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Aiming at a complicated coupling and non-linear brushless DC motor (BLDCM) servo system, the conventional algorithms have many disadvantages, such as less precision, lower speed response. Taking the mechanical characteristics of BLDCM into consideration, an improved particle swarm optimization algorithm is presented in this paper, which is applied in the speed control of the Brushless DC Motor (BLDCM)...
Addressing to the difficulties in PID parameter tuning, low accuracy in temperature controlling and the dissatisfaction in high exactitude extrusion processing of the present PID controllers, a new kind of PID controller based on RBF neural network is proposed. It can not only obtain a higher accuracy in temperature controlling, but also infinitely approach the nonlinear system with quicker and more...
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