基于双模控制算法的交流伺服电机的研究

为了提高伺服电机控制的实时性和精确性,满足伺服系统高速度和高精度的控制要求,提出一种自适应神经元模糊PID的交流伺服电机控制算法。该算法充分结合模糊PD控制的强鲁棒性和神经网络控制强大的自学习能力。通过对仿真结果对比分析,结合后的控制算法相比单一的模糊PD算法和单神经元自适应算法,系统的响应速度更快,精度更高。

Research on AC Servo Motor Based on Dual Mode Control Algorithm

In order to improve the real-time and accuracy of servo motor control and meet the requirements of servo system with high speed and high precision,an AC servo motor control algorithm combined with fuzzy PD and single neuron adaptive PID was proposed.This algorithm fully combines the strong robustness of fuzzy PD control and the strong self-learning ability of neural network control.By comparing and analyzing the simulation results,the combined control algorithm is faster than the single fuzzy PD algorithm and the single neuron adaptive algorithm,and the system’s response speed is faster and the accuracy is higher.