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Brushless DC motor has many sorts of problems in practice, for example, the most prominent are large overshoot and adjustment time is long. In this paper, a controller is proposed to solve these problems. Firstly, the structure and the working principle of BLDCM are analyzed. The double closed loop speed regulation system is simulated, including the speed loop with PI control, fuzzy adaptive PID control...
Support vector machine (SVM) is based on the statistical learning theory. It has recently been successfully used to solve nonlinear regression and time series problems and has been applied to predict values. The key problem of SVM is the choice of SVM parameters. Particle swarm optimization (PSO) algorithm has the ability of global optimization. This paper proposed an improved PSO algorithm based...
Support Vector Machine (SVM) is a type of learning machine which has been proved to be available in solving the problems of nonlinear regression. The decision of SVM parameters is essential. In this paper a new SVM model based on particle swarm optimization (PSO) for parameter optimization has been proposed. PSO algorithm has extensive capability of global optimization. Once the PSO finds the optimal...
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