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In the field of modern national defense and civilian technology, we often need to precisely adjust a bearing platform. The platform with certain equipment to the horizontal position improves the system performance. Short time, high speed, high precision and well stability is required in the leveling system. However, the leveling system is a nonlinear time-varying system. “involvement coupling” problem...
Particle swarm optimization algorithm with adaptive velocity (VPSO) has been proposed, based on the moving maximum limited velocity set in original particle swarm optimization (PSO) algorithm, in this paper. The testing results by neural network show that this algorithm is better than original PSO in convergent speed and accuracy, and its parameters selection is flexible and is easily realized. The...
This paper introduces a particle swarm optimization algorithm with adaptive velocity (VPSO), in which a moving maximum limited velocity is set in original particle swarm optimization (PSO) algorithm to improve the performance of the PSO. The test results by neural network show that this algorithm is better than original PSO in convergent speed and accuracy, and its parameters selection is flexible...
In this paper, base on studying learning rate of PSO, in order to adjust the social part and the cognition part proportions, learning rate change linearly with velocity-formula evolving is made; the BP neural network PSO training heavily increases the congruence speed of the networks to avoid involving local extremum. According to actual data of two levels gearbox in vibration lab, signals are analyzed...
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