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In this paper, we present a new particle swarm optimization. The original PSO has a weight term which is decreasing, increasing, or constant during iterations. In this paper, inertia terms are a vector instead of a scalar. Comparing a velocity and an updating term, the weight can be increased or decreased. That is, if the absolute value of velocity is larger or lesss than that of the update term,...
In this paper, we present PID controller design methods for automatic voltage regulators. We use three improved particle swarm optimization for PID controllers with which the step response is optimally regulated for automatic voltage controllers. We compare three different versions of particle swarm optimizations, i.e., the modified original PSO, the crazy PSO and the chaotic PSO. Among three PSOs,...
In this paper, we present a new third order particle swarm optimization. The original PSO has position and velocity vectors. However, the proposed algorithm has three vectors: i.e. a position vector, a velocity vector and an acceleration vector. From the proposed PSO, we obtain the third order difference equation and from the equation we obtain the convergence region for four parameters. By setting...
In this paper, we present a new particle swarm optimization. We call it a fourth order particle swarm optimization. The original PSO has position and velocity vectors. However, the proposed algorithm has four terms: i.e. a position vector, a velocity vector, an acceleration vector and a jerk vector. From the proposed PSO, we obtain the fourth order difference equation and from the equation we obtain...
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