Embedded predictive controller based on fuzzy linear parameter-varying model: A hardware-in-the-loop application to an ESP-lifted oil well system

Matos, Victor Santos; Santana, Bruno A.; Chagas, Thiago Pereira das; Martins, Márcio A. F.

doi:10.1016/j.dche.2022.100054

Cited by 4 publications

(2 citation statements)

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“…However, this strategy does not have robustly stabilizing properties, despite the performance improvement compared to the linear model-based IHMPC [11]. Matos et al [9] extended that approach, treating the adaptation of the prediction model by a fuzzy structure, which combines data-based local linear models as a linear parametervarying model. This technique can be directly embedded in ESP installations since it needs minimum available measured data without requiring phenomenological knowledge or flow rate estimation.…”

Section: State Of the Art And Related Workmentioning

confidence: 99%

“…On the other hand, some authors are embedding their techniques in relevant hardware for real-time applications in this field, as Binder et al [7], Santana et al [8] and Matos et al [9]. These formulations are usually based on linear models and adaptive schemes without incorporating stabilizing properties.…”

Section: Introduction 1overview Of Esp-lifted Oil-well Systemmentioning

confidence: 99%

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Embedded MPC Strategies for ESP-Lifted Oil Wells: Hardware-in-the-Loop Performance Analysis of Nonlinear and Robust Techniques

et al. 2023

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This paper proposes embedded model predictive control strategies for oil-production processes equipped with electric submersible pump (ESP) installations. The novelty of this paper is the robustness and computational performance analysis of the Robust Infinite-Horizon Model Predictive Controller (RIHMPC) and Nonlinear Model Predictive Controller (NMPC) strategies, which have not yet been documented by the oil and gas exploration and production literature. The proposed method to embed the control laws is flexible with different hardware and is based on automatic code generation, which facilitates the project workflow. Hardware-in-the-loop simulation cases were used to compare the performance of both control strategies embedded in the Teensy 4.1 microcontroller, using key indices for real applications. The results showed that the RIHMPC strategy is a very promising alternative for real-time operation in ESP-lifted oil wells, with overall performance similar to the NMPC controller, even in noisy and plant–model mismatch scenarios, and using only linear models in its formulation.

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Section: State Of the Art And Related Workmentioning

confidence: 99%