基于并行控制的交流伺服系统控制

Control of AC Servo System Based on Parallel Control

针对一般大口径火箭炮交流伺服系统的调控方法难以达到性能较好的问题,提出了RBF神经网络-单神经元PID自校正控制方法。通过半实物仿真,分别对RBF神经网络PID自校正控制器和并行复合控制器的性能进行试验验证。仿真结果表明:采用并行复合控制的火箭炮伺服系统反应速度快、稳定性强及精度高,能够很好地满足火箭炮交流伺服系统的性能指标要求。

A RBF neural network-single neuron PID self-tuning control method is proposed to solve the problem that the control method of the AC servo system of large caliber rocket launcher is difficult to achieve better performance.The performance of the RBF neural network PID self-tuning controller and the parallel compound controller is tested by the hardware in the loop simulation.The simulation results show that the rocket servo system with parallel composite control has faster reaction speed,stronger stability and higher precision,and can better meet the performance requirements of the AC servo system of the rocket gun.