Steady-state Oscillations Research Articles

Nonlinear solutions for the steady state oscillations of a clamped–free rotating beam

The rotating beam problem has been extensively used as a benchmark for testing nonlinear finite element implementations. The remarkable characteristic of this benchmark is the coupling between axial a transverse deformations due to the centrifugal forces. The rotating beam dynamics exhibits a centrifugal stiffening effect that can only be captured either by including a kinematic coupling between axial and transverse deformation or by using a nonlinear description of the elastic forces. This paper presents simplified models of the rotating beam that capture the centrifugal stiffening effect due to the inclusion of an axial to transverse kinematic coupling of the beam centreline. The simplified models allow a discussion on their accuracy and a meaningful analysis of the nonlinear oscillations present in the steady state rotation. The results of the simplified models are compared to finite element solutions obtained by using the absolute nodal coordinate formulation and a commercial FEM code.

НАУЧНОЕ НАСЛЕДИЕ ПРОФЕССОРА Ф.Х. БУРУМКУЛОВА (К 85-ЛЕТИЮ СО ДНЯ РОЖДЕНИЯ)

Professor F.Kh. Burumkulov holds a special place among the well- known scientists who have contributed to the development of the strengthening and restoring machine parts. The graduate of the Bauman Moscow State Technical University, he devoted his entire adult life to scientific research on testing machine parts, coating methods, introducing innovative equipment and technologies into repair production. (Research purpose) The research purpose is in presenting the main scientific achievements of F.Kh. Burumkulov, evaluating their contribution to solving the problems of restoration and hardening of parts in modern conditions. (Materials and methods) The article presents literary data, scientific works, archival materials, the most significant publications of F.Kh. Burumkulov, his students and associates. (Results and discussion) The article describes the main stages of the professor's activity. In 1965 he graduated from the Bauman Moscow State Technical University, the branch of "Tracked and wheeled vehicles". F.Kh. Burumkulov studied there in graduate school and in 1968 defended his PhD thesis on the topic "Study of steady-state forced oscillations of the transmission of a multi-drive wheeled vehicle 8x8". They pointed out that after defending his dissertation, he worked at the All-Union Institute of Standardization and Metrology and worked his way up from a senior teacher to a deputy director for academic affairs. From 1980 until the last days, the scientist worked in the VNPO "Remdetal", which was repeatedly renamed (currently – FNAC VIM). The article presents the achieved results and scientific contribution at each stage of its activity. (Conclusions) The scientific heritage of Professor F.Kh. Burumkulov includes more than 250 scientific works, including 7 monographs and 75 inventions. The results of his scientific achievements are recognized by the scientific community; he has trained 2 doctors of sciences and 10 candidates of technical sciences.

Approximation-free-based adaptive integral robust control with prescribed performance for unknown pure feedback system with disturbance

This paper studies the application of prescribed performance control (PPC) method in digital control systems. First of all, the cause of the steady-state oscillation in PPC method is studied, and the influence of prescribed performance function (PPF) is analyzed. Then, an adaptive proportional-like control scheme with integrals is proposed. The adaptive gain is employed to tackle the steady-state oscillation problem, and the integral of transformation error is adopted to reject unknown disturbances and enhance the robustness of the controller. In the proposed control scheme, approximation frameworks are dispensable, and the asymptotic convergence of the tracking error is guaranteed by using integrals. Finally, the effectiveness and superiority of the proposed control strategy are verified through numerical simulations.

Photovoltaic System MPPT Evaluation Using Classical, Meta-Heuristics, and Reinforcement Learning-Based Controllers: A Comparative Study

Maximum power point tracking (MPPT) entails constraining photovoltaic (PV) modules to operate under a specified power condition. It has previously been shown that some meta-heuristic techniques often suffer from steady-state oscillations around maximum points and experience difficulty in adapting to environmental variations, such as irradiation and/or temperature. To address the aforementioned limitation, this work proposed an adaptable reinforcement learning (RL) technique based on a novel deep deterministic policy gradient (DDPG) agent and a reward function. The actor–network top layer uses a sigmoid activation function and the critic–network contains bottleneck layers with non-uniform nodal distributions as well as exponential linear unit (ELU) activation functions in some of the layers. The RL based on DDPG method was compared with Particle Swarm Optimization (PSO) and Perturb-and-Observe (P&O) in order to determine the optimal duty-cycle command needed for controlling the PV modules MPPT. All the investigated systems were implemented in MATLAB/Simulink. The results show that the proposed RL technique based on DDPG agent yielded superior tracking efficiency than all the other approaches. However, as the step change in irradiation at a constant temperature increases, the RL technique based on DDPG agent shows a decrease in tracking efficiency.

A Novel High Step-Up DC–DC Converter with Improved P&O MPPT for Photovoltaic Applications

In this research work, a Maximum Power Point Tracking (MPPT) algorithm is proposed that improves the tracking accuracy and efficiency of the conventional Perturb and Observe (P&O) algorithm. Due to steady-state oscillations and passive dynamics, the efficiency of conventional P&O algorithm is significantly affected in varying climatic conditions. Therefore, to improve its efficiency and tracking accuracy, a reference voltage is defined as a function of irradiance and temperature in the proposed Improved Perturb and Observe (IP&O) algorithm. Moreover, the solar irradiance and temperature of the PV panel are estimated that results in low steady-state oscillations and fast dynamic response. Furthermore, to step-up a low generated PV voltage to a high voltage level, a non-isolated DC–DC converter suitable for large voltage conversion ratios is also designed. The proposed converter uses only one switch that makes its circuitry and control simple and makes it very feasible for PV applications. This converter attains a high voltage gain with relatively low voltage stress on a switch compared with the conventional or other newly developed topologies that have the same or lesser components count. To validate the theoretical concepts of the DC–DC converter and the IP&O algorithm, simulations are carried out in MATLAB/Simulink environment at varying operating climatic conditions. The simulation results and the comparative examination with the conventional P&O algorithm validate the proposed algorithm's adequate performance.

An Improved Maximum Power Point Approach for Temperature Variation in PV System Applications

This paper develops and discusses an improved MPPT approach for temperature variation with fast-tracking speed and reduced steady-state oscillation. This MPPT approach can be added to numerous existing MPPT algorithms in order to enhance their tracking accuracy and response time and to reduce the power loss. The improved MPPT method is fast and accurate to follow the maximum power point under critical temperature conditions without increasing the implementation complexity. The simulation results under different scenarios of temperature and insolation were presented to validate the advantages of the proposed method in terms of tracking efficiency and reduction of power loss at dynamic and steady-state conditions. The simulation results obtained when the proposed MPPT technique was added to different MPPT techniques, namely, perturb and observe (P&O), incremental conductance (INC), and modified MPP-Locus method, show significant enhancements of the MPP tracking performances, where the average efficiency of the conventional P&O, INC, and modified MPP-Locus MPPT methods under all scenarios is presented, respectively, as 98.85%, 98.80%, and 98.81%, whereas the average efficiency of the improved P&O, INC, and modified MPP-Locus MPPT methods is 99.18%, 99.06%, and 99.12%, respectively. Furthermore, the convergence time enhancement of the improved approaches over the conventional P&O, INC, and modified MPP-Locus methods is 2.06, 5.25, and 2.57 milliseconds, respectively; besides, the steady-state power oscillations of the conventional P&O, INC, and modified MPP-Locus MPPT methods are 2, 1, and 0.6 watts, but it is neglected in the case of using the improved approaches. In this study, the MATLAB/Simulink software package was selected for the implementation of the whole PV system.

Контроль зазоров в конструкциях технических изделий в процессе вибрационных испытаний

Introduction. A fair number of technical structures have gaps (backlashes) which can be contingently divided into two types. One of them is the gaps in connections between substructures which are introduced so that the connections may operate correctly. Sizes of such gaps are usually normalized. Another type is the backlashes which occur during operation. Due to the normalized gaps usually expand while operating, both of the types may lead to increased loading and wear of mechanical parts, an alteration in dynamical characteristics and a deterioration in a technical state of mechanical structures. It explains the necessity to control the gaps. When the ground vibration testing of the structures is performed, it seems appropriate to use these tests to detect such gaps. Research Objective: developing the method to control the gaps in the technical structures during the ground vibration testing based on distortions of portraits of forced oscillations. Research Technique. The steady-state forced oscillations of the technical structures, which were measured by acceleration sensors, are excited by means of shakers. The sensor signals are represented as the portraits: the vertical scanning is proportional to the signal and the horizontal scanning – to its first harmonic with the phase shift of π/2. In case of a linear system, the portraits are circles. The presence of the gaps distorts the portraits of oscillations specifically. To estimate the distortions numerically, the first harmonic is subtracted from the Fourier series of the portrait of oscillations, the absolute maximum of the residue is calculated over the oscillation period and used subsequently as the distortion parameter Ψ. The value of the parameter Ψ is normalized and denoted as ξ. The ξ distributions are plotted on controlled objects. The locations of the gaps are determined through the positions of the local maxima of the distortions. While calculating the parameter ξ, the two types of normalization, which were conditionally named the global and local ones, are being used. In case of the global normalization, the value of Ψ is related to the amplitude of the first harmonic at the control point of the structure. The local normalization means that the magnitude of Ψ is related to the amplitude of the first harmonic of the sensor where that parameter was previously calculated. The global normalization is required to analyze the distortion distribution of the portraits of oscillations of the entire technical structure. The local normalization of the distortions of the portraits of oscillations is utilized to establish the locations of the gaps in the mechanical parts and structural connections. The ground vibration tests were carried out via Test.Lab software. The subprogram is integrated into the software interface in order to analyze the portraits of oscillations. It enabled one to calculate the distortions of the portraits of oscillations, plot the distortion distributions of the structure and save it for further use. It allowed one to control the gaps during vibration strength tests, as well as while the structures being used, by means of comparing the distortion distributions of the parameter ξ related to different states of the structure. Additionally, the plotting of the distortion distributions of the portraits of oscillations for each structural component is added to the subprogram so as to control the defects subsequently. Not only the locations of the gaps are determined in the force-displacement application systems but also the equation is given to calculate its magnitudes. The practical recommendations on using that equation are presented. Results and Discussion. The possibility of detecting the gaps by the distortions of the portraits of oscillations is illustrated with the example of the diagnostics of the layout of the control wiring and the airplanes during the ground vibration testing as well as the open-type spacecraft structures. It is shown that the developed method enables one to detect all the gaps in the testing object which distort the portraits of oscillations.

Efficient Control of DC Microgrid with Hybrid PV—Fuel Cell and Energy Storage Systems

Direct current microgrids are attaining attractiveness due to their simpler configuration and high-energy efficiency. Power transmission losses are also reduced since distributed energy resources (DERs) are located near the load. DERs such as solar panels and fuel cells produce the DC supply; hence, the system is more stable and reliable. DC microgrid has a higher power efficiency than AC microgrid. Energy storage systems that are easier to integrate may provide additional benefits. In this paper, the DC micro-grid consists of solar photovoltaic and fuel cell for power generation, proposes a hybrid energy storage system that includes a supercapacitor and lithium–ion battery for the better improvement of power capability in the energy storage system. The main objective of this research work has been done for the enhanced settling point and voltage stability with the help of different maximum power point tracking (MPPT) methods. Different control techniques such as fuzzy logic controller, neural network, and particle swarm optimization are used to evaluate PV and FC through DC–DC boost converters for this enhanced settling point. When the test results are perceived, it is evidently attained that the fuzzy MPPT method provides an increase in the tracking capability of maximum power point and at the same time reduces steady-state oscillations. In addition, the time to capture the maximum power point is 0.035 s. It is about nearly two times faster than neural network controllers and eighteen times faster than for PSO, and it has also been discovered that the preferred approach is faster compared to other control methods.

Modeling and Test Results of an Innovative Gyroscope Wave Energy Converter

An improved Maximum Power Point Tracking (MPPT) method based on a purely mechanical wave energy converter (WEC) of gyroscope precession is proposed. The method adopts dynamic perturbation step adjustment, which improves the stability of power output and reduces steady-state oscillation. The paper introduces the principle of the device, establishes the mathematical model, and obtains the complete expression of power. The effect of wave frequency, pitch amplitude, power take-off (PTO) damping coefficient, and flywheel rotating speed on power output is analyzed. The output regression equation is established, and the extraction conditions of the maximum power are summarized and predicted. Aiming at the time-varying nature of actual ocean waves, a variable step size modified maximum power point (MPP) tracking control algorithm based on perturbation and observation (P&O) method is proposed. The algorithm has a unique technology to dynamically change the perturbation size, which not only improves the dynamic response but also reduces the oscillation. Besides, the boundary conditions ensure that the algorithm will not deviate from the motion trajectory, and the average filtering method and steady-state judgment can further reduce steady-state oscillation. In various ocean conditions, the proposed method has better output stability compared with other variable step size algorithms. Finally, different wave working conditions are given in the experiment, and the results verify the effectiveness of the proposed MPPT control strategy in experimental equipment. The device will be suitable for distributed power sources in small islands and ports.

A Novel Shift and Search (S&S) Algorithm for Tracking Maximum Power in PV Systems: An Approach to Increase Efficiency

Green energy endows the utmost environmental benefits, which include electric power produced from photovoltaic (PV) systems. The minimal conversion efficiency of PV systems (9–17%) decelerates the share in the energy market. One of the solutions to increase efficiency is efficient maximum power point tracking (MPPT) through precise controls. Within the available MPPT algorithms, the perturb and observe (P&O) is prominent due to its simplicity. However, its drawbacks slow down its usage. Most of the proposals involved in overcoming these drawbacks are hybrid nature, which increases the complexity. Alternately, this paper proposes shift and search (S&S) modified P&O algorithm, which not only retains the simplicity but also eliminates all the drawbacks of conventional algorithms with improved tracking efficiency. It is unique in its approach by having independent control over the steady state oscillations and the fast convergence, results in improved tracking efficiency. The performances of the proposed algorithm are validated in the simulation platform. Besides, the superiorities are verified by comparing with traditional and drift free P&O algorithms. The improved MPPT efficiency of the proposed technique aids in extracting the maximum power from solar energy.

Study of the antivibration suspended seat oscillations with quasi-zero stiffness effect under sinusoidal excitation

The relevant task of reducing the vibrations transmitted to a human operator of a construction or road vehicle during operating process is accomplished, among other things, by conducting the research on mathematical models. Oscillations simulation of the human operator’s seat antivibration suspension by means of the numerical solution of the ordinary differential equations system remains one of the main methods of the study, used in particular for the discrete mathematical models verification. Therefore, the problem of determining the rational value of the maximum integration step by using the numerical method in solving the systems of the ordinary differential equations describing the operator’s anti-vibration suspended seat oscillations is relevant. A discrete mathematical model of a human operator’s seat performing the forced vertical oscillations during kinematic excitation of base movements was developed through the use of the differential equation of the translational oscillations of mass on a movable base. The prescribed displacements of the seat base are described by the harmonic oscillation equation. The numerical solution of the ordinary differential equations system is carried out via the built-in ode45 function of the MATLAB mathematical modeling system. Moreover, the parameters of the developed mathematical model are described, the calculation scheme and an example of a static force characteristic including the quasi-zero stiffness region in the middle section of the characteristic are given. The determination accuracy of the maximum acceleration of the seat in the steady-state oscillation mode is shown to decrease when the value of the maximum allowable integration step increases. It is recommended to limit the value of the maximum allowable integration step to one hundredth of a second. Besides, the effect of the values duality of the maximum acceleration and maximum internal movement of the seat relative to its own base with small changes in the base displacement amplitude, which must be taken into account in modeling, is also revealed.

Maximum Power Point Tracking Technique for Photovoltaic Power System at Sudden Change in Irradiance using Fuzzy Self Tuning PID Controller

This paper presented a new digital control scheme for photovoltaic (PV) system, using a new approach maximum power point tracking (MPPT) algorithm. Photovoltaic power generation system required an effective controller to overcome sudden irradiance change and to maximize their efficiency in order to be more efficient & more precise. This paper proposed a new approach of MPPT based on a voltage control approach of power converter with PI (proportional integral) controller combination for the boost converter to adapt the duty cycle. The input voltage reference is adaptively perturbed with variable steps until the maximum power is reached. A state-space model is derived through averaging method, with the control input being the duty ratio of the pulse width modulator for a dc–dc boost converter. The proposed control scheme achieved stable condition in the control region of the PV panel and eliminated the steady state oscillations when there is sudden change of irradiance in the maximum power operating point. Furthermore, the PV system became more efficient, as proven by sudden change in radiation conditions for 10 seconds, where energy can be saved approximately 76.66%.

Multi-step depth model predictive control for photovoltaic power systems based on maximum power point tracking techniques

To increase the PV power generation efficiency, this paper proposes a multi-step depth model predictive control algorithm based on maximum power point tracking techniques. The multi-step depth model predictive control algorithm combines deep neural networks and model predictive control to improve control performances. Deep neural networks can improve prediction accuracy and can reduce steady-state oscillations. The model predictive control technique can improve the tracking speed and dynamic performance of photovoltaic power systems. Compared with a perturbation and observation algorithm, an incremental conductance algorithm, and a model predictive control algorithm, the simulation results verify that the multi-step depth model predictive control algorithm can effectively obtain the fastest tracking speed (0.001 s), the smallest steady-state oscillation (6 W), and the highest power generation efficiency (99.06%) under the step, ramp, sine, and real stringent dynamic irradiance and temperature cases. A hardware-in-the-loop experimental test verifies the validity of the multi-step depth model predictive control algorithm.

An improved control strategy for charging solar batteries in off-grid photovoltaic systems

In off-grid photovoltaic (PV) systems, a battery charge controller is required for energy storage. However, due to unstable weather conditions as well as the frequent variations in load demand, the PV power flow delivered to the load could be fluctuated while the battery charging efficiency will be reduced. To overcome these issues, this paper presents an improved power balance control strategy based on two proportional and integral (PI) compensators only, which can adequately balance the PV power flow delivered to the DC load and the battery, so that the PV power is effectively utilized and the battery is properly charged. First, a modeling of the entire system based on the linear PV array model is performed to simplify the design of the PI compensators. In addition, four operating modes are adapted to deal with the aforementioned issues regarding any variation in weather conditions and load demand. Namely, Maximum Power Point Tracking (MPPT)-mode, Non-MPPT mode, Night-mode, and Off-mode. Afterwards, a digital anti-windup control strategy associated with PI compensators is also developed to ensure a smooth switching from an operating mode to another. Moreover, an improved Incremental Conductance IC-MPPT algorithm is adopted to extract the maximum power from the PV array. Finally, MATLAB/SIMULINK simulations are carried out and the results obtained demonstrate the good performance of the proposed control strategy under different atmospheric conditions, both in power balance control and MPPT control, notably in terms of efficiency (99.79%), steady-state power oscillations (0.03 W), and convergence time (0.03 s).

A Bayesian fusion technique for maximum power point tracking under partial shading condition

In this paper, a Bayesian fusion technique (BFT) based on maximum power point tracking (MPPT) is developed for the photovoltaic (PV) system that can exhibit faster and accurate tracking under partially shaded conditions (PSCs). Although the conventional hill-climbing algorithms have fast tracking capabilities, they are prone to steady-state oscillations and may not guarantee global peak under partially shaded conditions. Contrarily, the meta-heuristic-based techniques may promise a global peak solution, but they are computationally inefficient and take significant time for tracking. To address this problem, a BFT is proposed which combines the solutions obtained from conventional incremental conductance algorithm and Jaya optimization algorithm to produce better responses under various PSCs. The effectiveness of the proposed BFT-based MPPT is evaluated by comparing it with various MPPT methods, viz. incremental conductance, particle swarm optimization (PSO), and Jaya optimization algorithms in MATLAB/Simulink environment. From the various case studies carried, the overall average tracking speed with more than 99% accuracy is less than 0.25 s and having minimum steady-state oscillations. Even under the wide range of partially shaded conditions, the proposed method exhibited superior MPPT compared to the existing methods with tracking speed less than 0.1 s to achieve 99.8% tracking efficiency. A detailed comparison table is provided by comparing with other popular existing MPPT methodologies.

Pupillometric recordings to detect glaucoma

Objective. Glaucoma is the second cause of vision loss with early diagnosis having significantly better prognosis. We propose the use of hippus, the steady-state pupil oscillations, obtained from an eye-tracker for computerised detection of glaucoma. Approach. Pupillary data were recorded using a commercial eye-tracker device directly to the laptop. A total of 40 glaucoma patients and 30 age-matched controls were recruited for the study. The signals were de-noised, and the entropy of the steady-state oscillations was obtained for two light intensities, 34 and 100 cd m−2. Main results. The results show that at 100 cd m−2, there was significant difference (p < 0.05) between the sample entropy of the healthy eyes (0.55 ± 0.017) and glaucoma eyes (0.7 ± 0.034). The results at 34 cd m−2 were also significantly different, though to a lesser extent. Significance. Entropy of the pupillary oscillations, or hippus, obtained using an eye-tracking device showed a significant difference between glaucoma and healthy eyes. The method used commercially available inexpensive hardware and thus has the potential for wide-scale deployment for computerized detection of glaucoma.

A computational modeling on transient heat and fluid flow through a curved duct of large aspect ratio with centrifugal instability

Due to remarkable applications of the curved ducts in engineering fields, scientists have paid much attention to invent new characteristics of curved-duct flow in mechanical systems. In the ongoing study, a computational modeling of fluid flow and energy distribution through a curved rectangular duct of large aspect ratio is presented. Governing equations are enumerated by using a spectral-based numerical technique together with the function expansion and collocation method. The main purpose of the paper is to analyze the effect of centrifugal force in the flow transition as well as heat transfer in the fluid. The investigations are performed for the aspect ratio, Ar = 4; the curvature ratio, delta = 0.5; the Grashof number, {text{Gr}} = 1000; and varying the Dean number, 0 < {text{Dn}} le 1000. It is found that various types of flow regimes including steady-state and irregular oscillations occur as Dn is increased. To well understand the characteristics of the flow phase spaces and power spectrum of the solutions are performed. Next, pattern variations of axial and secondary flow velocity with isotherms are illustrated for different Dn’s. It is revealed that the flow velocity and the isotherms are significantly influenced by the duct curvature and the aspect ratio. Convective heat transfer and temperature gradients are calculated which explores that the fluids are diversified due to centrifugal instability, and as a consequence the overall heat transfer is enhanced significantly in the curved duct.

Irradiance Sudden Change Grid Connected Fuzzy Self Tuning PID Controller Maximum Power Point Tracking Technique for Photovoltaic Power System

This paper presented the Deep detail of ANFIS and Grid Connected. Photovoltaic power generation system required an effective controller to overcome sudden irradiance change and to maximize their efficiency in order to be more efficient & more precise. This paper proposed an approach of MPPT based on a voltage control approach of power converter with the use of the Adaptive Fuzzy logic controller (Adaptive FLC). The input voltage reference is adaptively perturbed with variable steps until the maximum power is reached. A state-space model is derived through averaging method, with the control input being the modulation depth of the proposed Inverter. The proposed control scheme achieved stable condition in the control region of the PV panel and eliminated the steady state oscillations when there is sudden change of irradiance in the maximum power operating point. Furthermore, the PV system became more efficient, as proven by sudden change in radiation conditions for 0.2 seconds, where energy can be saved approximately 95%. As the max error percentage (Kindly refer to Fig.29)

State Feedback and Synergetic controllers for tuberculosis in infected population.

Tuberculosis (TB) is a contagious disease which can easily be disseminated in a society. A five state Susceptible, exposed, infected, recovered and resistant (SEIRs) epidemiological mathematical model of TB has been considered along with two non‐linear controllers: State Feedback (SFB) and Synergetic controllers have been designed for the control and prevention of the TB in a population. Using the proposed controllers, the infected individuals have been reduced/controlled via treatment, and susceptible individuals have been prevented from the disease via vaccination. A mathematical analysis has been carried out to prove the asymptotic stability of proposed controllers by invoking the Lyapunov control theory. Simulation results using MATLAB/Simulink manifest that the non‐linear controllers show fast convergence of the system states to their respective desired levels. Comparison shows that proposed SFB controller performs better than Synergetic controller in terms of convergence time, steady state error and oscillations.

A novel active current co‐efficient extraction‐based control for grid‐tied solar photovoltaic system

In this paper, a novel active current co-efficient extraction (ACCE)-based control method is presented for a three-phase grid-interfaced voltage source inverter (VSI). Since the VSI performance largely depends on the reference current generation method, it is of significance to identify the active current co-efficient of the load current contaminated with harmonics, as it is a key governing factor that decides the shape of the compensating current. The proposed ACCE structure functions with minimal mathematical operators like product, sum, and integrators and thereby identifies the fundamental current with computational effectiveness. Besides, in comparison to existing prevalent state-of-the-art methods, the proposed ACCE structure is devoid of any low-pass filter and zero-crossing detector, and hence serves the following two distinctive purposes: (i) Ensures minimum steady-state oscillations and (ii) exhibits improved dynamic performance under disturbances in the grid and load. The proposed structure effectively confronts the various power quality challenges while injecting the active power into the utility grid. Further, the incremental-conductance-based maximum power point tracking algorithm is equipped to extract the maximum possible power from the photovoltaic array. Finally, the effectiveness of the proposed ACCE structure has been investigated through MATLAB/Simulink software studies followed by dSPACE-1104-based experimental setup.