摘要
提出了一种增益自调整的神经元PID控制方法。利用MATLAB/SIMULINK仿真软件对该控制方法在一般工业对象上的应用进行了仿真研究,结果表明,该控制方法与常规PID控制方法相比,具有更好的自适应性和更强的鲁棒性。
A control strategy based on neuron PID is introduced.The neural gain is self-regulative.The simulation research using MATLAB/SIMULINK soft is done with this control strategy applying in general industrial objects.The simulation results show that this method is much self-adaptive and higher robust than traditional control method.
出处
《煤矿机械》
北大核心
2007年第6期53-55,共3页
Coal Mine Machinery