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A general mathematic model of multi-motor system working on vector control mode is given. Here, a three-motor synchronous system was taken as the research object, and was proved to be invertible. A method of generalized growing and pruning RBF (GGAP-RBF) neural network inverse for synchronous control of multi-motor system is proposed. The inverse can be constructed by combining the RBF neural network...
The permanent magnet synchronous motor (PMSM) is a dynamic, multi-variable and non-linear system, and the conventional PID control method is very difficult to meet the requirement for high accuracy control. This paper presents an approach of control for PMSM servo system using fuzzy radius basis function (f-RBF) neural network which has the advantages of strong adaptive ability and nonlinear approximation...
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