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Language: English

Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received December 3, 2017
Accepted April 30, 2018

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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A model predictive functional control based on proportional-integral-derivative (PID) and proportional-integral-proportional-derivative (PIPD) using extended non-minimal state space: Application to a molten carbonate fuel cell process

Beom Seok Kim Tae Young Kim Tae Chang Park Yeong Koo Yeo^†

Department of Chemical Engineering, Hanyang University, Seoul 04763, Korea

Korean Journal of Chemical Engineering, August 2018, 35(8), 1601-1610(10), 10.1007/s11814-018-0068-y

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Abstract

The performance of most controllers, including proportional-integral-derivative (PID) and proportionalintegral- proportional-derivative (PIPD) controllers, depends upon tuning of control parameters. In this study, we propose a novel tuning strategy for PID and PIPD controllers whose control parameters are tuned using the extended non-minimal state space model predictive functional control (ENMSSPFC) scheme based on the auto-regressive moving average (ARMA) model. The proposed control method is applied numerically in the operation of the MCFC process with the parameters of PID and PIPD controllers being optimized by ENMSSPFC based on the ARMA model for the MCFC process. Numerical simulations were carried out to assess the set-point tracking performance and disturbance rejection performance both for the perfect plant model, which represents the ideal case, and for the imperfect plant model, which is usual in practical applications. When there exists uncertainty in the plant model, the PIPD controller exhibits better overall control performance compared to the PID controller.

Keywords

PID Control PIPD Control Extended Non-minimal State Space Model Predictive Functional Control Molten Carbonate Fuel Cell Numerical Simulation

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