383-z

Cited by 34 publications

(32 citation statements)

References 42 publications

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“…The introduced Lévy flight distribution and simulated annealing algorithm (LFDSA) [ 128 ] involves a balanced structure in both the phases of exploration and exploitation and proved excellent by testing on unimodal, multimodal benchmark functions and non-parametric statistical tests. This enhanced capability of the suggested algorithm helped to achieve optimum values of fractional-order proportional-integral derivative (FOPID) parameters for an improved closed-loop output voltage control performance of the buck converter in terms of time and frequency domain reaction as well as disturbance rejection.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems

Kumari

Kamboj

Bath

2022

Complex Intell. Syst.

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The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search space due to poor exploitation phase. This research work exhibits to discover the best solution for objective function by commingling slime mould algorithm and simulated annealing algorithm for better variation of parameters and named as hybridized slime mould algorithm–simulated annealing algorithm. The simulated annealing algorithm improves and accelerates the effectiveness of slime mould technique as well as assists to take off from the local optimum. To corroborate the worth and usefulness of the introduced strategy, nonconvex, nonlinear, and typical engineering design difficulties were analyzed for standard benchmarks and interdisciplinary engineering design concerns. The proposed technique version is used to evaluate six, five, five unimodal, multimodal and fixed-dimension benchmark functions, respectively, also including 11 kinds of interdisciplinary engineering design difficulties. The technique’s outcomes were compared to the results of other on-hand optimization methods, and the experimental results show that the suggested approach outperforms the other optimization techniques.

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Section: Literature Reviewmentioning

confidence: 99%

Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems

Kumari

Kamboj

Bath

2022

Complex Intell. Syst.

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“…For instance, by choosing λ � 1 and μ � 0, proportional integral (PI) regulator can be fgured out. Additionally, other ordinary regulators can be acknowledged by picking the suitable values of λ and μ. Te FOPID regulator improves the control execution as they give adaptability of control in the full control space instead of a point as on account of traditional PID regulator [33]. In this research work, the FOPID regulator is used as a frequency excursion controller.…”

Section: The Proposed Fractional-order Pid Controllermentioning

confidence: 99%

“…FOPID regulator is designed with the assistance of the XYZ optimization technique. Te structure of the proposed FOPID controller is shown in Figure 3 [33].…”

Section: The Proposed Fractional-order Pid Controllermentioning

confidence: 99%

A Novel Optimal Robust Design Method for Frequency Regulation of Three-Area Hybrid Power System Utilizing Honey Badger Algorithm

Khadanga

Nayak

Panda

et al. 2022

International Transactions on Electrical Energy Systems

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This study proposes an innovative technique for the load frequency control (LFC) of a three-area hybrid power system by putting into consideration of honey badger algorithm-based fractional order proportional integral derivative (FOPID) controller. The algorithm’s veritable use is attempted by arranging a FOPID controller for the hybrid system’s frequency regulation; the incredible potential of the proposed algorithm is proven. The proposed HBA-based FOPID regulator is presented by comparing its results with other current methods. It is seen that the said regulator is more viable for the frequency control contrasted with the regular regulator by considering a change in system parameters and different paces of RES penetration. It is also seen that the recommended controller is found to be more effective for load frequency control than the conventional controllers.

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“…Enhanced transient, robustness against load variations, uncertainties and noise were the most relevant results produced by the proposal. In [ 21 ], a general structure of fractional-order PID controller was suggested to regulate output voltage in a buck converter. Controller parameters were chosen in an optimization scheme that included disturbance rejection and robustness criteria that were maximized by combining Lévy flight distribution and simulated annealing algorithms.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Its Implementation Impact of Two-Modes Controller Fractional Approximation for Buck Converters

2022

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Additional degrees of freedom in a fractional-order control strategy for power electronic converters are well received despite the lack of reliable tuning methods. Despite artificial/swarm intelligence techniques have been used to adjust controller parameters to improve more than one characteristic/property at the same time, smart tuning not always leads to realizable structures or reachable parameter values. Thus, adjustment boundaries to ensure controller viability are needed. In this manuscript the fractional-order approach is described in terms of El-Khazali biquadratic module, which produces the lowest order approximation, instead of using a definition. A two-modes controller structure is synthesize depending on uncontrolled plant needs and parameters are adjusted through particle swarm and genetic optimization algorithms for comparison. Two error-based minimization criteria are used to consider output performance into the process. Two restrictions complement the optimization scheme, one seeks to ensure desired robustness while the other prevents from synthesizing a high-gain controller. Optimization results showed similarity between minima obtained and significant difference between parameters of those controller optimized without the proposed constraints was determined. Numerical and experimental results are provide to validate proposed approach effectiveness. Effective regulation, good tracking characteristic and robustness in the presence of load variations are the main results.

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Fractional-Order PID Controller Design for Buck Converter System via Hybrid Lévy Flight Distribution and Simulated Annealing Algorithm

Cited by 34 publications

References 42 publications

Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems

Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems

A Novel Optimal Robust Design Method for Frequency Regulation of Three-Area Hybrid Power System Utilizing Honey Badger Algorithm

Optimization and Its Implementation Impact of Two-Modes Controller Fractional Approximation for Buck Converters

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