基于小波神经网络的转台伺服系统控制研究

摘要

针对转台伺服系统的跟踪控制问题,提出了一种基于小波神经网络的控制方法通过Matlab/Simulink环境下的仿真实验表明,该控制方法克服了传统PID控制的鲁棒性差、精度低等不足,增强了系统的自适应能力和抗干扰能力,大大改善了系统的动态特性.仿真结果表明,小波神经网络控制器具有良好的控制效果,跟踪精度高、性能稳定及鲁棒性强,能更为有效地应用到转台系统中.%Aiming at the tracking control problem of rotary table setvo system,a control strategy based on Wavelet Neural Network is provided for it.The experiment result based on the environment of Matlab/Simulink shows that this control strategy can be used to overcome the weakness that traditional PID controller can't adjust themselves according to parameter variation of the rotary table,thus improving the adaptive and anti-jamming capacity.Its dynamic and static characteristics are better than ones of traditional PID control strategy.Simulation results show that the wavelet neural network controller has good control performance,high tracking accuracy and strong robustness,which can be better applied to the turntable system.