Implementation Of Control Algorithm Research Articles

Impact of zoning heating and air conditioning control systems in users comfort and energy efficiency in residential buildings

Nowadays, in the residential sector, a widely used Heating, Ventilation and Air Conditioning system is the ducted direct expansion inverter system based on the on/off control of a single zone, which cannot guarantee the thermal comfort in each room of the building. As a solution, the standard EN 15,232 regulates the use of control systems including thermal zoning as a fundamental condition in the energy efficiency in buildings. The zoning system can adapt the equipment working regime to meet the thermal demand in each zone monitoring the air temperature according to users’ preferences ensuring the thermal comfort in each zone. Framed in this goal, in contrast to complex and costly control systems, this paper presents a new zoned control system based on thermostats and motorized dampers in each zone, a control board and a communication gateway which allows the communication between the unit and the control board to set operational parameters as the speed of the fan or the supply air set point temperature.The practical feasibility of this new control system is presented with a thermo-economic comparison analysis with respect the conventional in the context of the Building Research Establishment Environmental Assessment Methodology certification scheme. The model of the zoning system together with implemented control algorithms is developed in TRNSYS17 and the case of study is a residential dwelling in three different Spanish cities. The results show how the thermal zoning control contributes to adapt the thermal energy to each zone in a more efficient way. Moreover, the regulation of the motorized dampers, fan speed and set point temperature of the unit ensures the thermal comfort in all the zones of the building guaranteeing a category B according to the standard regulations. Finally, from the point of view of energy consumption, energy savings from 21 to 42% are obtained, resulting in payback periods of the installation from 3.2 to 4.3 years.

A Path-Following Controller for Marine Vehicles Using a Two-Scale Inner-Outer Loop Approach.

This article addresses the problem of path following of marine vehicles along straight lines in the presence of currents by resorting to an inner-outer control loop strategy, with due account for the presence of currents. The inner-outer loop control structures exhibit a fast-slow temporal scale separation that yields simple “rules of thumb” for controller tuning. Stated intuitively, the inner-loop dynamics should be much faster than those of the outer loop. Conceptually, the procedure described has three key advantages: (i) it decouples the design of the inner and outer control loops, (ii) the structure of the outer-loop controller does not require exact knowledge of the vehicle dynamics, and (iii) it provides practitioners a very convenient method to effectively implement path-following controllers on a wide range of vehicles. The path-following controller discussed in this article is designed at the kinematic outer loop that commands the inner loop with the desired heading angles while the vehicle moves at an approximately constant speed. The key underlying idea is to provide a seamless implementation of path-following control algorithms on heterogeneous vehicles, which are often equipped with heading autopilots. To this end, we assume that the heading control system is characterized in terms of an IOS-like relationship without detailed knowledge of vehicle dynamics parameters. This paper quantitatively evaluates the combined inner-outer loop to obtain a relationship for assessing the combined system’s stability. The methods used are based on nonlinear control theory, wherein the cascade and feedback systems of interest are characterized in terms of their IOS properties. We use the IOS small-gain theorem to obtain quantitative relationships for controller tuning that are applicable to a broad range of marine vehicles. Tests with AUVs and one ASV in real-life conditions have shown the efficacy of the path-following control structure developed.

OPTIMAL REGULATION OF CATHODIC PROTECTION PLANT OPERATION ON THE BASIS OF RELIABILITY AND RESIDUAL LIFE

Corrosion of steel underground pipelines significantly reduces the service life, leading them to an emergency condition, in which further operation is impossible. The main methods of protecting such pipelinesare insulating coatings and electrochemical protection.Determination of the optimal operating parameters of the electrochemical protection system allows to increase the service life of protected objects, due to a decrease in the load on working objects. These approaches are mainly aimed at reducing energy consumption by determining their optimal output parameters of electrochemical protection equipment, subject to compliance with the requirements of RD for permissible values of the protective potential. However, optimal control algorithms do not directly take into account the actual technical state of the system and cannot provide information about its reliability.The average life of most existing pipelines is more than 20 years. The actual corrosion protection characteristics of such pipelines are significantly reduced in comparison with the initial. In view of this, there is a need to determine the reliability of the electrochemical protection system. Proposed methods for determining and evaluating the reliability indicators of electrochemical protection systems are aimed at building Markov models of the reliability of the object under study and determining its availability factor.The implementation of optimal control algorithms in conjunction with methods for assessing the reliability of electrochemical protection systems can make it possible to determine the time of trouble-free operation and identify the most “vulnerable” elements of the system.

SHOPPING MALL PREMISES SCADA-MICROCLIMATE CONTROL SYSTEM DEVELOPMENT

The article is devoted to the shopping malls technological processes of heating, air conditioning and ventilation control studying. In order to develop a shopping mall microclimate control automated system temperature, humidity and ventilation control laws were analysed. Literature review shows that current microclimate control systems are not energy efficient and the usage of supervisory control and data acquisition systems can provide information of the current system state and decrease energy consumption. It is stated that using SCADA-system helps to reduce equipment operating costs by collecting and processing real-time information and implementing new energy-efficient control laws. To achieve this goal, the existing microclimate control systems were analysed. It was determined that these systems can be improved by using the SCADA system. Current implementations of shopping malls control parameters are investigated. Based on investigated control parameters the requirements of SCADA-systems construction were received. It was shown that the developed control system simplifies shopping malls microclimate control system construction, control object identification and energy-efficient control algorithms implementation. An overview of temperature and humidity processes in the shopping malls control algorithms was made. The list of input-output parameters of ventilation system control has been made. Using these parameters, the structural scheme of connection was built. The equipment of an automated control system is described. Operator visualization for microclimate parameters tracking have been developed. Visualizations of the authorization, room selection and setting control settings have been designed. The practical significance of the study lies in the hardware and software system control development.

A Generalized Real-Time Computation Method With Dual-Sampling Mode to Eliminate the Computation Delay in Digitally Controlled Inverters

Digital control has been widely adopted in grid-connected inverters, thanks to easy implementation of complicated control algorithms. However, the digital control delay deteriorates the performance of the inverter and tends to cause system instability. In this article, the generating mechanism of the digital control delay, including computation delay and pulsewidth modulation delay, is analyzed. Then, a generalized real-time computation method with a dual-sampling mode is derived to directly eliminate the computation delay, based on two- and multilevel phase-legs. On this basis, the operation principle of the method for three- and single-phase inverters with two- and multilevel topologies is elaborated. Finally, the experimental and simulation results from three- and single-phase <i>LCL</i>-type grid-connected inverters are provided to verify the effectiveness of the proposed method.

Exploration and Research on Key Technologies for Improving the Response Speed of Servo-Hydraulic Cylinders

The operating efficiency of the hydraulic system depends on the response speed and driving efficiency of the hydraulic components. Seeking various methods and technologies to improve performance and work efficiency is an important work for many scholars. In this paper, the development and performance improvement of four generations of hydraulic cylinders are analyzed to obtain the development of the drag reduction technology by examples such as sealing methods, microtextured hydrodynamic lubrication, manufacturing materials, drive methods, control methods, etc. The reviewed results show that the drag reduction and efficiency improvement of hydraulic cylinders are affected by many factors, and the new drag reduction theories, advanced drag reduction technology, and emerging materials point toward the direction of the acceleration of hydraulic cylinders. Finally, according to the higher requirements for future cylinders, four new ideas are proposed for improving the speed performance of hydraulic cylinders, including new material sealing ring with low friction coefficient or self-lubricating, internal leakage suppression from smart material, implementation of servo control techniques and algorithms, and digital hydraulic technology. These new viewpoints may provide some methods and references for the speed improvement of hydraulic cylinders.

Introducing a novel control algorithm and scheduling procedure for optimal operation of energy storage systems

One of the principal purposes of using energy storage systems (ESS) are peak shaving and load smoothing. In the present study, a novel control algorithm has been developed in order to the optimal use of ESS for peak load shaving. First, by comparing the complex control algorithm of the present study with the control algorithm developed by other researchers (simple control algorithm), the superiority and advantage of the present work become clear. To do this, five different load demand profiles have been considered and the mentioned algorithms have been applied to them. The results show that the implementation of the present study novel algorithm on the load demand profiles number one to five reduces the maximum of the required grid power to 6.477%, 11.81%, 12.60%, 10.25%, and 3.000% of their initial value, respectively. Their variance also reduces their initial value to 14.47%, 14.20%, 28.48%, 39.87%, and 54.96%, respectively. On the other hand, the implementation of the simple control algorithm has reduced the maximum of the required grid power to 0.8542% of its initial value only in the fifth profile. But the variance in the first to fifth profiles is reduced by 9.630%, 5.831%, 14.12%, 21.89%, and 52.00% of their initial value, respectively. In the following, by applying the novel control algorithm on the first sample load demand profile and change of various parameters such as ESS capacity, lower and upper limitation of the grid power, etc. the results are extracted and reported in detail.

Experimental characterization and modelling of the resistive wall mode response in a reversed field pinch

Model-based control algorithms have potential advantages for resistive wall mode (RWM) feedback control. In this study, a physics model of the RWM response to externally applied perturbation fields is validated against experiments in a reversed field pinch (RFP). The experimental characterization of the RWM plasma response is performed in the EXTRAP T2R device by the excitation of nonaxisymmetric perturbation magnetic fields utilizing an external array of saddle coils for RWM control. The modelling and experimental validation is carried out with an extended sensor array, resolving a wider spectrum of RWM compared to earlier studies, covering the relevant poloidal and toroidal modes for this high aspect ratio RFP device. In addition to the nonresonant unstable modes, which are the primary target of RWM feedback control, this spectrum also includes a wide range of resonant modes. The validated resistive magnetohydrodynamics (MHD) model includes the passive stabilization effect on these modes from intrinsic plasma rotation. The inclusion of resistivity and plasma rotation in the present model provides a substantially better agreement between modelled and experimental growth rates than that observed in earlier studies using the ideal MHD model. The present model provides a realistic description of the plasma response for both nonresonant and resonant modes, which is both relatively simple and compatible with the computing capabilities and latency limitations encountered in practical implementations of model-based control algorithms.

Automated system for regulating the thermal parameters of cord heat treatment furnaces with optimization of the gas-to-air ratio at a certain value

The system of automation which allows to control autonomous use of gas with preserva-tion of quality of technological process is resulted. The given algorithm, corresponding programs, technical means of automation system carry out regulation of air expenses at any values of quantity of fuel (gas). The gas-to-air ratio is determined experimentally from the analysis of exhaust gases for a specific type of furnace. The control algorithm is implemented using a microprocessor controller, and includes: PID control - law (proportional-integral-differential), linearization, which processes the input values of gas and air and reduces measurement errors of flow sensors and especially in the initial part of the sensor range; piecewise linear approximation, which allows: to implement the specified dependence of the ratios, flexibility and the ability to adjust and change the parameters of the control circuits, which adapts the control system to specific production conditions. The controllers can be configured both at the lower level of the distributed ACS TP and communicate with the upper level through the digital serial communication channel, and used as a stand-alone device. The meter of the measured and calculated parameters of the corresponding physical quantities displays them on the matrix board of its front panel. A computer with a printer located on the panel shop is connected to the meters. Devel-oped programs that implement control algorithms written in Delphi 3.0 using BDE (Bor-landDatabaseEnqine). Technological programs and a set of documentation for the operation of the system have also been developed. The system is focused on daily work in conjunction with meter gauges. Instrument read-ings are taken at intervals of one to one hundred and twenty minutes, depending on the settings made on the front panel. Information from the meters is stored in the database "Infoterm.db", as well as in the archival database "Archive.db". Moreover, the database "Infoterm.db" is released from the data every day before the launch of system programs. The technological program for heat meters is made on the basis of preliminary calcula-tions of measuring diaphragms from the manufacturer with observance of metrological and technological conditions (metrological certification, etc.). If necessary, the software is configured.

Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures

Improving the geometric accuracy of the deposited component is essential for the wider adoption of wire arc additive manufacturing (WAAM) in industries. This paper introduces an online layer-by-layer controller that operates robustly under various welding conditions to improve the deposition accuracy of the WAAM process. Two control strategies are proposed and evaluated in this work: A PID algorithm and a multi-input multi-output model-predictive control (MPC) algorithm. After each layer of deposition, the deposited geometry is measured using a laser scanner. These measurements are compared against the CAD model, and geometric errors are then compensated by the controller, which generates a new set of welding parameters for the next layer. The MPC algorithm, combined with a linear autoregressive (ARX) modelling process, updates welding parameters between successive layers by minimizing a cost function based on sequences of input variables and predicted responses. Weighting coefficients of the ARX model are trained iteratively throughout the manufacturing process. The performance of the designed control architecture is investigated through both simulation and experiments. Results show that the real-time control performance is improved by increasing the complexity of implemented control algorithm: controlled geometric fluctuations in the test component were reduced by 200% whilst maintaining fluctuations within a 3 mm limit under various welding conditions. In addition, the adaptiveness of designed control strategy is verified by accurately controlling the fabrication of a part with complex geometry.

A Unified Topology for the Integration of Electric Vehicle, Renewable Energy Source, and Active Filtering for the Power Quality Improvement of the Electrical Power Grid: An Experimental Validation

Electrical power grids are facing challenges concerning new linked technologies and associated contributions of power electronics, both regarding innovative topologies of power converters and advanced power management algorithms. Additionally, technologies related to renewables and electric mobility have several points in common, especially about the interface with the power grid, which allows to foresee a convergence for unified solutions in the power grid interface, without jeopardizing the functionalities and added values of each technology. Encompassing this purpose, this paper presents a unified topology, based on a three-phase structure, which, in addition to a collaborative operation with the power grid targeting the compensation of power quality problems, also enables the integration of a renewable energy source and an electric vehicle. The main contribution of this paper resides in the fact that only an interface with the power grid is necessary to involve three central features of smart grids: renewables, electric mobility, and power quality. Overall, the unified topology presents a four-quadrant structure, both in the perspective of AC and DC interfaces, offering multiple functionalities, mainly to the power grid. In the AC interface, the structure operates in interleaved mode, while in the DC interface, the structure operates in multilevel mode. The global control algorithm is presented, covering the interconnection between the mentioned technologies, as well as the details of implementation of the individual control algorithms regarding each interface. A laboratory prototype, connected to a three-phase 400 V-50 Hz power grid, was used to obtain an experimental validation for a maximum operating power of 12.5 kW, corroborating the essential advantage characteristics and the correct functioning of the presented unified topology.

Model Predictive Control for the Flowrate Control Loop of the FESTO MPS PA Compact Workstation

Model Predictive Control techniques offer favorable characteristics for the process control sector and have been used in industry since the 1980s. Some of the advantages of the Model Predictive Control techniques are that the process model can capture both static and dynamic interactions between input, output, and disturbance variables; the existing constraints on inputs and outputs are considered systematically, and the control calculations can be coordinated with the calculation of optimum set-points. This study aims to design and implement a Model Predictive controller for the flowrate control loop of the FESTO MPS PA Compact Workstation. The designed Model Predictive controller has an important advantage because it is easy to conFig. how much energy should be used using well-designed tuning parameters. First, a dynamic model of the plant is obtained using Pseudo-Random Binary Signal input. The obtained model is used to define the objective function, determine the aspects to be optimized and analyze and identify the restrictions and limitations of the control algorithm. For the implementation of the model predictive control algorithm, LabVIEW software was used because it can execute a graphic visualization of the operation of the plant, and it offers ActiveX controls that are needed for interfacing with the MPS PA compact workstation. Finally, the controller's behavior was analyzed, and comments about the obtained results and conclusions on this line of research are presented.

ИНТЕЛЛЕКТУАЛЬНАЯ СИСТЕМА ДЛЯ МОДЕЛИРОВАНИЯ, МОНИТОРИНГА И УПРАВЛЕНИЯ ВОСПРОИЗВОДСТВОМ БИОТОПЛИВА НА ОСНОВЕ ЭНЕРГЕТИЧЕСКИХ ТРАВ

The article considers an information analytical decision support system for solving agricultural problems. The theoretical basis is the methodology of Bayesian Intelligent Measurements (BII). The object of modeling and management is a community of energy herbs, in particular, the eastern goat or eastern galega. The community model, consisting of models of individual types of energy herbs, served as the basis for creating a system for monitoring and managing the cultivation and use of these plants. The implementation of monitoring and control algorithms is carried out by means of the Infoanalytic computer platform. Detailed modeling of such plant species as rapeseed, alfalfa, hogweed, corn, flax, Eastern goat and others has been carried out. Recommendations on indicators for monitoring the condition of plants at all stages of crop cultivation are given. Dynamic models reflecting the development of plants are constructed, Analytical dependences of the dynamics of plant health indicators are obtained. Special attention is paid to the eastern galega culture as one of the most promising types of fodder and energy herbs. Practical recommendations and examples of the use of the BII system for the districts of the Tver region are given.

Advanced Control With PLC—Code Generator for aMPC Controller Implementation and Cooperation With External Computational Server for Dealing With Multidimensionality, Constraints and LMI Based Robustness

The manufacturers of Programmable Logic Controllers (PLC) usually equip their products with extremely simple control algorithms, such as PID and on-off regulators. However, modern PLCs have much more efficient processors and extensive memory, which enables implementing more sophisticated controllers. The paper discusses issues related to the implementation of matrix operations, time limitations for code execution within one PLC cycle, and memory requirements. The adaptive Model Predictive Controller (aMPC) algorithm is selected for predictive control with on-line adaptation of model parameters. The combination of predictive and adaptive properties in the regulator enables control of many industrial objects for which PID control is ineffective, e.g. nonstationary plants with time-varying delays. The presented generic approach consists in developing a C++ application for desktop PC that generates, based on user provided parameters - such as MPC horizons, the code in Structured Text (ST) language compliant with the IEC-61131 standard for PLCs. Despite the enhanced capabilities of programmable controllers, there are limitations to this platform that cannot be overcome. The implementation of optimization-based control algorithms requires cooperation with an external computing server. In the article, the PLC/external computer cooperation is used to implement the control with constraints taken into account. The robust control using the Linear Matrix Inequalities (LMI) for a multivariable plant is also presented. A number of tests were carried out to verify the correctness of implementation of this control in software-in-the-loop and hardware-in-the-loop structures.

Adaptive Fault Detection and Emergency Control of Autonomous Vehicles for Fail-Safe Systems Using a Sliding Mode Approach

This paper presents a sliding mode-based adaptive fault detection and emergency control algorithm for implementation in fail-safe systems of autonomous vehicles. The overall algorithm is comprised of a fault detection part and a fail-safe control part. For the former, sliding mode observer-based fault detection algorithms were developed for environment and chassis sensors, including LiDAR, Radar, and acceleration sensors. Unidentified fault signals from the sensors are reconstructed through the adaptive sliding mode observer. The reconstruction is based on the MIT rule through the use of an estimated sensitivity parameter. For the latter, a sliding mode control (SMC)-based emergency control method designed to respond to fault occurrences has been proposed to ensure the functional safety of autonomous vehicles. An adaptive gain parameter was designed, taking convergence time into consideration, to secure consistent and rapid responses from the controller. When the detection algorithm detects a fault, the appropriate control input is computed by a lower controller for the vehicle. This control input is calculated based on the last scene information obtained from an upper controller. The performance of the proposed fault detection and control algorithms has been evaluated through simulations and actual vehicle tests of various scenarios.

Integrated Mobile Robotic Platform Model

Introduction. The “Smart Agroˮ committee of Research and Education Center “Engineering of the Future” has identified a number of tasks relevant for improving the efficiency of precision, soil-protecting and conservation agriculture. One of these tasks is the development of a digital multi-agent system, which provides a number of services for agricultural enterprises, developers and manufacturers of agricultural machinery. The purpose of the present study is to model an autonomous mobile robotic platform, including the development of software and hardware for trajectory control. Materials and Methods. To solve the problem, there are used modern CAx systems and their applications, the methods of 3D and full-body modeling, and the method of numerical solution of problems in solid mechanics. To expand and improve the standard functionality of CAx-systems (SolidWorks) in the software implementation of trajectory control algorithms, the methods and technologies of programming using API SolidWorks, VisualStudio C++ (MFC, ATL, COM) are used, and to build physical full-scale models ‒ Arduino and fischertechnik platforms. Results. The result of the study is a software and hardware module of trajectory control for an integrated (physical and virtual) model of a mobile robotic platform, which can be provided to the consumer as a service for technology autonomation. For the developed integrated model, control algorithms for various types of trajectories were tested. Discussion and Conclusion. The developed integrated software and hardware model of trajectory control can be used by developers and manufacturers of agricultural machinery, and directly by agro-enterprises for implementing typical technological processes. A feature of the implementation is an open hardware and software interface that provides the integration of mobile robotic platforms based on a digital multi-agent system.

Electro-Thermal Model-Based Design of Bidirectional On-Board Chargers in Hybrid and Full Electric Vehicles

In this paper, a model-based approach for the design of a bidirectional onboard charger (OBC) device for modern hybrid and fully electrified vehicles is proposed. The main objective and contribution of our study is to incorporate in the same simulation environment both modelling of electrical and thermal behaviour of switching devices. This is because most (if not all) of the studies in the literature present analyses of thermal behaviour based on the use of FEM (Finite Element Method) SWs, which in fact require the definition of complicated models based on partial derivative equations. The simulation of such accurate models is computationally expensive and, therefore, cannot be incorporated into the same virtual environment in which the circuit equations are solved. This requires long waiting times and also means that electrical and thermal models do not interact with each other, limiting the completeness of the analysis in the design phase. As a case study, we take as reference the architecture of a modular bidirectional single-phase OBC, consisting of a Totem Pole-type AC/DC converter with Power Factor Correction (PFC) followed by a Dual Active Bridge (DAB) type DC/DC converter. Specifically, we consider a 7 kW OBC, for which its modules consist of switching devices made with modern 900 V GaN (Gallium Nitrade) and 1200 V SiC (Silicon Carbide) technologies, to achieve maximum performance and efficiency. We present a procedure for sizing and selecting electronic devices based on the analysis of behaviour through circuit models of the Totem Pole PFC and DAB converter in order to perform validation by using simulations that are as realistic as possible. The developed models are tested under various operating conditions of practical interest in order to validate the robustness of the implemented control algorithms under varying operating conditions. The validation of the models and control loops is also enhanced by an exhaustive robustness analysis of the parametric variations of the model with respect to the nominal case. All simulations obtained respect the operating limits of the selected devices and components, for which its characteristics are reported in data sheets both in terms of electrical and thermal behaviour.

Model development for the design of control strategies of the primary drying of lyophilization in vials

This paper proposes a development to reformulate the fundamental equations of primary drying into a linear-based representation to support control design. The model is expressed by transfer functions with variable gains that incorporate analytical relations derived from a phenomenological model. The time constants denote the dynamics of the heating/cooling and vacuum systems. Compared to fundamental equations, this approach simplifies the development and implementation of well-established control algorithms. The quality of the proposed representation is illustrated in the design of a control system using two different strategies: model predictive control and a feedback controller with proportional-integral action. The simulation case study allows assessing the performance of both designs with regard to cycle time reduction and robustness under parametric disturbances. Results evidence that the proposed model is detailed enough to provide accuracy in a simplified way, facilitating the implementation of in-line control strategies, which in turn enable significant reductions of drying time.

PHASE METHODS OF GAS GENERATORS CONTROL HYDROGEN STORAGE AND SUPPLY SYSTEMS

Methods of control of technical condition of gas generators of systems of storage and supply of hydrogen based on use of their phase-frequency characteristics are considered. Methods of control of gas generators are divided into two groups depending on the mathematical models used to describe the operation of such gas generators. It is shown that when using as such a mathematical model the transfer function of the gas generator in the form of an inertial link, it is possible to implement control algorithms both by its phase-frequency characteristics and by its time constant. In the first case, the phase-frequency characteristic is measured at an a priori set frequency. In the second case, there is no such restriction. When using as a mathematical model of the gas generator the transfer function in the form of a fractional-rational function of the second order, the implementation of algorithms for its control can be carried out directly using the phase-frequency characteristics of the gas generator. With this implementation of algorithms for monitoring the technical condition of gas generators, the measurement of the values of their phase-frequency characteristics is carried out at several frequencies. This approach to the control of gas generators can increase the reliability of its results. All methods of monitoring the technical condition of gas generators of hydrogen storage and supply systems are focused on the use of tolerance criteria. The parameters of the tolerance criteria can be both the values of the time constants of gas generators of hydrogen storage and supply systems, and fixed values of the phase-frequency characteristics of such gas generators. In the latter case, control algorithms are implemented that cover the entire operating frequency range of gas generators.

Fuzzy particle swarm optimization control algorithm implementation in photovoltaic integrated shunt active power filter for power quality improvement using hardware-in-the-loop

This paper proposes a hybrid fuzzy particle swarm optimization (FPSO) technique with a photovoltaic fed shunt active power filter (SAPF) to improve power quality and deliver clean electricity. Maximum power point tracking (MPPT) is achieved using the FPSO system, and synchronous reference frame theory-based SAPF is controlled using fuzzy logic. The FPSO tracks the MPP using duty cycle control and to extract the maximum power, the MPPT algorithm adjusts the duty cycle of a boost converter. A SAPF connects the boost converter output to the grid. The system response compared with a conventional control algorithm. The proposed control scheme was simulated and real-time tested on the Hardware-in-the-Loop using OPAL-RT 4510 system. The planned system has a total harmonic distortion of 2.22% and a sampling time of 30 μs. The results reveal that the proposed controller performs well under various load conditions.