A Study on the Simulation of Fusion Complex Process Automation with Water Level Control of Water Tower by PID Controller

2019 ◽  
Vol 37 (4) ◽  
pp. 415-427
Author(s):  
Hyun sung Cho
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Process Automation ◽  
Level Control ◽  
Complex Process

scholarly journals A hybrid PSO-PID approach for trajectory tracking application of a liquid level control process

2015 ◽  
Vol 5 (2) ◽  
pp. 63-73 ◽  
Author(s):  
Turker Tekin Erguzel
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Nuclear Power ◽  
Power Plants ◽  
Control Process ◽  
Nonlinear Process ◽  
Reference Trajectory ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Steam Generators

Water level control is a crucial step for steam generators (SG) which are widely used to control the temperature of nuclear power plants. The control process is therefore a challenging task to improve the performance of water level control system. The performance assessment is another consideration to underline. In this paper, in order to get better control of water level, the nonlinear process was first expressed in terms of a transfer function (TF), a proportional-integral-derivative (PID) controller was then attached to the model. The parameters of the PID controller was finally optimized using particle swarm optimization (PSO). Simulation results indicate that the proposed approach can make an effective tracking of a given level set or reference trajectory.

Water Level Control Embedded Fuzzy-PID and Pole-Placement Strategy

2011 ◽  
Vol 464 ◽  
pp. 43-47 ◽  
Author(s):  
Biao Yu ◽  
Hui Zhu
Keyword(s):  
Water Level ◽  
Control Strategy ◽  
Pid Controller ◽  
State Feedback ◽  
Pole Placement ◽  
Fuzzy Pid ◽  
Level Control ◽  
Complex Dynamic ◽  
Boiler Water ◽  
Fuzzy Pid Controller

Since boiler water level system is a complex dynamic system, it is difficult to obtain satisfactory control performances by using the traditional PID controller whose parameters are constant. Therefore, an intelligent fuzzy-PID controller, which can adjust the three parameters of PID in terms of the level error and the rate of lever error, is proposed. On the other hand, if knowing the relation between the closed-loop poles and the system performance, we can achieve the desired control characteristics with pole-placement approach. So, a new control strategy combined with PID controller, fuzzy logic and pole-placement design through state feedback is further proposed. The simulation results show that this control strategy has much better performances than is obtained with traditional controllers.

scholarly journals Performance Evaluation of the Good Gain Method Against Other Methods Using a Water Level Control System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
The Other ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Tuning Method ◽  
Pid Tuning ◽  
Pid Controller Tuning ◽  
Tuning Methods

Various tuning methods have been proposed for proportional-integral-derivative (PID) controller. A respectively new and simple experimental method for tuning PID controllers named a Good Gain method that was recently proposed by F. Haugen in 2010, this method is not yet recognized among the other known methods for tuning. However, the founder of this methods claims that it can be an alternative to the famous Ziegler-Nichols. In this paper, PID tuning method has been performed experimentally using a real water level system in order to test and validates the Good Gain method. Also other PID tuning methods applied to the same system to compare the results. The results show that the Good Gain method gives an acceptable stability and response comparing to the other industrial PID controller tuning procedures

Application of the K-Means Immune Particle Swarm Optimization Algorithm in the Steam Generator Water Level Control

2014 ◽  
Vol 981 ◽  
pp. 534-537
Author(s):  
Gui Min Sheng ◽  
Yu Cui Xue ◽  
Bo Yang Zhang
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Nuclear Power ◽  
Power Plants ◽  
Adaptive Method ◽  
Level Control ◽  
Adjustment Time ◽  
Selection Parameter ◽  
Simulation Results ◽  
The Stability

The Stability of SG water level plays an important role in the safety of nuclear power plants, but tuned the parameter of water level PID controller is hard. Proposed a novel algorithm, KIPSO, which tuning PID controller parameters. Determine the cluster centre through K-means value cluster algorithm, and take the cluster territory as the characteristic value of vaccine set, enhance the vaccine multiplicity. Updated vaccine extraction by self-adaptive method, improved the convergence and adaptability. Analyzed the algorithm robustness in detail, and gave the rule which the immunity selection parameter. The simulation results shows: compares with the PID controller whose parameters are tuned by ZN method, KIPSO have a smaller overshoot, a better stability, and a shorter adjustment time. The simulation results show that the proposed method is effective for tuning PID parameters.

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