Based on the Application of Self-Learning Fuzzy PID Control in Tension Control System
2013 ◽
Vol 655-657
◽
pp. 1505-1509
Keyword(s):
Tension control system is one of the widely used systems in modern industrial control systems. In tension control system PID parameter setting is one of the main problems affecting the control system performance. However, conventional PID parameter is difficult to set. This article describes a PID fuzzy controller based on adaptive learning, which can change according to the deviation and deviation rate to adjust parameters in real time. Practice shows that such self-learning fuzzy PID controller has better control performance than conventional PID controller in tension control.
2013 ◽
Vol 846-847
◽
pp. 224-227
Keyword(s):
2009 ◽
Vol 16-19
◽
pp. 93-99
2009 ◽
Vol 16-19
◽
pp. 150-154
◽
Keyword(s):
2014 ◽
Vol 945-949
◽
pp. 2568-2572
Keyword(s):
2013 ◽
Vol 325-326
◽
pp. 1193-1196
2013 ◽
Vol 341-342
◽
pp. 892-895
Keyword(s):
2011 ◽
Vol 383-390
◽
pp. 7345-7350
Keyword(s):
Keyword(s):