The superiority of adaptive fuzzy PID control algorithm in sintering furnace temperature control

2011 ◽  
Vol 135-136 ◽  
pp. 809-813
Author(s):  
Yong Feng Ju ◽  
Le Zhao ◽  
Shang Gao

With the rapid development of the urbanization, the problem of city transportation has been becoming the same issue to each big city in China. As the converge points of urban traffic, the branch junctions are playing important role in the road net and traffic flow. It is true that traditional PID control algorithm is widely used in various control systems. Because its principle is simple and easy to build and has no error in the steady state, etc. However, it does not have a good adaptability towards the change of parameters. It is inferior towards interference, etc. According to the above situation, a adaptive Fuzzy-PID control algorithm is proposed which has returned the characters of regular PID control algorithm. The fuzzy control algorithm is used to realize the on-line regulating relative PID parameters. The simulation analysis indicates that the presented method is effective to improve the main road control.


2012 ◽  
Vol 217-219 ◽  
pp. 2463-2466 ◽  
Author(s):  
Xue Gang Hou ◽  
Cheng Long Wang

Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.


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