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Title:	LSA based optimization for low power energy harvesting system using piezoelectric vibration transducer
Authors:	Md. Mahidur Rahman Sarker (P74539)
Supervisor:	Ramizi Mohamed, Dr.
Keywords:	Piezoelectric devices
Issue Date:	30-Aug-2017
Description:	One of the most widely used in energy harvesting for micro-power applications is piezoelectric materials. The materials convert vibrational energy to electrical energy. To harvest the micro level energy from the vibration of machineries is now a greater concern to be researched. The energy extraction from the vibration is challenging and difficult due to uncertain behaviour of vibration and leakage of precession of micro energy harvester. This thesis aims to handle this challenge by investigating on a Finite Element Analysis (FEA) to determine the optimal cantilever beam of a rectangular shape piezoelectric energy harvester device and designing Piezoelectric Energy Harvesting System (PEHS) converter to enhance the output power in μW or mW levels. The motivation behind this research is to maximize the power behaviour by optimizing the cantilever beam's length 38mm, width 7mm and thickness 1.5mm. A simplified analytical model of a unimorph piezoelectric micro cantilever model is utilized using Matlab based Modified Particle Swarm Optimization (MPSO) algorithm to find the optimal geometric parameters. The optimized rectangular shape piezoelectric energy harvester micro cantilever produced a power of 1.33mW. The mechanical parameters of the optimized piezoelectric micro cantilever has been validated by FEA in COMSOL Multiphysics software. One of the most widely used energy harvesting techniques for micro-power applications is Piezoelectric Bending Generator (PBG). The power harvesting capability of the existing techniques such as passive-based, active-based and Synchronized Switch Harvesting on Inductor (SSHI) are very low. Therefore, this research proposed a new method of vibration-based piezoelectric energy harvesting system using a Lightning Search Algorithm (LSA) based on Proportional-Integral (PI) voltage controller. This technique eliminates the exhaustive conventional trial-and-error procedure for obtaining optimized parameter values of proportional gain (Kp), and integral gain (Ki) for PI voltage controllers. The generated values of Kp and Ki are executed in the PI voltage controller that have been developed through the LSA optimization technique. In this study, Mean Absolute Error (MAE) is used as an objective function to minimize the output error for the PEHS. The model for the PEHS is designed and analyzed using the LSA optimization technique. The LSA-based PI voltage controller of the PEHS produces a significant improvement in minimizing the output error of the converter. A regulated Pulse-Width Modulation (PWM) signal is to control the MOSFET switching mechanism, with the result of best response in terms of rise time and settling time under various load conditions. To solve the optimization objective problem of MAE, LSA was used. Simulation and experimental results of these techniques are compared with the results of the Particle Swarm Optimization (PSO) and Backtracking Search Algorithm (BSA) to validate the outcomes. The obtained results clearly showed that the LSA-PI controller outperformed the PSO-PI controller in terms of rise time and settling time. Finally, the results are regulated at output 7V DC from an input range of 150mV~250mV AC at 30Hz through a closed-loop using a LSA-PI voltage controller.,Certification of Master's/Doctoral Thesis" is not available
Pages:	215
Call Number:	TK7872.P54S347 2017 3 tesis
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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