Linear active disturbance rejection control for a raceway photobioreactor

Carreño-Zagarra, J.J.; Guzmán, José Luís; Moreno, José Carlos; Villamizar, Rodolfo

doi:10.1016/j.conengprac.2019.02.007

Cited by 35 publications

(13 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…En base a estas características, el problema de control del pH ha suscitado un gran interés en la comunidad científica existiendo numerosos resultados tanto para fotobioreactores abiertos como cerrados. Es posible encontrar soluciones basadas control todo/nada (Pawlowski et al, 2017), control PID (Fernández et al, 2010), control predictivo (Berenguel et al, 2004;Hoyo et al, 2019b), control en modo deslizante (de Andrade et al, 2016b), control basado en eventos (Pawlowski et al, 2014;, control robusto (Hoyo et al, 2018) o control con rechazo activo de perturbaciones (Carreño-Zagarra et al, 2019). En losúltimos trabajos desarrollados, el control basado en eventos ha presentado un resultado muy satisfactorio permitiendo un balance adecuado entre rendimiento de control y reducción de costes y/o pérdidas al medioambiente.…”

Section: Otros Modelosunclassified

Modelado y control de la producción de microalgas en fotobiorreactores industriales

Guzmán

Acién

Berenguel

2020

Rev. iberoam. autom. inform. ind.

View full text Add to dashboard Cite

<p>Este artículo presenta una visión general sobre el proceso de producción de microalgas desde un punto de vista de modelado y control de procesos. En primer lugar se exponen las ventajas y el potencial de este tipo de microorganismos, así como los distintos tipos de reactores que se suelen utilizar para su producción. Posteriormente, se analiza el comportamiento dinámico de este tipo de procesos, el cual es muy complejo y cambiante debido a variaciones en las condiciones ambientales tanto diarias como anuales, y se presentan los distintos balances que permiten describir la evolución de las principales variables del sistema. Se exponen distintos tipos de modelos a nivel biológico y a nivel estructural que han sido validados a escala industrial. Tras analizar su comportamiento dinámico, se motivan los distintos problemas de control existentes en este tipo de sistemas y se resume una amplia batería de estrategias de control que han sido evaluadas con éxito en fotobiorreactores industriales. Finalmente, se concluye el trabajo con un balance de los aspectos más importantes expuestos a lo largo del mismo.</p>

show abstract

Section: Otros Modelosunclassified

Modelado y control de la producción de microalgas en fotobiorreactores industriales

Guzmán

Acién

Berenguel

2020

Rev. iberoam. autom. inform. ind.

View full text Add to dashboard Cite

show abstract

“…In the literature, different strategies have been used to manipulate the CO 2 in order to regulate pH in photobioreactors. From single on-off controllers [10] to predictive control algorithms, [11]- [14], event-based control approaches, [15]- [17], model-free solutions [18], PID with feedforward controllers [19], PID with filter for robustness using dynamic compensation based on Wiener Models controllers [20], and Active Disturbance Rejection Controllers (ADRC) [21]. The non-linear dynamic and the presence of actuator saturation (due to the use of a valve for CO 2 injection) for this process suggest the use of advanced control strategies.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of an Interpolated Controller in an Industrial Photobioreactor

et al. 2021

View full text Add to dashboard Cite

Nowadays, some of the most important challenges to society are focused on the use of renewable energies, mitigation of greenhouse-type gases and residual treatment. Microalgae are becoming one of the most powerful solutions to contribute to these problems. So, industrial facilities have been developed in the last decades to produce this type of microorganisms. However the dynamics of these systems is very complex, and advanced models and control strategies are required. The Interpolating Control is a novel technique with capacity to deal with state and control constraints with low computational burden, being suitable to be applied in this type of processes. This technique has been used in the literature to control simulated or laboratory scale systems. This paper shows the operation results for a Interpolated Controller in an industrial raceway photobioreactor to contribute in the control of these real processes.

show abstract

“…By constructing an ESO, the 'total disturbance' is estimated and compensated in real time, so strong disturbance rejection ability may be achieved [1]. In the past 20 years, ADRC has been widely used in the fields of electromechanical system, power generation process, chemical process, etc [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Tuning of Linear Active Disturbance Rejection Controllers Based On Step Response Curves

Cui

Tan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Most of the controlled plants in the industrial field are complex in structure and the models are difficult to obtain, thus tuning of the controller parameters without a detailed model is critical in practice. This paper proposes a specific parameter tuning formula for second-order linear active disturbance rejection controller (LADRC) based on step response curves of the controlled plant. The proposed tuning formula is only related to the two special points on the step response curve of the plant. Simulation results for a wide range of systems show that the proposed method can achieve satisfactory performance in disturbance rejection and robustness, and the Bode plots show that this tuning method also performs well in noise suppression. The effect is also verified with a practical heater temperature control experiment.

show abstract

Linear active disturbance rejection control for a raceway photobioreactor

Cited by 35 publications

References 33 publications

Modelado y control de la producción de microalgas en fotobiorreactores industriales

Modelado y control de la producción de microalgas en fotobiorreactores industriales

Evaluation of an Interpolated Controller in an Industrial Photobioreactor

Tuning of Linear Active Disturbance Rejection Controllers Based On Step Response Curves

Contact Info

Product

Resources

About