Abstract
In this work, a proportional–integral (PI) controller with a set point filter is designed using the direct synthesis method for unstable plus time delay process. The Suggested method involves design parameters whose suitable values are recommended based on robust stability and robust performance constraints. The absence of derivative term makes PI controllers less sensitive to noise and, therefore, PI controllers are more preferable than PID in industrial applications. Despite a simple control architecture, the proposed method gives improved or comparable performance to previously presented approaches, which are comparatively complex. Four case studies are considered to evaluate the suitability and superiority of the suggested control technique. Proposed controller may be applied to the integrating plus time delay plants after some elementary transformations in the process model.
Acknowledgements
Authors acknowledge NIT Patna and Darbhanga college of engineering, Darbhanga for providing the healthy research environment and all the facilities during this work.
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Author contributions: Mr. Sanjay Kumar, Contributions: Conceptualization, simulations, theoretical development, result analysis, manuscript writing. Dr. Moina Ajmeri, Contributions: Conceptualization, result analysis, manuscript writing and supervision.
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Research funding: There is no funding involved in this work.
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Conflict of interest statement: The author declares that there is no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- A review of frictional pressure drop characteristics of single phase microchannels having different shapes of cross sections
- Research Articles
- Taguchi L16 (44) orthogonal array-based study and thermodynamics analysis for electro-Fenton process treatment of textile industrial dye
- Green synthesis of silver nanoparticles from Aspergillus flavus and their antibacterial performance
- Prediction of effect of wind speed on air pollution level using machine learning technique
- Model-based evaluation of heat of combustion using the degree of reduction
- Enhanced design of PI controller with lead-lag filter for unstable and integrating plus time delay processes
- Effect of operating parameters on the sludge settling characteristics by treatment of the textile dyeing effluent using electrocoagulation
- Simultaneous charging and discharging of metal foam composite phase change material in triplex-tube latent heat storage system under various configurations
- Optimal design of pressure swing adsorption units for hydrogen recovery under uncertainty
- Thermo-kinetics, thermodynamics, and ANN modeling of the pyrolytic behaviours of Corn Cob, Husk, Leaf, and Stalk using thermogravimetric analysis
Artikel in diesem Heft
- Frontmatter
- Review
- A review of frictional pressure drop characteristics of single phase microchannels having different shapes of cross sections
- Research Articles
- Taguchi L16 (44) orthogonal array-based study and thermodynamics analysis for electro-Fenton process treatment of textile industrial dye
- Green synthesis of silver nanoparticles from Aspergillus flavus and their antibacterial performance
- Prediction of effect of wind speed on air pollution level using machine learning technique
- Model-based evaluation of heat of combustion using the degree of reduction
- Enhanced design of PI controller with lead-lag filter for unstable and integrating plus time delay processes
- Effect of operating parameters on the sludge settling characteristics by treatment of the textile dyeing effluent using electrocoagulation
- Simultaneous charging and discharging of metal foam composite phase change material in triplex-tube latent heat storage system under various configurations
- Optimal design of pressure swing adsorption units for hydrogen recovery under uncertainty
- Thermo-kinetics, thermodynamics, and ANN modeling of the pyrolytic behaviours of Corn Cob, Husk, Leaf, and Stalk using thermogravimetric analysis