scholarly journals PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System

Author(s):  
Mehmet YILMAZ ◽  
Kaan CAN ◽  
Abdullah BAŞÇİ
Measurement ◽  
2021 ◽  
Vol 175 ◽  
pp. 109146
Author(s):  
Xiangxiang Meng ◽  
Haisheng Yu ◽  
Jie Zhang ◽  
Tao Xu ◽  
Herong Wu

2014 ◽  
Vol 945-949 ◽  
pp. 2559-2562
Author(s):  
Miao Yu ◽  
Hong Li Jia ◽  
Pan Jie Chen

Double tank level control system is the combined control with the host computer and basic instrument, and it realizes the communicative function through monitoring and management. The object of this topic is mainly on double-tank system, then gets the theoretical parameters PID through measuring the characteristic curves of the water level, and finally use MCGS configuration software on PC, for further interaction interface to the parameters tuning of double-holding water tank system and to set the parameters. After reaching the expected target, on the base of routine control PID, we can improve the system function by forming the double loop system and control the liquid level of the water bank better. The two tank liquid level control is made as the core control system by computer and as one kind of fashionable trends.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Tijjani Auwal Shehu ◽  
Shehu Muhammad Auwal ◽  
Alsabari Ali Mohsen ◽  
Sambo Yusuf A ◽  
Tanko Nuradeen Labaran

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Liqing Xiao

Parameter tuning of PID controller for liquid level control of beer filling machine was studied in this paper, which can meet the demand of accurate controlling in beer production and improve the rapidity under the same conditions. Firstly, an improved genetic algorithm was proposed which has been verified by eight kinds of test functions. Simulation results revealed that, in comparation with other modified particle swarm optimization algorithm and modified genetic algorithm, the algorithm proposed in this work is not only capable to improve the convergence speed and precision under the same experimental conditions but also to improve the probability to converge to the optimal value. Finally, the proposed algorithm was applied to the parameter tuning of the PID controller of beer filling machine for liquid level control. Superior property had been obtained, which implied an effective improvement in the rapidity with the premise of steady-state error exclusion.


Sign in / Sign up

Export Citation Format

Share Document