Data Driven Modelling for Dual Composition Estimation in Binary Distillation Process

Sagi, Bharati; Thangavelu, Thyagarajan

doi:10.1109/icccsp49186.2020.9315278

Cited by 2 publications

References 11 publications

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Model Independent Dynamic Predictive Controller Design Using Differential Extreme Learning Machine for Composition Control in Binary Distillation Column

Sagi,

Thyagarajan

2024

Adaptive Control & Signal

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This paper presents a novel design framework termed differential Extreme Learning Machine (DELM) for addressing nonlinear process dynamics in time series modelling. DELM is constructed via a single‐layer feed‐forward ELM network featuring a skip net topology. This innovative network is engineered to accurately assess nonlinear time series patterns utilizing an nth order Legendre polynomial activation and imposing constraints at the output layer. The DELM persistently monitors trends in streaming process data and adjusts dynamic model predictive control (DMPC) settings inside the feedback loop. The Adaptive Distributed Model Predictive Control (ADMPC) is engineered to provide optimal control responses that meet both local and global stability requirements. The efficacy of DELM‐driven DMPC is evaluated for reference tracking and disturbance rejection goals and compared with RELM‐based DMPC and model‐based adaptive MPC (AMPC). The DELM‐DMPC surpasses alternative methods by providing superior generalization, stability, and computational efficiency. Average performance accuracy of 95% is attained across the operational range, exhibiting superior computing speed relative to its controller counterparts.

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Model Independent Dynamic Predictive Controller Design Using Differential Extreme Learning Machine for Composition Control in Binary Distillation Column

Sagi,

Thyagarajan

2024

Adaptive Control & Signal

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Implementation of PRBS & RGS Perturbation Input Signals on Steam Temperature: Model Estimation and PID Control

Nasir

Hambali

Rahiman

2023

2023 19th IEEE International Colloquium on Signal Processing &Amp; Its Applications (CSPA)

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Data Driven Modelling for Dual Composition Estimation in Binary Distillation Process

Cited by 2 publications

References 11 publications

Model Independent Dynamic Predictive Controller Design Using Differential Extreme Learning Machine for Composition Control in Binary Distillation Column

Model Independent Dynamic Predictive Controller Design Using Differential Extreme Learning Machine for Composition Control in Binary Distillation Column

Implementation of PRBS & RGS Perturbation Input Signals on Steam Temperature: Model Estimation and PID Control

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