Hybrid Fuzzy Logic and Pid Controller for PH Neutralization Pilot Plant

Naseer, Oumair; Khan, Atif Ali

doi:10.5121/ijfls.2013.3201

Cited by 3 publications

(1 citation statement)

References 29 publications

(31 reference statements)

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“…We use only two input variables (initial sample volume and the real-time pH value measured by the pH probe) and one output variable (the flow rate of the titrant), allowing for a relatively simple rule base. Another potential concern of FLCs is controller stability. , Certain mathematical measures have been proposed to counterbalance and quantify instability, including integration with a PID controller . However, the steady state response is not a significant concern of our system since the experimental setup has only one inlet, which pumps directly into a continuously stirred beaker containing the titrant.…”

Section: Resultsmentioning

confidence: 99%

Automatic Microtitrator for Small Volume Samples

Rehman

Zhang

et al. 2022

ACS Meas. Sci. Au

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Electroanalytical sensors for point-of-care biomedical or point-of-use environmental sample analysis are gaining popularity due to low limits of detection, ease of miniaturization, convenience, and ability to work with small sample volumes. Since pH must be tightly controlled for optimum electrochemical performance, adjustment of pH in these samples is often a necessity. Yet manual titration is time-consuming and can be especially challenging for small volumes. End point determination can also be difficult. Current commercial automatic pH titrators are generally designed for large volume (>1 mL) batch titrations, while the existing microvolume titrators are semiautomatic at best, still relying on multiple manual steps. To address the gap, we developed an automatic microtitration system suitable for small volume samples. The system was validated using digested whole blood microsamples, successfully demonstrating accurate and rapid pH adjustment for samples as small as 100 μL. The simple modular construction of the system makes it compatible with acid washing for trace metal detection and other cleaning or sample preparation steps. The electrochemical detection of manganese heavy metal in blood at the parts per billion level showed no detectable contamination induced by the system. Ultimately, our simple, accurate, user-friendly automatic microtitration system can be used in the pH adjustment of microvolume samples and can potentially be extended to other pH end point analysis.

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Section: Resultsmentioning

confidence: 99%

Automatic Microtitrator for Small Volume Samples

Rehman

Zhang

et al. 2022

ACS Meas. Sci. Au

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Fuzzy-PID Strategy Based on PSO Optimization for pH Control in Water and Fertilizer Integration

Zhang

2022

IEEE Access

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In the process of crop growth, irrational fertilizer application methods have caused waste of fertilizer resources and water, as well as damaged the soil's structure. To puzzle the above problems out, the research constructs the model of water-fertilizer machine by gathering relevant parameters in the field. Considering the system's plenty of defects and combining it with the MATLAB/simulink system, such as non-linearity, time-varying, large inertia, uncertain mathematical model and severe lag, a fuzzy proportional integral differential control based on particle swarm optimization is proposed in this paper for water and fertilizer integration system. Primarily, the research is done for precision fertilization control of fertilizer integration system and water, and the parameters of fuzzy proportional integral differential gain that schedules controllers are optimized through a particle swarm algorithm. The effectiveness of the suggested controller has been validated by comparing with the control algorithms (proportional integral differential control, fuzzy proportional integral differential control) commonly applied in current fertilizer application systems. Simulation experiments for this research are devised through MATLAB/Simulink simulation platform. Significant improvement in the system's tuning capabilities by incorporating particle swarm algorithm in the hysteretic non-linear system. Eventually, four control algorithms are experimentally validated in this research at different pH values through Experiments čáre designed in the experimental field. The outcomes demonstrate that the control algorithm in this paper possesses better regulation effect, smaller overshoot, excellent stability and more inadequate rising steady state time compared with the previous controls, which can enables precise control of the fertiliser system. INDEX TERMSIntegration of water and fertilizer;Hysteretic System; pH value; Fuzzy PID control; Particle swarm optimization algorithm.

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Performance Comparison of pH Neutralization Process among Different Tunings of Conventional Controllers

Kumar

Deepika

2014

AMM

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The primary objective of this research paper is to develop a dynamic nonlinear pH neutralization process model, based on physical and chemical principles that can represent the specific pH neutralization pilot plant. The accuracy of this model should be sufficient to allow development of conventional and advanced control systems through simulation for subsequent implementation and testing on the plant itself. The pH neutralization process is modeled based on the reaction between strong basic solution (NaoH) and strong acidic solution (H2SO4) in Continuous Stirred Tank Reactor (CSTR). From open loop response pH system is considered as First Oder plus Dead time process. Comparison was made between four strategies like ZN, Fruehauf et al, Original IMC and Min ISTSE tuning Methods of PI and PID controllers. From the simulation results Error Indices and Time domain specifications where calculated for different tunings methods of PI and PID controller.

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Hybrid Fuzzy Logic and Pid Controller for PH Neutralization Pilot Plant

Cited by 3 publications

References 29 publications

Automatic Microtitrator for Small Volume Samples

Automatic Microtitrator for Small Volume Samples

Fuzzy-PID Strategy Based on PSO Optimization for pH Control in Water and Fertilizer Integration

Performance Comparison of pH Neutralization Process among Different Tunings of Conventional Controllers

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