4.6 Article

A learning-based model predictive strategy for pH control in raceway photobioreactors with freshwater and wastewater cultivation media

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches

Onder Tutsoy et al.

Summary: This article introduces a model-free control approach that achieves learning and control goals by constructing a comprehensive exploration-exploitation policy. It also proposes a completely model-free adaptive law that considers control signal saturation and delay. In practical experiments, the algorithm achieves good results on a challenging benchmark system.

IEEE TRANSACTIONS ON CYBERNETICS (2023)

Article Automation & Control Systems

Modelado y control del pH en la producción de microalgas en reactores raceway usando técnicas de adaptación de parámetros

Malena Caparroz et al.

Revista Iberoamericana de Automatica e Informatica Industrial (2023)

Article Green & Sustainable Science & Technology

Design and techno-economic analysis of direct CO2 capturing with integrated photobioreactors as a building fa?ade

Shaghayegh Vajdi et al.

Summary: This research investigates the techno-economic analysis of directly capturing carbon through microalgae cultivation in photobioreactors integrated into the building facade. The results show that the designed system produced 2.2 tons of microalgae and captured 3.9 tons of CO2 yearly. The sensitive analysis demonstrates that increasing cultivation capacity or changing the microalgae species can decrease the cost of microalgae production.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2023)

Article Automation & Control Systems

Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control

Sang Hwan Son et al.

Summary: We propose an improved offset-free model predictive control framework that combines the advantages of model-based and data-driven control strategies by learning and utilizing the intrinsic model-plant mismatch map. The map is approximated using artificial neural network modeling and a supplementary disturbance variable is introduced to handle transient state information. The proposed scheme effectively improves the closed-loop reference tracking performance of the control system.

JOURNAL OF PROCESS CONTROL (2022)

Article Biotechnology & Applied Microbiology

A novel tubular photobioreactor immersed in open waters for passive temperature control and operated with the microalga Tetradesmus obliquus

Leonard Francke et al.

Summary: A novel floating tubular photobioreactor with passive temperature control has been developed, which effectively reduces energy consumption and achieves stable microalgal growth and high biomass productivity.

ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS (2022)

Article Automation & Control Systems

Robust control of pH in a raceway photobiorreactor

Angeles Hoyo Sanchez et al.

Summary: This work presents a first approach to the robust control of pH in a raceway photobioreactor for the cultivation of microalgae. By modeling and designing a robust controller, satisfactory control results can be achieved under different working conditions and operating points.

REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL (2022)

Review Automation & Control Systems

Learning against uncertainty in control engineering

Mazen Alamir

Summary: This paper recalls and discusses several data-based control design options for addressing uncertainties in continuous-state engineering systems. The focus is on reinforcement learning, stochastic model predictive control, and certification via randomized optimization. It also shares some thoughts on the positioning of the control community in a data and AI-dominated era, highlighting suggestions and risks.

ANNUAL REVIEWS IN CONTROL (2022)

Article Chemistry, Multidisciplinary

ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters

Ana Sanchez-Zurano et al.

Summary: The study introduces a microalgae-bacteria consortia model for wastewater treatment, calibrated and validated using pig slurry. The model, implemented in MATLAB and calibrated using genetic algorithms, allows simulation of different components in the system for optimal wastewater treatment.

APPLIED SCIENCES-BASEL (2021)

Article Energy & Fuels

Modelling and pH Control in Raceway and Thin-Layer Photobioreactors for Wastewater Treatment

Maria Jose Rodriguez-Torres et al.

Summary: This study investigates the importance of pH control in microalgae-related processes and its impact on production system performance, comparing different types of reactors and control algorithms. The results highlight that using PI controllers can effectively improve pH control, enhancing overall production performance while reducing CO2 injection amounts.

ENERGIES (2021)

Review Automation & Control Systems

Tuning rules for feedforward control from measurable disturbances combined with PID control: a review

J. L. Guzman et al.

Summary: Feedforward control is a well-known control approach for dealing with measurable disturbances and is commonly used as a complement to PID control. Traditional design of feedforward control assumes perfect cancellation of disturbance signals, but in cases where this isn't achievable, static design solutions are typically implemented. Recent research has led to new feedforward control designs and simple tuning rules that significantly improve control system performance.

INTERNATIONAL JOURNAL OF CONTROL (2021)

Article Automation & Control Systems

Robust learning-based MPC for nonlinear constrained systems

Jose Maria Manzano et al.

AUTOMATICA (2020)

Article Automation & Control Systems

Linear active disturbance rejection control for a raceway photobioreactor

J. J. Carreno-Zagarra et al.

CONTROL ENGINEERING PRACTICE (2019)

Review Automation & Control Systems

Stochastic model predictive control with active uncertainty learning: A Survey on dual control

Ali Mesbah

ANNUAL REVIEWS IN CONTROL (2018)

Article Automation & Control Systems

Learning an Approximate Model Predictive Controller With Guarantees

Michael Hertneck et al.

IEEE CONTROL SYSTEMS LETTERS (2018)

Article Automation & Control Systems

Hierarchical control for microalgae biomass production in photobiorreactors

I. Fernandez et al.

CONTROL ENGINEERING PRACTICE (2016)

Article Automation & Control Systems

Distributed Sliding Mode Control of pH in Tubular Photobioreactors

Gustavo A. de Andrade et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2016)

Article Automation & Control Systems

Selective pH and dissolved oxygen control strategy for a raceway reactor within an event-based approach

A. Pawlowski et al.

CONTROL ENGINEERING PRACTICE (2015)

Article Automation & Control Systems

Adaptive receding horizon control for constrained MIMO systems

Marko Tanaskovic et al.

AUTOMATICA (2014)

Article Agricultural Engineering

Effective utilization of flue gases in raceway reactor with event-based pH control for microalgae culture

A. Pawlowski et al.

BIORESOURCE TECHNOLOGY (2014)

Article Biotechnology & Applied Microbiology

Comprehensive model of microalgae photosynthesis rate as a function of culture conditions in photobioreactors

T. A. Costache et al.

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY (2013)

Article Automation & Control Systems

Provably safe and robust learning-based model predictive control

Anil Aswani et al.

AUTOMATICA (2013)

Review Biotechnology & Applied Microbiology

Conversion of CO2 into biomass by microalgae: how realistic a contribution may it be to significant CO2 removal?

F. Gabriel Acien Fernandez et al.

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY (2012)

Article Automation & Control Systems

Distributed Linear-Quadratic Control of Serially Chained Systems Application to a Water Delivery Canal

Joao M. Lemos et al.

IEEE CONTROL SYSTEMS MAGAZINE (2012)

Article Automation & Control Systems

Model predictive control of pH in tubular photobioreactors

M Berenguel et al.

JOURNAL OF PROCESS CONTROL (2004)