MSP designing with optimal fractional PI–PD controller for IPTD processes
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Sayani Sengupta
,
Somak Karan
Abstract
An effective tuning methodology of modified Smith predictor (MSP) based fractional controller designing for purely integrating time delayed (IPTD) processes is reported here. IPTD processes with pole at the origin are truly difficult to control; exhibit large oscillations once get disturbed from their steady state. Proposed MSP design consists of fractional PI (proportional-integral) and fractional PD (proportional-derivative) controllers together with P (proportional) controller. Fractional controllers are competent to provide improved closed loop responses due to flexibility of additional tuning parameters. Fractional tuning parameters of PI and PD controllers are derived through optimization algorithms where integral absolute error (IAE) is considered as cost function. Efficacy of the proposed methodology is validated for IPTD processes having wide range of time delay. Stability and robustness issues are explored under process model uncertainties with small gain theorem. Performance of the proposed MSP-FO(PI–PD) controller is validated through simulation study relating five IPTD process models. Overall satisfactory closed loop responses are observed for each case during transient as well as steady state operational phases.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
- Frontmatter
- Research Articles
- MSP designing with optimal fractional PI–PD controller for IPTD processes
- A novel nonlinear sliding mode observer to estimate biomass for lactic acid production
- pH prediction for a semi-batch cream cheese fermentation using a grey-box model
- Modeling of carbon dioxide and hydrogen sulfide pollutants absorption in wetted-wire columns with alkanolamines
- Pharmaceutical wastewater treatment using TiO2 nanosheets deposited by cobalt co-catalyst as hybrid photocatalysts: combined experimental study and artificial intelligence modeling
- Numerical simulation of fluid flow mixing in flow-focusing microfluidic devices
- A nonlinear autoregressive exogenous neural network (NARX-NN) model for the prediction of solvent-based oil extraction from Hura crepitans seeds
- Intensification of thorium biosorption onto protonated orange peel using the response surface methodology
- Investigating the energy, environmental, and economic challenges and opportunities associated with steam sterilisation autoclaves
- Short Communication
- Molecular dynamics simulations of water-ethanol droplet on silicon surface
