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Publisher: Institute of Electrical and Electronics Engineers Inc.Subject: optimization

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    Citation - Scopus: 4
    Effect of Pso Tuned P, Pd, and Pid Controllers on the Stability of a Quadrotor
    (Institute of Electrical and Electronics Engineers Inc., 2019) Ustunkok,T.; Karakaya,M.
    Many popular quadrotor controllers are based on PID controllers. This study compares the behavior of a quadrotor when its controller is the proportional (P) only, proportional (P) and derivative (D), and all terms of the PID controller which is tuned by a Particle Swarm Optimization (PSO) implementation. A P, PD, and PID controller integrated quadrotor model is used with realistic parameters while conducting experiments in simulation. Our goal is to find out if it is worth to use PID or some of its terms is enough to get a stable system. According to the preliminary results of the experiments, the statistical difference of results shows that PID is better than both P and PD for the given model. © 2019 IEEE.
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    Optimization of modeling parameters of of a direct dimethyl ether fuel cell (DDMEFC)
    (Institute of Electrical and Electronics Engineers Inc., 2019) Alpaydin,G.U.; Ozgur Colpan,C.; Devrim,Y.
    Direct alcohol fuel cells are one of the suitable candidates for sustainable power generation in portable applications. Among the different alcohol types that can be used in these fuel cells, DME, which is almost non-Toxic at room temperature and easy to liquefy, and has a molecular structure similar to methanol, is one of the suitable options. For this reason, many studies have been carried out to develop direct dimethyl ether fuel cell (DDMEFC). Mathematical modeling studies also play an important role in the development of DDMEFC since they enable the understanding of the performance of the fuel cells more thoroughly. In this study, a model has been developed by using the principles of conservation chemical species and electrochemistry. A modeling study was performed using MATLAB. The values of some modeling parameters were estimated using the genetic algorithm optimization technique. © 2019 University of Split, FESB.