基于DSP的无刷电机调速系统智能算法设计

基于模糊神经网络控制技术,本文设计了一种无刷直流电机的数字调速控制策略,该控制策略以二维模糊神经网络控制器为核心,结合了模糊控制和神经网络的特点,具有很强的模糊推理和自学习能力.根据该控制策略,设计了基于DSP的硬件电路,并进行了MATLAB的仿真,结果表明,采用模糊神经网络算法能取得令人满意的动静态性能,具有很强的鲁棒性和自适应性,为无刷直流电机的智能控制提供了新的理论依据.

Intelligent algorithms design of BLDCM control system based on DSP

On the basis of fuzzy control and neural network(FNN), this paper presents a numerical speed control strategy of Brushless DC Motor (BLDCM).A two-dimensional FNN controller makes up the nuclease of the control strategy that integrates characteristics fuzzy control and neural networks. According to the speed control strategy a hardware circuit based on DSP was designed and simulation done by MATLAB was also given out, the results show that the FNN controller does well not only in static and dynamic performance, but also in high robustness and adaptive ability.