摘要
在有些系统性能指标要求很高的导弹发射装置的随动系统中,传统的PID控制往往难以满足要求。文章以某型导弹发射装置的随动系统为模型,结合了模糊控制、神经网络及PID等控制算法,设计了模糊神经PID控制器。通过与传统的PID控制器仿真实验对比,可以看出应用模糊神经PID控制器能够有效地提高该随动系统的动态性能和鲁棒稳定性。
The performance of some servo system is required strict, and the traditional PID control is often difficult to satisfy the requirement. According to the model of a missile launcher servo system and combining fuzzy neural network with PID control, the fuzzy neural network PID controller is designed. The consequence of simulation indicates that compared with the traditional PID, the dynamic performance and robustness of the servo system is highly improved when the neural network adaptive controller is used.
出处
《海军航空工程学院学报》
2012年第6期664-668,共5页
Journal of Naval Aeronautical and Astronautical University
作者简介
赵修平一（1963-），男，教授，硕士。
