Predictive Active Disturbance Rejection Control for Insulin Infusion in Patients with T1DM

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

doi:10.1016/j.ifacol.2019.11.035

Cited by 2 publications

(2 citation statements)

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“…In [32], equivalence between the ADRC and flatnessbased controllers was presented. Combining Equations ( 9), ( 10), (11), and (19) results in a feedback controller with the following transfer function:…”

Section: B Optimization Problem For Controller Parametersmentioning

confidence: 99%

“…Thus far, Active Disturbance Rejection Control (ADRC) has found widespread applications in various fields, including the control of robotic systems [8]- [10], energy systems [11], [12], autonomous vehicles [13], the chemical industry [14]- [16], civil engineering [17], and biomedical systems [18], [19]. ADRC has demonstrated its broad value in commercial applications, such as the InstaSPIN-MOTION motor control solution developed by Texas Instruments, which incorporates ADRC for high-performance control [20].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Active Disturbance Rejection Control for Second Order Systems

Carreño-Zagarra,

Moreno,

Guzmán

2024

IEEE Access

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This study addresses the control of second-order dynamic systems in the presence of uncertainties and disturbances using an optimized Active Disturbance Rejection Control (ADRC) approach. To achieve practical implementation, a Reduced-Order Generalized Proportional Integral (GPI) observer is introduced to estimate potentially time-varying grouped disturbances within a second-order system The optimized ADRC method is developed by incorporating the information generated by the reducedorder GPI Observer (GPIO) into the output prediction. This approach aims to achieve an optimal tracking performance, particularly in scenarios characterized by disturbances and uncertainties. For numerical validation, simulations were conducted on three distinct second-order system models: a power converter, Direct Current (DC) motor, and nonlinear two-tank system. The simulation results underscore the robustness of the proposed control solution compared to a Proportional Integral Derivative (PID) controller designed using the pole assignment method and a traditional GPI controller. The proposed ADRC approach ensures precise reference tracking even in the presence of disturbances and parametric uncertainty, thereby demonstrating its effectiveness in practical applications.

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Section: B Optimization Problem For Controller Parametersmentioning

confidence: 99%