The Perturbations Estimation in Two Gas Plants

Rubio, José de Jesús; Martínez, D.; García, Virgilio Bocanegra; Gutiérrez, Guadalupe Juliana; Vargas, Tomas Miguel; Ochoa, Genaro; Balcazar, Ricardo; Pacheco, Jaime; Meda-Campaña, J. A.; Mújica-Vargas, Dante

doi:10.1109/access.2020.2990388

Cited by 27 publications

(15 citation statements)

References 26 publications

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“…where N r = n*N. In general, ε 0 is added into the denominator of (14) to avoid singularities, where ε 0 is a positive arbitrary small constant. (iii) Layer 3.…”

Section: Structure Of Mcfnnmentioning

confidence: 99%

“…It is noteworthy that chattering phenomena caused by switching function will deteriorate the control performance. To suppress the chattering phenomena, the saturation function is utilised to replace the sign function [13][14][15][16]. However, it will lead to indefinite steady-state error under the condition that the inadequate boundary layer is chosen.…”

Section: Introductionmentioning

confidence: 99%

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Modified fuzzy neural network control using sliding mode technique for power quality improvement system with experimental verification

Hou

Chu

Fei

2020

IET Control Theory & Appl

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This study mainly focuses on the development of a second-order sliding mode-based meta-cognitive fuzzy neural network (MCFNN) control for power quality improvement, whereby an MCFNN is employed to learn modelling uncertainties. First, a second-order sliding mode control (SOSMC) is designed to track reference current for active power filter. Then, an MCFNN system with accurate approximation capability is further investigated to learn the unknown parts in SOSMC. Different from the existing predefined structure approaches, only necessary data can be extracted to adjust the structure and parameters of the networks in MCFNN. Subsequently, the Lyapunov stability analysis is presented to guarantee tracking performance and stability of the closed-loop system. Moreover, the excellent performance of the proposed MCFNN scheme is verified by simulation and experimental studies, and its remarkable characteristics are exhibited in comparison with other intelligent control schemes.

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“…where N r = n*N. In general, ε 0 is added into the denominator of (14) to avoid singularities, where ε 0 is a positive arbitrary small constant. (iii) Layer 3.…”

Section: Structure Of Mcfnnmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modified fuzzy neural network control using sliding mode technique for power quality improvement system with experimental verification

Hou

Chu

Fei

2020

IET Control Theory & Appl

View full text Add to dashboard Cite

show abstract

“…e proposed approach has some advantages over state-of-the-art methods, including the following: (1) it considers the available information of all components in the design procedure compared to [21][22][23]. erefore, the overall closed-loop stability is guaranteed theoretically through the Lyapunov stability theory [24][25][26][27][28][29]. (2) e design procedure of the proposed controller is simple and systematic compared to the other method [30,31].…”

Section: Introductionmentioning

confidence: 99%

A Linear Parameter Varying Control Approach for DC/DC Converters in All‐Electric Boats

et al. 2021

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Utilization of renewable energies in association with energy storage is increased in different applications such as electrical vehicles (EVs), electric boats (EBs), and smart grids. A robust controller strategy plays a significant role to optimally utilize the energy resources available in a power system. In this paper, a suitable controller for the energy resources of an EB which consists of a 5 kW solar power plant, 5 kW fuel cell, and 2 kW battery package is designed based on the linear parameter varying (LPV) controller design approach. Initially, all component dynamics are augmented, and by exploiting the sector-nonlinearity approach, the LPV representation is derived. Then, the LPV control method determines the suitable gains of the states’ feedbacks to provide the required pulse commands of the boost converters of the energy resources to regulate the DC-link voltage and supply the power of EB loads. Comparing with the state-of-the-art nonlinear control methods, the developed control approach assures the stability of the overall system, as it considers all component dynamics in the design procedure. The real-time simulation results demonstrate the performance of the designed controller in the creation of a constant DC-link voltage.

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“…erefore, observers have also been widely used in fault detection and diagnosis [21,22]. erefore, the observer design problem is of important practical significance and has been extensively investigated in the literature; see [23][24][25][26], just to name a few. In the past decades, many significant results have been reported on observer design for descriptor systems.…”

Section: Introductionmentioning

confidence: 99%

Robust Observer Design for Discrete Descriptor Systems with Packet Losses

et al. 2021

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This paper considers observer design for discrete-time descriptor systems with packet losses. By taking packet loss into consideration, the error dynamic of the proposed observer becomes a stochastic switched system. Consequently, the proposed observer is synthesized in a stochastic switched system framework. Sufficient conditions for the stochastic stability with a prescribed robust performance of the error dynamic system are derived and converted into linear matrix inequalities. Not only can the proposed observer deal with packet losses, but it also attenuates the effect of process disturbance and measurement noise. A numerical simulation of a truck-trailer is given to demonstrate the effectiveness of the proposed method.

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The Perturbations Estimation in Two Gas Plants

Cited by 27 publications

References 26 publications

Modified fuzzy neural network control using sliding mode technique for power quality improvement system with experimental verification

Modified fuzzy neural network control using sliding mode technique for power quality improvement system with experimental verification

A Linear Parameter Varying Control Approach for DC/DC Converters in All‐Electric Boats

Robust Observer Design for Discrete Descriptor Systems with Packet Losses

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