Abstract:
This thesis represents an investigative analysis on the closed-loop stability of the Cuk
converter and Zeta converter by implementing Bio-Inspired Algorithms (BIA) for
designing an optimized PID controller. The applicability and compatibility of four bioinspired algorithms such as Firefly Algorithm (FA), Particle Swarm Optimization (PSO),
Artificial Bee Colony (ABC), and Genetic Algorithm (GA) are analyzed in optimizing the
control mechanism of the power converters. The improvement of performance parameters
is observed and the outcomes are compared with the help of various fitness functions. The
thesis emphasizes two higher-order power converters (fourth-order) and the advantages of
higher-order converters lie in terms of further lowering ripple currents, simplifying
Electromagnetic Compatibility (EMC) filtering, and avoiding current spikes due to resistive
losses. The converters are designed through the State Space Averaging (SSA) technique for
providing a promising feedback control fashion and evaluating the transfer functions. BioInspired Algorithm (BIA) is an artificial intelligence-based optimization tool catering to
non-linear problems. The mentioned BIAs are based on swarm intelligence, functioning
according to the custom followed by swarm creatures. Swarm intelligence guarantees better
exploitation of data which concentrates the search method within the vicinities of optimal
solutions and simultaneously assists the procedure to escape from the confinement of the
local minima materializing successful exploration of the search space. Hence, the
algorithms are evaluated for better performances in the system through different fitness
functions (IAE, ITAE, ISE, and ITSE) and performance parameters like percentage of
overshoot, rise time, settling time, and peak amplitude. MATLAB is used to carry out the
simulations for both converters. After analyzing the performances for the case of the Cuk
converter, it is observed that the percentage of overshoot FA-PID (IAE) provides a lower
value than PSO-PID, GA-PID, and ABC-PID for each of the error functions. For rise time
and settling time, the values of ABC-PID (IAE) are better but overshoot is high. Then
comparing among the BIA-based PID controller for Zeta converter, we obtained that FAPID (ISE) is the most optimized controller where the value of overshoot is minimum.
Moreover, the rise time and settling time for the Zeta converter also have the lowest value
for FA-PID (ISE) than other optimized controllers. Hence, better optimization was
provided for both converters in this investigative study by the FA-based PID controller.
Description:
Supervised by
Dr. Md. Ashraful Hoque,
Professor,
Department of Electrical and Electronic Engineering,
Islamic University of Technology,
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Co-Supervisor,
Mr. Fahim Faisal,
Assistant Professor,
Department of Electrical and Electronic Engineering,
Islamic University of Technology
Co-Supervisor,
Mr. Mirza Muntasir Nishat,
Lecturer
Department of Electrical and Electronic Engineering,
Islamic University of Technology,
Board Bazar, Gazipur-1704. Bangladesh