双闭环调速系统的神经元控制及内环最平幅频法优化设计

The Double Close Loop Adjusting Speed System with neuron Control andOptimized Design of Its Inner Loop

对双闭环调速系统提出了一种电流内环ＰＩ调节器采用优于工程设计法的最平幅频法设计，而速度环采用神经元控制器的自适应控制方案；仿真结果表明，该调速系统具有无超调、无静差、响应速度快、鲁棒性强等优点，结构和算法简单，易于实现数字控制。

This paper introduces a design approach for the double close loop adjusting speed system, its current regulating loop adopt a better design approach of flattest amplitude-vs-frequency properties than the engineering design approach and speed regulating loop adopt a self-adaptive control method based on the single nearo controller. The simulation results show that this adjusting speed system has the advantage of fast response, no overshoot ,no error in steady state and stronger robustness. Structure and algorithm of the controller is simple and is easy to implement digital control.