Neural control based on incomplete derivative PID algorithm

被引：0
|
作者：
机构：
[1] Wang, QiZhi
[2] Wang, Xiaoxia
来源：
Wang, Q. | 1600年 / Universitas Ahmad Dahlan卷 / 11期
关键词：
Control process - Differential response - Digital PID - High-frequency noise - Incomplete derivative - Neural control - PID - PID Algorithm - PID control algorithm - Process oscillations;
D O I：
10.11591/telkomnika.v11i4.2392
中图分类号：
学科分类号：
摘要：
In the actual control, complete differential digital PID algorithms have been widely used. But the differential will amplify high-frequency noise. If the differential response is too sensitive, it is easy to cause the control process oscillation, incomplete PID control algorithms can overcome the differential oscillation. Incomplete derivative PID algorithm combined with neural network improves the system control quality, it has the important practical significance. The simulation shows it has good position tracking performance and high robustness. ©2013 Universitas Ahmad Dahlan.
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