Enhanced Model-Free Discrete-Time Adaptive Terminal Sliding-Mode Control for SOFC Power Plant with Input Constraints

Abbaker, Omer; Wang, Haoping; Tian, Yang

doi:10.1007/s13369-021-05835-w

Cited by 8 publications

(1 citation statement)

References 47 publications

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“…Recent studies have confirmed that the utilization of the SMC technique is a proper strategy for effectively addressing uncertainty in a controlled system [24], [25]. The main advantage of SMC is that the controlled system demonstrates robustness characteristics concerning both external and internal perturbation, even without prior knowledge of the system dynamics [26].…”

Section: Introductionmentioning

confidence: 96%

Optimal α-Variable Model-Free Adaptive Barrier Function Fractional Order Nonlinear Sliding Mode Control for Four Area Interconnected Hybrid Power System With Nonlinearities

Abbaker Ahmed Mohammed,

Peng,

Abdullah Amran

et al. 2024

IEEE Access

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This paper proposes an optimal α-variable model-free adaptive barrier-function fractionalorder nonlinear sliding mode control (α(t)-MF-ABFFONSMC) for the load frequency control (LFC) problem of a four-area interconnected hybrid power system with boiler dynamics and physical constraints. The proposed α(t)-MF-ABFFONSMC is comprised of the ultra-local model (ULM)-based sliding mode disturbance observer (SMDO), proportional-differential (PD) controller, and adaptive barrier-function fractional-order nonlinear sliding mode control (ABFFONSMC). The ULM mechanism is utilized to reformulate the complex four-area interconnected hybrid power system so as to reduce the controller's design complexity, wherein SMDO is utilized to observe and eliminate the uncertain dynamics or lumped disturbance. Then, the SMDO based-iPD controller is designed. However, there always exists non-null estimation error under the SMDO method and the control performance cannot be ensured. Therefore, the ABFFONSMC is proposed and inserted into the SMDO-iPD controller to avoid the impact of estimation error and improve the control performance. In addition, an adaptive gain based on barrier function is formulated to approximate the upper bound of SMDO's estimation error and thus decrease the undesired chattering on the sliding surface. Correspondingly, the α(t)-MF-ABFFONSMC is established. Moreover, the parameter optimizer based on the Marine Predator Algorithm (MPA) is proposed to tune the parameters of the proposed α(t)-MF-ABFFONSMC controller. Furthermore, using the Lyapunov theorem, the stability of α(t)-MF-ABFFONSMC via a closed-loop system is verified. To validate the performance of the proposed controller, the numerical simulation on a four-area interconnected hybrid power system is carried out in a Matlab/Simulink environment. The corresponding simulation results are presented to show the superiority and effectiveness of the proposed technique.INDEX TERMS Load frequency control, ultra-local model, adaptive barrier-function, nonlinear sliding mode control, sensitivity analysis.

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Section: Introductionmentioning

confidence: 96%

Optimal α-Variable Model-Free Adaptive Barrier Function Fractional Order Nonlinear Sliding Mode Control for Four Area Interconnected Hybrid Power System With Nonlinearities

Abbaker Ahmed Mohammed,

Peng,

Abdullah Amran

et al. 2024

IEEE Access

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Voltage and Fuel Utilization Control Strategy for Solid Oxide Fuel Cell Based on Active Disturbance Rejection Control

Lei,

Guan,

Liu

et al. 2024

Fuel Cells

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Solid oxide fuel cell (SOFC) systems have become a research focus because of their clean and high‐efficiency properties. Control of output voltage and fuel utilization is critical to the energy management for multi‐energy systems incorporating SOFC energy supply. However, maintaining precise control of the system's voltage in the presence of perturbations can be challenging. Moreover, the system's voltage control process can lead to fuel utilization fluctuations, which may affect the economy and safety. The design of the controller must meet both of these requirements. The stringent control requirements lead to poor parameter adaptability of existing controllers. This paper designs a nonlinear function and adopts a nonlinear/linear active disturbance rejection controller (ADRC) based on state switching to solve the output voltage tracking control problem of SOFC and maintain the fuel utilization rate in the ideal range. The simulation experimental results show that the proposed method has the advantages of strong and superior parameter adaptability with less control effort, which provides theoretical guidance for the design of the output voltage controller of the actual SOFC system.

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Disturbance Observer-Based-Model-Free Adaptive Fuzzy Fractional-Order Prescribed Performance Control for Nonlinear PEMFC System with Uncertainties and Performance Constraints

Mohammed,

Peng,

Hamid

et al. 2024

Int. J. Fuzzy Syst.

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Enhanced Model-Free Discrete-Time Adaptive Terminal Sliding-Mode Control for SOFC Power Plant with Input Constraints

Cited by 8 publications

References 47 publications

Optimal α-Variable Model-Free Adaptive Barrier Function Fractional Order Nonlinear Sliding Mode Control for Four Area Interconnected Hybrid Power System With Nonlinearities

Optimal α-Variable Model-Free Adaptive Barrier Function Fractional Order Nonlinear Sliding Mode Control for Four Area Interconnected Hybrid Power System With Nonlinearities

Voltage and Fuel Utilization Control Strategy for Solid Oxide Fuel Cell Based on Active Disturbance Rejection Control

Disturbance Observer-Based-Model-Free Adaptive Fuzzy Fractional-Order Prescribed Performance Control for Nonlinear PEMFC System with Uncertainties and Performance Constraints

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