Optimization of Fractional-Order PID Controller (FOPID) Using Cuckoo Search

Varshney, Tarun; Bhadoria, Vikas Singh; Sonwane, Pravin; Singh, Nitin

doi:10.1007/978-981-16-6332-1_53

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…𝐶 𝑐 (𝑠) = 𝑘 𝑝 + 𝑘 𝑖 𝑠 −𝜆 + 𝑠 𝜇 𝑘 𝑑 (14) The conventional frequency-domain method consists of three specifications, namely the crossover frequency gain (𝜔 𝑐 ), phase boundary (𝜑 𝑚 ), and phase slope at 𝜔 𝑐 . Where G(s) is the plant and C(s) is the controller.…”

Section: Fractional Order Pidmentioning

confidence: 99%

“…This method has the ability to perform a stochastic search in the solution space. Several variants of the metaheuristic algorithm applied to FOPID have been presented by several researchers such as: Cuckoo search [13], [14], Harris hawks optimization [15], grasshopper optimization algorithm [16], [17], Jaya optimization algorithm [18], Henry gas solubility [19], grey wolf optimization [20]- [22], and gradient-based optimization algorithm [23]. Improved control optimization by several methods provides better performance than classic controls.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal tuning fractional order PID based on marine predator algorithm for DC motor

Aribowo

Suprianto

Rahmadian

et al. 2023

IJPEDS

View full text Add to dashboard Cite

DC motors are a popular topic because they are widely applied in various electronic equipment. So, this requires a control that is fast and reliable. The development of optimized control methods is growing rapidly with the discovery of several new methods. Marine predator algorithm (MPA) is an optimization method based on marine life between living things. This article discusses the application of the MPA method for optimizing fractional order PID (FOPID) control on DC motors. The implementation of the FOPID controller is also difficult because the fractional calculus operators of the FOPID controller cannot be directly implemented in numerical calculations. The method proposed in this article is the FOPID-MPA method. To get a performance test of the proposed method, this study uses several comparison methods, namely the seagull optimization algorithm (ASO), chimp optimization algorithm (ChOA), and sine tree seed algorithm (STSA). This study also uses a variation of the reference speed to get the performance of the proposed method. From the experiment it is known that the FOPID-MPA method gives the best performance. The FOPID-MPA method has an overshoot value of 4.34% compared to the PID-MPA method in case study 1 and has an integrated of time-weighted-squared-error (ITSE) value of 7.44% better than the PID-MPA method in case study 2.

show abstract

Section: Fractional Order Pidmentioning

confidence: 99%