Abstract
An internal model control method which is based on RBF network optimized by genetic algorithm is proposed to control the speed of the permanent magnet synchronous motor in this paper. As genetic algorithm is a global search and optimization algorithm which simulates the genetic and long-term evolvement process of biology. By the optimization of genetic algorithm, the optimal structure and parameters of the RBF network are achieved and the optimized RBF network is applied into the speed loop internal model control of the permanent magnet synchronous motor. Simulation results show that the proposed internal model controller can overcome the influence caused by nonlinear factor and time varying parameters, and provides the high-performance dynamic characteristics.
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