Design of Robust PID Controller for Improving Voltage Response of a Cuk Converter

Kumar, V. Bharath; Charan, Godavarthi; Kumar, Y. V. Pavan

doi:10.1007/978-981-15-4692-1_24

Cited by 7 publications

(1 citation statement)

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“…Initially, default hyperparameters were used for training the models. Subsequently, hyperparameter optimization was conducted using the Random-Search CV algorithm to find the best combinations [68]. The resulting optimal hyperparameter configurations for each model can be found in Table 6.…”

Section: Comparative Analysismentioning

confidence: 99%

Implementation of Bio-inspired Algorithms in Designing Optimized PID controller for Cuk Converter for Enhanced Performance: A Software based Approach

Shagor,

Faisal,

Nishat

et al. 2023

EAI Endorsed Trans AI Robotics

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This paper represents the idea of implementing bio-inspired algorithms in designing an optimized PID controller to investigate the stability and improve the performance of the closed-loop CUK converter. Bio-inspired algorithms (BIA) such as Firefly Algorithm (FA), Particle Swarm Optimization (PSO) and, Artificial Bee Colony (ABC) are stochastic optimization techniques and have been increasingly applied to attain optimal solution for designing and optimizing power converters in current times. The closed-loop transfer function of the CUK converter has been developed by the State Space Average (SSA) technique. This paper assesses both the cases of converter stability when it is integrated with the conventional PID controller and the BIA-PID controllers (FA-PID, PSO-PID, ABC-PID) and eventually compares the outcomes from all the controllers. For examining the stability of the system, three objective functions (IAE, ITAE, and ISE) and various performance specifications such as percentage of overshoot, rise time, settling time, and peak amplitude are tabulated. MATLAB and Simulink are used to carry out the simulations meticulously. Hence, a comparative analysis is illustrated in this paper to state a clear-sighted evaluation of the performances.

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Section: Comparative Analysismentioning

confidence: 99%