Deviations Of Parameters Research Articles

Taking into account the random function of parameter deviation in predicting the reliability of equipment

In article the question on forecasting of reliability of the equipment is considered. The characteristics infl uencing change of technical condition and reliability of the car (system) are analysed. Infl uence of stochastic function on a deviation of the actual values of parameter of technical condition is considered and the solution on her account is proposed.

High-performance passive impedance network model for grid-tie inverters in steady state

Nowadays, the high penetration of inverter-interfaced distributed energy resources (DERs) has raised a well-founded concern regarding the interaction of these devices with the upstream grid. The harmonic interaction phenomenon between these players can be described by time-domain simulations, using high computational effort switched and/or average models often impractical for large power systems. This paper proposes an innovative low-computational-burden model named passive impedance network (PIN), capable of accurately representing DERs in electric power systems (EPSs). Through passive RLC components, the PIN model can describe DER dynamic behavior at a certain frequency of interest, making it able to represent harmonic flow within the EPS nodes. The proposed model is compared with the switched model, average model, and an experimental setup under different grid distortions and injected current profiles. A comparison of the total demand distortion (TDD) between the proposed PIN model and the experimental results is carried out. The effect of DER parameter deviations on PIN model accuracy is addressed, in which the absolute error of the PIN model TDD values are 0.65% and 0.06% for the experimental and switched model, respectively. Besides, the PIN model presents an improved computational performance compared to the time-domain-based switching model, requiring 99% less computational burden.

Changes in hematological parameters when using silver preparations in laboratory ICR mice infected with the Newcastle disease virus

The results of blood tests are important indicators for assessing and monitoring the health status, adaptation processes and metabolic states of the body. Currently, there is insufficient data on the effect of the Newcastle disease virus on peripheral blood parameters in animals, and there is also no information on changes in these parameters during Newcastle disease and the simultaneous use of silver preparations in animals. Although the mechanisms of the antiviral action of silver nanoparticles are not yet fully studied, researches show their effectiveness. The purpose of research was to study changes in hematological parameters with using silver preparations in laboratory ICR mice infected with Newcastle disease virus. The object of the study was the blood of laboratory ICR mice, infected with the Newcastle disease virus, and healthy ones as a control, and also silver preparations: Argosil and ArgovitMaxi. As a result of hematological studies, a significant effect of the Newcastle disease virus on hematological parameters was established. Deviations of the main blood parameters in infected animals were demonstrated: there was an increase in the content of granulocytes, the number of erythrocytes, the hemoglobin content and hematocrit; the number of lymphocytes and the average erythrocytes volume were reduced. It was also found that the use of the preparation Argosil significantly reduces the content of monocytes in ICR mice against the background of Newcastle disease viral infection. The use of the preparation Argovit significantly affects the decrease in monocytes and erythrocyte blood parameters: it increases the number of erythrocytes, hemoglobin, hematocrit, and reduces the average hemoglobin content in an erythrocyte, the average hemoglobin concentration in an erythrocyte.

A novel fluorescence sensor film for hydroquinone based on a graphene quantum dots-nano activated carbon composite

A novel film sensor, composed of graphene quantum dots-nano activated carbon, chitosan, and PVA, offers a simple and effective hydroquinone (HQ) detection. This film exhibits impressive HQ adsorption under ambient conditions (room temperature, pH 7, 3 h) and utilizes a readily observable fluorescence color change for quantification. Upon HQ binding, the film's fluorescence color shifts from yellow-green to blue, enabling a linear detection range of 1.0–150 mg⋅L−1 based on intensity analysis of the blue component (B value). Calibration curves generated on the same day (n = 3) exhibit high precision, with standard deviations of the linear equation parameters below 0.014 and a low detection limit of 0.5 mg⋅L−1. The film exhibits exceptional stability, retaining its color and performance for up to 20 days. This stability is further corroborated by recovery experiments utilizing HQ-spiked water samples at concentrations of 2.5 mg⋅L−1 and 40 mg⋅L−1, where recoveries of 106 % and 95 % were achieved, respectively. These results demonstrated the sensor's reliable quantification capabilities. Notably, the sensor exhibited insignificant interference from commonly co-existing substances such as ethanol, ascorbyl glucoside, arbutin, kojic acid, and methylene blue. However, Cu²⁺, Fe³⁺, and catechol did cause some interference. This versatility, coupled with its straightforward operation, makes the film sensor a promising candidate for on-site HQ detection in diverse environmental monitoring applications.

Effect of strut microstructure on multiscale radiation properties of porous foams

Porous materials, widely used in engineering due to their excellent physical properties, have significant engineering and academic research value in their mechanism of radiation heat transfer. Micro-cellular foams are composed of a large number of struts and walls with micro-scale radiation effect, making it difficult to analyze the influence of strut micro-structure on radiation properties. In this study, the radiation parameters of the curved triangular prism-shaped struts are calculated using the finite element electromagnetic method, and the influence of the strut micro-structure parameters and the macroscopic parameters of the foam on the radiation characteristics is analyzed. The results demonstrate that the radiation properties of the equal-volume cylinder model, compared to the double-layer cylinder model, are closer to those of the curved triangular prism struts. The incidence angle has a negligible impact on the radiation parameter deviation of the struts. It is difficult to ignore the radiation parameter deviation of concave-curved triangular prism-shaped struts. The macroscale radiation properties of the foam are significantly influenced by the microscale radiation properties of the struts in the situation of low porosity, large pore size, and high strut volume ratio.

X-ray Single-Crystal Analysis, Pharmaco-Toxicological Profile and Enoyl-ACP Reductase-Inhibiting Activity of Leading Sulfonyl Hydrazone Derivatives

Taking into consideration the growing resistance towards currently available antimycobacterials, there is still an unmet need for the development of new chemotherapeutic agents to combat the infectious agents. This study presents X-ray single-crystal analysis to verify the structure of leading sulfonyl hydrazone 3b, which has proven its potent antimycobacterial activity against Mycobacterium tuberculosis H37Rv with an MIC value of 0.0716 μM, respectively, low cytotoxicity, and very high selectivity indexes (SI = 2216), and which has been fully characterized by Nuclear Magnetic Resonance (NMR) and High-Resolution Mass Spectrometry (HRMS) methods. Furthermore, this study assessed the ex vivo antioxidant activity, acute and subacute toxicity, and in vitro inhibition capacity against enoyl-ACP reductase of hydrazones 3a and 3b, as 3a was identified as the second leading compound in our previous research. Compared to isoniazid, compounds 3a and 3b demonstrated lower acute toxicity for intraperitoneal administration, with LD50 values of 866 and 1224.7 mg/kg, respectively. Subacute toxicity tests, involving the repeated administration of a single dose of the test samples per day, revealed no significant deviations in hematological and biochemical parameters or pathomorphological tissues. The compounds exhibited potent antioxidant capabilities, reducing malondialdehyde (MDA) levels and increasing reduced glutathione (GSH). Enzyme inhibition assays of the sulfonyl hydrazones 3a and 3b with IC50 values of 18.2 µM and 10.7 µM, respectively, revealed that enoyl acyl carrier protein reductase (InhA) could be considered as their target enzyme to exhibit their antitubercular activities. In conclusion, the investigated sulfonyl hydrazones display promising drug-like properties and warrant further investigation.

A closed-loop calibration method for serial robots based on position constraints and local area measurement

This paper presents a cost-effective and efficient closed-loop calibration method to enhance the absolute positioning accuracy of industrial robots. The method utilizes an economical and highly accurate set of simple measurement devices, including a device mounted on the robot's end effector and a spherical constraint device positioned within the robot's workspace. A novel local area measurement method is employed for the spherical constraint device, effectively converting position errors into the errors in the sphere center position of the constraint device. Furthermore, the error model considers both kinematic parameter deviations of the robot itself as well as those of the measurement device, along with non-kinematic errors caused by link self-weight. The closed-loop calibration model relies on position constraints, enabling identification and compensation of all error parameters using Levenberg Marquardt method after substituting measured data. The effectiveness of this proposed method is demonstrated through simulation and experimentation. In simulations, average position error reduces from 8.249 mm to 0.8384 mm, while absolute mean difference in sphere center positions obtained using our measurement equipment decreases from 1.206 mm to 0.1027 mm. Significant reductions in both position error and difference in sphere center position are indicated after calibration. This proves that the absolute mean value of the sphere center position difference can be used as the basis for judging the size of the robot's end position error. Experimental results show that absolute mean difference in sphere center position decreases from 0.4319 mm to 0.02869 mm, leading to substantial improvement in overall positioning accuracy.

Modeling spatiotemporal temperature dynamics of large-format power batteries: A multi-source information fusion approach

Uneven temperature distributions can significantly impact battery performance and cycle life. Industrial applications, in particular, where unknown disturbances and limited sensors exist, pose significant challenges for accurately estimating the battery temperature field. This work proposes a multi-source information fusion framework for capturing the spatiotemporal temperature dynamics of pouch-type Lithium-ion batteries. First, we develop a system model of the battery thermal process based on physical insights, considering unknown parameter deviations and unmodeled dynamics. Next, we use the Galerkin-spectral method to expand the spatiotemporal variable and reduce the original infinite-dimensional system to a low-order model containing the most important system modes. The unknown component of the model is then entirely stripped and integrated into a nonlinear term. To close the reality gap of the physics-based model, we subsequently develop an error compensation model that learns the dynamic behavior from sparse observations. Ultimately, our framework design yields a fusion-driven model for reliable temperature field prediction. Simulations and experimental data validate the superior performance and generalization capability of the proposed method.

Assessment of articulation parameters settings repeatability in Avantis 3D software

BACKGROUND: The three-dimensional (3D) space of a virtual articulator requires precise adjustment considering individual parameters for the precision work of orthopedic dentists, orthodontists, and dental technicians. A modern solution that includes a virtual articulator is the domestic Avantis 3D software, which simplifies and speeds up functional diagnostics by creating a 3D scene of the patient. AIM: To compare a repeatability of articulation parameters obtained when adjusting the domestic virtual articulator Avantis 3D using laboratory and intraoral scans of terminal positions of the lower jaw. MATERIALS AND METHODS: A group of 30 volunteers aged 18–35 years participated in this study. The group consisted of 18 women and 12 men. Each participant underwent a computed tomography of the maxillofacial region, including the temporomandibular joint region in a state of habitual occlusion; one-stage A-silicone impressions were obtained, plaster models were cast, and silicone bite registers of three terminal positions were made. An intraoral scan of the upper and lower jaws was performed, and optical bite scans were obtained in the position of maximum fissure-tubercle contact and in the terminal positions of the lower jaw, fixed by previously obtained silicone registers. The same protocol was conducted for plaster models of the patient’s dentition and silicone registers of terminal positions. Using intraoral scans, optical recorders of terminal positions and computer tomograms in the Avantis 3D program and 3D scenes were created, and a virtual articulator was configured. For each patient, the virtual articulator was adjusted in the Avantis 3D software, seven times using data from the intraoral scanner level and seven times from the laboratory level. The reproducibility of articulatory parameters was assessed for all types of scans obtained, examining the standard and individual intercondylar distances for each patient. RESULTS: The average values of the standard square deviation of articulatory parameters obtained when creating 3D scenes using laboratory scans at individual and standard intercondylar distances were higher than the similar values obtained using intraoral scans. CONCLUSION: The accuracy of creating a virtual copy of a patient can be influenced by several factors: the error in combining scans, repeated scanning, the error in combining scans and computer tomograms, the error in combining jaw and bite scans, and the presence of penetrating occlusal contacts between scans of the dentition.

METHOD OF ASSESSING THE CHANGE IN DESIGN PARAMETERS OF PRECISION ROTARY SYSTEMS BY THE PHASE SHIFT OF THE VIBRATION STATE

The article examines the issue of precision rotary systems (PRS) and the relationship between their dissipative characteristics and changes in design parameters, which is applicable for assessing the quality of their assembly and diagnosing objects in general. We identified a dynamic model, the dissipative parameters of which sufficiently accurately reflect the local properties of the structure. The question of assessing the quality of assembly by dissipative parameters comes down to the choice of the diagnostic sign that is most suitable for this case and the method of its measurement. Such a sign is a phase shift between the disturbance force and the vibration velocity. From this point of view, phase-frequency measurement methods are generally more accurate, which allows using the advantages of precise hardware methods to obtain information to the fullest extent. The proposed variation ratio, which connects the changes in a real object’s phase vector of the mechanical impedance (PVMI) and the deviation of the dissipative parameters of its mathematical model, makes it possible to diagnose the dissipative parameters with a sufficient accuracy degree. The considered numerical example of a partial assembly of precision rotary systems confirms the accuracy of the calculation. Thus, the proposed variation ratio, which connects the changes in the PVMI of a real object and the deviation of the dissipative parameters of its mathematical model, allows for the diagnosis of the dissipative parameters with a sufficient accuracy degree. The considered numerical example of a partial assembly of the PRS confirms the accuracy of the calculation. This fact is of particular importance in manufacturing aviation and space technology products. We should also note that the existing analysis methods do not provide an opportunity to form an idea about the nature of the total measured signal and its structure. Therefore, the work solves the task of developing a method for diagnosing the controlled technical condition of a rotary electromechanical system based on the selection of the most informative ranges of the output signal to increase the reliability of diagnosis. Keywords: oscillatory system, dissipative properties, mathematical model, phase angle, impedance, sensitivity matrix.

METHOD OF ASSESSING THE CHANGE IN DESIGN PARAMETERS OF PRECISION ROTARY SYSTEMS BY THE PHASE SHIFT OF THE VIBRATION STATE

The article examines the issue of precision rotary systems (PRS) and the relationship between their dissipative characteristics and changes in design parameters, which is applicable for assessing the quality of their assembly and diagnosing objects in general. We identified a dynamic model, the dissipative parameters of which sufficiently accurately reflect the local properties of the structure. The question of assessing the quality of assembly by dissipative parameters comes down to the choice of the diagnostic sign that is most suitable for this case and the method of its measurement. Such a sign is a phase shift between the disturbance force and the vibration velocity. From this point of view, phase-frequency measurement methods are generally more accurate, which allows using the advantages of precise hardware methods to obtain information to the fullest extent. The proposed variation ratio, which connects the changes in a real object’s phase vector of the mechanical impedance (PVMI) and the deviation of the dissipative parameters of its mathematical model, makes it possible to diagnose the dissipative parameters with a sufficient accuracy degree. The considered numerical example of a partial assembly of precision rotary systems confirms the accuracy of the calculation. Thus, the proposed variation ratio, which connects the changes in the PVMI of a real object and the deviation of the dissipative parameters of its mathematical model, allows for the diagnosis of the dissipative parameters with a sufficient accuracy degree. The considered numerical example of a partial assembly of the PRS confirms the accuracy of the calculation. This fact is of particular importance in manufacturing aviation and space technology products. We should also note that the existing analysis methods do not provide an opportunity to form an idea about the nature of the total measured signal and its structure. Therefore, the work solves the task of developing a method for diagnosing the controlled technical condition of a rotary electromechanical system based on the selection of the most informative ranges of the output signal to increase the reliability of diagnosis. Keywords: oscillatory system, dissipative properties, mathematical model, phase angle, impedance, sensitivity matrix.

Analysing Spatiotemporal Variability of Chlorophyll-a Concentration and Water Surface Temperature in Coastal Lagoons of the Ebro Delta (NW Mediterranean Sea, Spain)

Coastal lagoons are highly productive transitional water bodies threatened by human factors and vulnerable to global climate change effects. Monitoring biophysical parameters in these ecosystems is crucial for their preservation. In this work, we used Sentinel-2 and Landsat imagery combined with in situ data to (1) develop preliminary algorithms for retrieving the Chl-a concentration and water surface temperature of six lagoons located in the Ebro Delta (NE Mediterranean Sea, Spain), and to (2) compute maps and trend lines for analysing their spatiotemporal evolution from 2015 to 2022. Our findings showed that the algorithms’ accuracy ranged from 72% to 78% and had limited potential under high Chl-a concentration regimes. Even so, they revealed the lagoons’ trophic status, usual fluctuations, and deviations of both parameters attributed to seasonal (i.e., light and temperature) and short-term physical (i.e., winds) forcing, as well as valuable spatial patterns potentially useful for conservation efforts and land use planning. Future work will focus on the acquisition of a larger in situ data sample under a range of environmental conditions to improve the algorithms’ robustness, which in turn will allow the investigation of natural and human factors controlling the dynamics of the two investigated parameters.

СУЧАСНІ ТЕНДЕНЦІЇ РОЗВИТКУ СИСТЕМ КОМПЕНСАЦІЇ РЕАКТИВНОЇ ПОТУЖНОСТІ

This paper surveys current trends and developments in reactive power compensation systems, elucidating their significance in enhancing system capacity and flexibility. By analyzing the capacity factor enhancement enabled by reactive power compensation, the study underscores its role in optimizing electricity delivery, thus conserving energy resources and facilitating the integration of renewable energy sources. It explores the key models and concepts driving advancements in reactive power compensation within power grids. As modern electrical systems grow in complexity, ongoing research into improving compensation methods becomes imperative to ensure the reliability and efficiency of industrial power grids. Future endeavors will involve developing a model utilizing real-world enterprise data to investigate the effects of technological variations in filter parameters on the performance of complex reactive power compensation schemes, encompassing both filters and capacitor banks. Keywords: reactive power, compensation systems, filter-compensating circuit, industrial power grid, electric power. Context. The paper considers the current trends used in the field of reactive power compensation, and the main directions of development of modern methods of reactive power compensation. Objective. The purpose of the work is to overview of current trends in the development of reactive power compensation systems, as well as an overview of possible ways of their effective application in various industrial networks. Methods. The paper presents a key aspect of reactive power compensation is its ability to increase system capacity and flexibility. By improving the capacity factor, utilities can deliver electricity more efficiently, reducing the need for excess capacity and thus conserving energy resources. In addition, this process plays an important role in supporting the integration of renewable energy sources such as wind and solar power, which often introduce volatility into electricity generation schemes. Results. The paper presents the main models and concepts in the field of reactive power compensation in power grids. Conclusions. Given the growing complexity of modern electrical systems, it is important to continue research into improving methods and means of reactive power compensation to ensure the reliability and efficiency of industrial power grids. In further research, it is planned to develop a model using a real enterprise as an example and investigate the impact of technological deviations of filter parameters on the steady-state and transient performance of complex reactive power compensation schemes, including not only filters but also capacitor banks.

Coping with the uncertainties of make-to-order production: a new approach for determining reliable delivery times with the throughput diagram

Make-to-order companies have to deal with particular uncertainties in their offer processing. At the early stage of planning offers, it is particularly uncertain 1) which open offers will be accepted by customers and 2) what capacity these will require. Therefore, it is particularly challenging for make-to-order companies to determine and keep to binding delivery times, so that many companies have problems achieving a high delivery reliability. In this paper, we show a simple model-based procedure to determine delivery times using the throughput diagram with early available information such as the offer requests in the planning process. Simulation studies show that the procedure, especially in combination with a CONWIP order release and an EODD sequencing rule, achieves a high delivery reliability without sacrificing other logistic objectives such as utilisation. Furthermore, the procedure proves to be very robust against random deviations of the planning parameters.

Design method for lens desensitization adapted to refractive index error

The design of optical systems not only considers the imaging performance but also the manufacturing difficulty and feasibility of the system. In practice, errors in the manufacturing process of glass materials and deviations in glass material parameters introduced in complex environments can both lead to degradation in the imaging quality of optical systems. Optical systems that are sensitive to glass material errors face increased manufacturing difficulty and reduced stability. This paper, based on geometrical optics theory, establishes an evaluation function for refractive index error sensitivity and analyzes its relationship with optical parameters and glass materials. It proposes a design method to reduce the refractive index sensitivity of optical systems. Through simulation verification and analysis using examples, the validity of the desensitization design method is confirmed.

Reliability assessment and electromagnetic controller for semi-active impact damper in structural vibration control

This study proposes a semi-active controller for impact dampers to address the challenge of achieving ideal impacts that occur exclusively when the structure reaches to its equilibrium position. The control effectiveness and reliability of the semi-active impact damper (SAID) both over time and with parameter variations are assessed and compared with passive impact dampers. Furthermore, the performance of SAID under deviations from the ideal control strategy is investigated, considering three types of non-ideal impact time and friction effects. The mathematical solution for the ideal control strategy is derived, and a strong positive correlation is found between control efficiency and SAID parameters through theoretical analysis and numerical simulation. The corresponding suggestions are provided for addressing parameter variations and deviations from ideal control strategy of SAID. Based on the investigation of extended impact conditions, a feasible SAID controller configuration with adjustable gap clearance is proposed, effectively addressing time lag issues. Experimental results validate the numerical method and practical implementation of the proposed electromagnetic controller for SAID, which can efficiently control structural responses under random low-frequency excitations such as earthquakes.

Influence of Parameter Deviations Vis-à-Vis Assignment Schedule on Thermally Stressed State of Main Thermal Power Plant Equipment

Influence of Parameter Deviations Vis-à-Vis Assignment Schedule on Thermally Stressed State of Main Thermal Power Plant Equipment

Parallax Effect in Microlensing Events Due to Free-floating Planets

One of the most important applications of microlensing observations is the detection of free-floating planets (FFPs). The timescale of microlensing due to FFPs (t E) is short (a few days). Discerning the annual parallax effect in observations of these short-duration events due to FFPs by one observer is barely possible, though their parallax amplitude is larger than that in common events. In microlensing events due to FFPs, the lens–source relative trajectory alters because of the observer’s motion by δ u . This deviation is a straight line as long as t E ≪ P ⊕, and its size is δ u ∝ π rel (P ⊕ is the observer’s orbital period). So, most observed microlensing events due to close FFPs have simple Paczyńsky light curves with indiscernible but important parallax. To evaluate the destructive effects of invisible parallax in such events, we simulate ∼9650 microlensing events due to FFPs with t E < 10 days that are observed only by the Nancy Grace Roman Space Telescope (Roman). We conclude that in half of these microlensing events the missing parallax alters the real light curves, changing their shape and derived properties (by Δχ 2 ≳ 100). By fitting Paczyński light curves to these affected events we evaluate the relative and dimensionless deviations in the lensing parameters from their real values (δ t E, δ ρ ⋆, ...). We conclude that around 46 FFPs that are discovered by Roman have light curves highly affected by invisible parallax with δ t E > 0.1 and δ ρ ⋆ > 0.1. Our study reveals the importance of simultaneous and dense observations of the same microlensing events viewed by Roman by other observers circling the Sun in different orbits.

Analysis of Natural Antibodies during the Development of Phantom Pain Syndrome.

We determined natural antibodies (n-Abs) to the regulators of the main systems of biochemical homeostasis: β-endorphin, serotonin, dopamine, histamine, orphanin, angiotensin, GABA, glutamate, bradykinin, vasopressin, thrombin, and α-2-macroglobulin in individuals with phantom pain syndrome (PPS), resulting from amputation after injury. It was established that each patient has an individual immunoprofile, but for all of them there was a significant increase in the level of antibodies to serotonin, histamine, and angiotensin, which reflect the chronicity of the pain syndrome and do not depend on the self-assessment of the severity of PPS. Determination of the role of regulators of biochemical homeostasis in the development of phantom pain showed that, at high, moderate, and weak severity of PPS, the biogenic amine and angiotensinergic systems are activated. A decrease in PPS intensity normalizes deviations in all immunological parameters. The levels of n-Abs for the pain (β-endorphin) and analgesic (orphanin) systems are significant only at low PPS. Monitoring the individual profile of n-Abs to endogenous regulators allows us to obtain an objective picture of the pain status of the patient's body.

Small Signal Modelling and Stability Analysis of a Grid Connected Inverted Based Microgrid

Objectives: This work focuses on the stability analysis of grid connected microgrids. It considers the impact of load disturbance and grid voltage change on voltage and current levels, as well as reactive and active power responses, is analysed. Methods: A comprehensive small-signal state-space model is developed for an inverter-based microgrid, incorporating submodules of inverters, phase-locked loops (PLLs), and LCL filters. The model is linearized around a stable operating point, and eigenvalue analysis is performed and validated through MATLAB/Simulink simulations. A current controller operating in the d-q frame is proposed to enhance stable power conversion and maintain microgrid stability. Findings: The proposed model and control strategy demonstrate the microgrid's ability to maintain transient voltage stability under severe dynamic conditions. During a 10% grid voltage fluctuation, the microgrid exhibits stable active and reactive power responses, with currents and voltages at the point of common coupling stabilizing within 0.2 seconds. Furthermore, when a 25 kVA active load is disconnected, the microgrid effectively manages the power transition, maintaining stable operation with minimal deviations in key parameters. The current controller simplifies AC current control, integrating active power management from solar input, DC-link voltage stability, and reactive power control. Novelty: The novelty lies in the comprehensive analysis of transient voltage stability in grid-connected microgrids under grid voltage fluctuations and load disturbances, areas that have received limited attention in previous research. By developing a detailed small-signal state-space model incorporating PLL and LCL filter dynamics and proposing a robust control strategy with the current controller, this study offers new insights into enhancing the resilience and reliability of grid-connected microgrids during transient events. Keywords: Microgrid, Small Signal Stability, Voltage Source Inverter, State Space model, Eigen Values