Analysis and design of scaling optimal GPM-PID control with application to liquid level control

2016 ◽  
Vol 13 (6) ◽  
pp. 624-633
Author(s):  
Zhuo-Yun Nie ◽  
Rui-Juan Liu ◽  
Fu-Jiang Jin ◽  
Lai-Cheng Yan
2012 ◽  
Vol 591-593 ◽  
pp. 1629-1632
Author(s):  
Li Zhang ◽  
Jian Hui Wang ◽  
Hou Yao Zhu

This thesis mainly elaborated the PID neural network feed-forward algo-rithm and back propagation algorithm and the structure form of its controller, then make use of MATLAB to simulate the liquid level adjusting system, analysis its control perform-ance and choose appropriate neural network parameters, and compared with the traditional PID control effect, analyzes the advantages of PID neural network. Through the comparison with the conventional PID control, PID neural network is superior to the traditional PID. The traditional PID control tuning parameters has a large number of thumb rules for reference, but the setting out of the parameters is not necessarily good. And sometimes we have to modify the parameters if we wound the better control effect. PID neural network is set up as long as the learning step in accordance with the PID rule set. this paper has show that Liquid Level Control System based on Computer Nerve Network has good control effect of rapid and effective.


2011 ◽  
Vol 383-390 ◽  
pp. 207-212 ◽  
Author(s):  
Yi Lin ◽  
Xiao Ling Ye

Aiming at the liquid-level control of double water-tank, this paper discusses the application of fuzzy control theory in liquid-level control system and a cascade control method based on fuzzy self- tuning PID controller is proposed. The design method of this fuzzy self- tuning PID controller is put forward. The fuzzy self- tuning PID controller is designed and the control effect of three kinds control methods, the single loop PID control system, the cascade control system and the cascade control system based on fuzzy self- tuning PID are simulated with Simulink. The analysis and simulation results indicate that the overshoot, the adjusting time and the capacity of anti- disturbance of the liquid-level cascade control system based on fuzzy self- tuning PID controller are superior to those of the general single loop PID control and cascade control.


2012 ◽  
Vol 241-244 ◽  
pp. 1076-1080 ◽  
Author(s):  
Liang Li ◽  
Zhang Yong ◽  
Li Ai-Lian

To resolve the problem of lumping lag and nonlinear of the coupled-tank liquid-level control system , a fuzzy Smith- PID control approach is researched. In this approach, the characteristic of the control system is analyzed,the fuzzy Smith- PID controller is designed. In kingview, the monitoring interface is designed, and the Liquid-level control system is practiced.The result shows that this method is rationality and feasibility.


2012 ◽  
Vol 155-156 ◽  
pp. 1232-1236 ◽  
Author(s):  
Huai Zhong Chen

Because the characteristics of the liquid level control conditioner are nonlinear, strong inertia, time-variant and pure delay, the conventional PID control is often ineffective. A fuzzy immune PID controller was designed based on the immune feedback mechanism and the fuzzy control theory, used the genetic algorithm to optimize the immune PID parameters, established a the liquid level control of water tank control system model, and applied fuzzy immune PID control technology to simulate the liquid level control through Matlab emulation., simulation results show that the control system has the characteristic of rapid adjustment, high regulation enec, therefore it has the feasibility and the promotion of a certain value.


Measurement ◽  
2021 ◽  
Vol 175 ◽  
pp. 109146
Author(s):  
Xiangxiang Meng ◽  
Haisheng Yu ◽  
Jie Zhang ◽  
Tao Xu ◽  
Herong Wu

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