Desired Characteristic Equation Based PID Controller Tuning for Lag-Dominating Processes With Real-Time Realization on Level Control System

2021 ◽  
Vol 5 (4) ◽  
pp. 1255-1260
Author(s):  
Ujjwal Manikya Nath ◽  
Chanchal Dey ◽  
Rajani K. Mudi
Author(s):  
Himanshukumar R. Patel ◽  
Vipul A. Shah

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.


2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
V. Rajinikanth ◽  
K. Latha

An enhanced bacteria foraging optimization (EBFO) algorithm-based Proportional + integral + derivative (PID) controller tuning is proposed for a class of nonlinear process models. The EBFO algorithm is a modified form of standard BFO algorithm. A multiobjective performance index is considered to guide the EBFO algorithm for discovering the best possible value of controller parameters. The efficiency of the proposed scheme has been validated through a comparative study with classical BFO, adaptive BFO, PSO, and GA based controller tuning methods proposed in the literature. The proposed algorithm is tested in real time on a nonlinear spherical tank system. The real-time results show that, EBFO tuned PID controller gives a smooth response for setpoint tracking performance.


TAPPI Journal ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 83-91 ◽  
Author(s):  
RIKU KOPRA ◽  
KIMMO KOIVULA ◽  
OLLI DAHL

The objective of this study was to improve the efficiency of a certain Scandinavian chemical pulp mill’s brownstock washing line. The information was collected by using online devices (a refractometer and a conductivity meter), and the whole line was controlled by an upper level control system. The results indicate that it is possible to reduce the amount of brownstock washing loss by controlling the dilution factor (DF) of the entire brownstock washing line, via the use of torque control of washers and real time wash loss measurements. Simultaneously, the amount of used wash water is decreased, thus significantly improving the economic efficiency of the fiber line, especially in the evaporation and bleaching plant. Real time dissolved dry solids (DDS) measurements proved useful for controlling and monitoring the wash loss and water consumption.


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