Design Of PID Controller For Boiler Drum Level Control

2013 ◽  
Vol 1 (4) ◽  
pp. 14-18
Author(s):  
J. Pavithra ◽  
◽  
T.Kalavathi Devi ◽  
R. Mouleeshuwarapprabu ◽  
◽  
...  
Keyword(s):  
Pid Controller ◽  
Level Control ◽  
Boiler Drum

The Study of Level Control Strategy for Supercharged Boiler Drum Based on Fuzzy Control

2014 ◽  
Vol 687-691 ◽  
pp. 216-219
Author(s):  
Peng Wang ◽  
Qi Dan Zhu ◽  
Hai Tao Xie ◽  
Guo Lei Zhang
Keyword(s):  
Simulation Model ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Level Control ◽  
Object A ◽  
Water Level Changes ◽  
Boiler Drum ◽  
Metal Wall ◽  
Better Than ◽  
Controlled Object

The supercharged boiler drum level as the controlled object, a high-precision simulation model was established considering the impacts of the distribution of the metal wall condensation inside the drum on the water level changes. Based on simulation model, a simulation program for pressurized boiler was prepared. The simulation results show that the performance of the state fuzzy controller is better than the PID controller.

The Study of Water Level Fuzzy Control for Supercharged Boiler Drum

2014 ◽  
Vol 936 ◽  
pp. 2165-2170
Author(s):  
Hong Yan Zhang ◽  
Xiang Dong Jin ◽  
Hai Tao Xie
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
State Level ◽  
Level Control ◽  
Steam Power ◽  
Steam Power System ◽  
Disturbance Response ◽  
Boiler Drum

Based on the application of the fuzzy theory,we designed a state level fuzzy controller for the marine steam power system. Compared with the level PID controller and a single-stage cascade PID level controller about disturbance response, the state level controller is more suitable for marine supercharged boiler level control because of its Smaller overshoot, shorter settling time, and other characteristics.

scholarly journals Real Time Level Control of Conical Tank and Comparison of Fuzzy and Classical Pid Controller

2015 ◽  
Vol 8 (S2) ◽  
pp. 40 ◽  
Author(s):  
C. Dinesh ◽  
V. V. Manikanta ◽  
H. S. Rohini ◽  
K. R. Prabhu
Keyword(s):  
Real Time ◽  
Pid Controller ◽  
Level Control ◽  
Time Level

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.

Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults*

2021 ◽  
Vol 14 (1) ◽  
pp. 33-53 ◽  
Author(s):  
Himanshukumar R. Patel ◽  
Vipul A. Shah
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Pid Controller ◽  
System Component ◽  
Level Control ◽  
Content Type ◽  
Level Control System ◽  
Interval Type ◽  
Component Faults

PurposeThe two-tank level control system is one of the real-world's second-order system (SOS) widely used as the process control in industries. It is normally operated under the Proportional integral and derivative (PID) feedback control loop. The conventional PID controller performance degrades significantly in the existence of modeling uncertainty, faults and process disturbances. To overcome these limitations, the paper suggests an interval type-2 fuzzy logic based Tilt-Integral-Derivative Controller (IT2TID) which is modified structure of PID controller.Design/methodology/approachIn this paper, an optimization IT2TID controller design for the conical, noninteracting level control system is presented. Regarding to modern optimization context, the flower pollination algorithm (FPA), among the most coherent population-based metaheuristic optimization techniques is applied to search for the appropriate IT2FTID's and IT2FPID's parameters. The proposed FPA-based IT2FTID/IT2FPID design framework is considered as the constrained optimization problem. System responses obtained by the IT2FTID controller designed by the FPA will be differentiated with those acquired by the IT2FPID controller also designed by the FPA.FindingsAs the results, it was found that the IT2FTID can provide the very satisfactory tracking and regulating responses of the conical two-tank noninteracting level control system superior as compared to IT2FPID significantly under the actuator and system component faults. Additionally, statistical Z-test carried out for both the controllers and an effectiveness of the proposed IT2FTID controller is proven as compared to IT2FPID and existing passive fault tolerant controller in recent literature.Originality/valueApplication of new metaheuristic algorithm to optimize interval type-2 fractional order TID controller for nonlinear level control system with two type of faults. Also, proposed method will compare with other method and statistical analysis will be presented.

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