摘要
为了克服工业滞后系统难以建立准确模型、控制误差大的问题 ,文章采用基于神经网络的预测控制方法 ,实现了滞后补偿 ,提高了抗干扰能力 ,从而降低了控制误差。仿真结果表明该方法在不引起震荡的同时大大提高了系统的稳定性能。
In order to overcome the problem that it is difficult to build the model of the industrial time-delay plant and to reduce the control error,the improved predictive control method based on neural network control is applied. Gain the ends: compensating the time-delay?improving the ability of anti-jamming. The simulation result shows the proposed method can cancel out the delay effect and have not the oscillatory response.
出处
《计算机测量与控制》
CSCD
2003年第3期184-186,共3页
Computer Measurement &Control
