摘要
讨论了传统PID控制和神经网络模型参考自适应控制器的结构、控制算法,并探讨了系统参数发生变化对控制效果的影响.在理论分析的基础上对气动位置伺服系统的响应特性进行了研究,证明了本文提出的控制策略对气动位置伺服系统是适合的,控制系统具有良好的动态和静态特性,而且控制算法的实现比较简单,适合在实际中应用.
The classic PID controller and neural net model aoapuve controller are discussed in this paper, and the influence of the parameter on the system performance is the emphasis. The step response of the system symbol is gained. Corresponding control, strategy is presented for the pneumatic position control system. Based on this model, computer simulation is completed. The research of simulation shows that the control strategy presented can improve the static and dynamic behavior of the system effectively.
出处
《沈阳理工大学学报》
CAS
2007年第1期44-47,65,共5页
Journal of Shenyang Ligong University
关键词
气动机械手
神经网络
自适应控制
pneumatic manipulator
neural net
adaptive control
