MATLAB Simulink PV Inverter Control -- 2

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@kingch91

Hi, I have read and understood your requirements. I specialize in grid-connected inverter control modeling and will deliver exactly what this project requires. Phase 1 — Baseline replication: I'll reconstruct the paper's PI + resonant current controller with identical parameters, LCL filter, PLL, and test grid. Key waveforms will be reproduced within an agreed tolerance before any further work begins. Phase 2—ANN integration: Once the baseline is validated, I'll design, train, and embed an ANN controller (feedforward or NARX depending on the required dynamics) as a clearly modularized, toggle-switchable block within the same model. Phase 3 — Benchmarking & report: Both controllers run over identical scenarios—irradiance steps, load changes, and grid variation. Results are compared on THD, settling time, and efficiency, presented in a concise technical report with overlaid plots and numerical tables. Deliverables: Commented Simulink models, MATLAB training scripts, reusable scenario/test harness, and the technical report. All files execute without errors in your stated MATLAB version. I've handled similar hybrid control schemes before and can share relevant prior outputs on request. Happy to discuss the reference paper directly before work begins. Please open chat window to discuss further details.

@hayteekeys

HI, KINDLY READ THROUGH MY PROPOSAL I will deliver a complete, modular MATLAB/Simulink model that exactly replicates the PI + Resonant current controller from the published paper, then seamlessly integrates a trained ANN-based controller for direct side-by-side comparison demonstrating measurable improvements in response time,. MY APPROACH ✅ Phase 1: Precise replication of the paper’s system (PV array, DC-link, inverter topology, PI+Resonant controller, grid synchronization, test scenarios). ✅ Phase 2: Design and train ANN controller (modular block, feedforward or RBF architecture) running in parallel with the classical controller. ✅ Phase 3: Run identical test cases, generate comparison plots/tables, compile concise technical report, and provide training scripts. DELIVERABLES • Fully commented Simulink model (.slx) with clear toggle between PI+Resonant and ANN modes • MATLAB scripts for ANN training, data generation, and automated comparisons • Technical report (PDF) with methodology, waveforms, tables, and discussion of improvements • Custom data sets / lookup tables for weather variability and load changes • Commissioning notes and test scenarios QUESTIONS 1. Can you please share the published paper (PDF or link) or at minimum its title/authors/year so I can match parameters exactly? 2. Which MATLAB/Simulink version are you using (R202x)? 3. Any preferred ANN architecture or specific performance targets beyond response time/THD/efficiency?

@hayat38402

Hi, how are you doing? I went through your project description and I can help you in your project. your project requirements perfectly match my expertise. We are a team of experts with substantial background in ELECTRICAL and ELECTRONICS Engineering working on MATLAB programming and SIMULINK Modelling, we have successfully completed 1000+ Projects for multiple regular clients from OMAN, UK, USA, Australia, Canada, France, Germany, Lebanon and many other countries. We are providing our services in following areas:  Digital Signal Processing | Filter design | Fourier analysis  Image Processing | Object Detection | Image Segmentation | Feature Extraction  Control systems | PID Controller design | Observer design  Power Systems | AC-DC Hybrid Micro-grid | Fault detection | Energy Management  Artificial Intelligence | Machine Learning | Python  Neural Networks | ANFIS | Fuzzy logic Also, we have good command over REPORT WRITING, we can show you many samples of our previous reports. We can discuss further details in the message box.

@khaliduom103

‎Hi i am an experienced Matlab and simulink developer and have did similar projects in this platform.i can help you in all such projects. ‎

@SakibKaiser

Hello, The hardest part of this project isn't just placing Simulink blocks; it’s uncovering the hidden tuning parameters often omitted in research papers to achieve an exact baseline match, and ensuring the new ANN controller remains stable under dynamic grid variations without introducing algebraic loops. I will solve this by meticulously reverse-engineering the PI + Resonant baseline to replicate your paper's exact waveforms. Once validated, I will design, train, and integrate a custom ANN controller to optimize the inverter's transient response time and minimize Total Harmonic Distortion (THD) under varying irradiance and load conditions. Why I am the right fit: I have successfully completed 10+ advanced MATLAB/Simulink projects involving grid-connected power electronics, inverter control, and hybrid AI systems. I know exactly how to modularize these models so you can easily toggle between the classical PI and the ANN approach for side-by-side validation. You will receive the fully commented .slx models, the MATLAB training scripts, and a comprehensive technical report quantifying the efficiency and THD improvements. Please share the reference paper/resources so I can review the baseline parameters and we can get started immediately. Best regards, Shakib A.

@divyam12345

Dear, With over 10 years of experience in MATLAB and Simulink, I have worked extensively on modeling and simulating various power electronics systems, including grid-connected photovoltaic inverters. My expertise spans from classical control strategies, such as Proportional-Integral (PI) controllers, to more advanced approaches, including Resonant controllers and artificial intelligence-based control techniques like Artificial Neural Networks (ANNs). I have successfully replicated control models from academic papers, ensuring that all parameters, grid settings, and waveform plots match the original results. In addition, I have designed custom blocks and reusable datasets for simulating real-world conditions, such as weather variability, load fluctuations, and grid conditions, ensuring a high level of flexibility in model design. In recent projects, I have also integrated intelligent control schemes, leveraging ANNs for dynamic load adaptation, efficiency optimization, and harmonic distortion minimization. This includes designing, training, and testing ANNs in MATLAB, developing robust scripts to tune neural network parameters for optimal performance under varying conditions. My deliverables are always fully documented, with a focus on clarity and reproducibility, ensuring that the results align with the target criteria while presenting clear advantages in key metrics.

@Bhartifreelancer

Hello, Since you are looking for a Matlab Simulink expert who can not only replicate but enhance the control system for your grid-connected photovoltaic inverter, look no further because I am just what you need. Having studied electrical engineering and specialized in control systems, I bring extensive expertise to the table that perfectly aligns with your project's requirements. Not only am I proficient in Matlab/Simulink, with a clear grasp on PI+Resonant and ANN-based controllers, but I also possess strong problem-solving skills to effectively tackle any challenges we may encounter during the simulation process. Through my detailed understanding of electrical systems and my excellent command over Matlab/Simulink, I will successfully simulate the baseline model with precision, ensuring key figures from the reference paper are matched closely. Moreover, plugging an ANN-based control structure into the replicated model and analyzing its impact on response time, harmonic distortion, and overall efficiency is something I'm keen and excited to do. Best regards Bharti

@tayyabovgu

hi , I can help with this; I have experience of several years of making such models. please review and come back to discuss more

@mehwishb3

As a MATLAB/Simulink expert I want to offer my services. I have prior experience of working on PV inverters. Let's connect to discuss details further.

@Shahabijan

 I have a good experience with application of control techniques and automation strategies in matlab/Simulink, LABVIEW, GMWIN and PLCs along with in-depth knowledge of electronics, sensors and instrumentation etc. I am also supervising a project on the Design and implementation of environmental control system for poultry farms using PLC.  I am currently teaching piping and instrumentation diagram (P&ID) to the students of electrical engineering. Also discussed various plant models and their working involving temperature control, pressure control, flow control, heat exchanger based systems, mixing etc. The standard model ANSI/ISA S5.1-1984 (R1992) Instrumentation Symbols and Identification have been used as a reference.  Have good knowledge about the different types of sensors/transducers used and their accompanying signal conditioning. Have sufficient knowledge about the different kinds of valves and actuators along with the final control elements.  I have good idea about wiring diagrams for the different circuits and equipment and how to read and implement wiring diagrams. Types and uses of circuit breakers, relays, safety and timer based operation like bottle filling, conveyor belt, feedstock are also known to me.  I am also conducting lab for this course, which covers ladder diagram programming and is implemented on ED-4260 PLC Trainer. The PLC is GLOFA GM-4 and the software used to program it is GMWIN.

@Tahir789

I'm a licensed professional electrical engineer with 6+ years of specialized experience in MATLAB/Simulink for power electronics, grid-connected inverters, control system design, and renewable energy systems, and I will replicate the published PI + Resonant current controller, validate against paper results, then design and integrate an ANN-based control structure with comprehensive performance comparison and analysis. I have extensive expertise in grid-connected PV inverter modeling including current control strategies (PI, PR, resonant controllers), grid synchronization and phase-locked loops, power quality and harmonic analysis. I will develop complete Simulink models starting with exact replication of the published PI + Resonant controller using identical parameters. The simulation will include flexible test scenarios with standard grid settings (voltage, frequency variations), weather variability (irradiance changes, temperature effects on PV output), load change dynamics (step loads, ramp changes), and grid fault conditions if relevant to paper scope. I will create reusable blocks and datasets for consistent testing across both control approaches. Deliverables include fully commented Matlab script or Simulink model of PI + Resonant baseline controller with clear documentation, ANN-enhanced controller integrated as modular subsystem with toggle capability, MATLAB scripts for ANN training. I can start immediately and deliver it quickly. Best Regards, Tahir Saleem

@moada9144

Dear Hiring Manager, I am very interested in your project involving the reproduction and enhancement of a grid-connected photovoltaic inverter control model in MATLAB/Simulink. With a strong background in engineering, mathematical modeling, control systems, and simulation, I am confident in my ability to successfully replicate the published PI + Resonant controller and extend it using an ANN-based intelligent control strategy. I have experience working with MATLAB/Simulink for dynamic system modeling, numerical analysis, and control-system implementation. My multidisciplinary background in engineering, mathematics, and computational modeling allows me to approach advanced inverter-control problems with both theoretical rigor and practical simulation expertise. For this project, I can: * Reproduce the original PI + Resonant controller exactly as described in the reference paper * Match parameters, test conditions, and waveform outputs to validate the baseline model * Develop and integrate an ANN-based controller within the same Simulink architecture * Train, tune, and evaluate the neural network under varying operating conditions * Perform comparative analysis focusing on response time, THD reduction, stability, and efficiency * Build modular and well-documented Simulink subsystems for easier future modifications Best regards, Hassan Bouamoud

@uzairelectronics

Hello, I can reproduce your grid-connected PV inverter model in MATLAB/Simulink starting with the exact PI + Resonant current controller from the paper. The first step will be to match all parameters, grid conditions, and switching behavior so the baseline waveforms, THD, and dynamic response closely align with the reference results. After validating the baseline, I will design and integrate an ANN-based controller into the same Simulink model. The architecture will be modular so you can switch between classical PI+Resonant and ANN control for direct comparison under identical conditions. The ANN will be trained using MATLAB tools with data generated from the verified baseline system. I will tune it for stability, fast transient response, and harmonic reduction while ensuring it behaves reliably under load changes, grid variation, and irradiance fluctuations. Deliverables will include a fully commented Simulink model, MATLAB scripts for ANN training and simulation, and a concise technical report with waveform plots, THD comparison, and performance tables. The final system will allow clear side-by-side evaluation of classical vs intelligent control in terms of response time, harmonic distortion, and efficiency. Best regards, Engr. Muhammad Uzair

@riogushiken1114

Hi there, ❤️❤️❤️ I’ve reviewed your MATLAB/Simulink PV inverter control project and it aligns strongly with my experience in power electronics control, grid-connected inverter modeling, and ANN-based optimization. I can reproduce the PI + Resonant controller from the paper, validate the baseline waveforms, then extend it with a modular intelligent ANN controller for direct comparison. How I can help: • Rebuild the published Simulink model with identical parameters, grid settings, waveform validation, and clean commented blocks. • Design, train, and integrate an ANN controller with MATLAB scripts for repeatable testing under weather, load, and grid variations. • Compare response time, THD, efficiency, stability, and other measurable metrics using plots, tables, and a concise technical report. Relevant experience: I’ve worked on similar MATLAB/Simulink studies involving PV arrays, grid-tied inverters, PI/PR current control, harmonic analysis, and neural-network-based control tuning, and I can start working immediately. Approach: I’ll keep the baseline and ANN controller clearly modularized so you can toggle scenarios and reproduce every result without errors. Best regards,

@imranfaiz948

Hi, I can replicate the PI + Resonant control model from your paper in MATLAB/Simulink and match the original results. Then I’ll add an ANN-based controller and compare both approaches under the same conditions. The model will be clean, modular, and easy to switch between controllers. I’ll also provide training scripts, plots, and a short report with clear results. Everything will run smoothly without errors. Let’s start once you share the paper. Best regards, Engr. Muhammad Imran

@abdelrhmans97

Hi, I’d be glad to assist with your MATLAB/Simulink project involving the exact replication of the PI + Resonant PV inverter model and its enhancement with an ANN-based control structure. Your project aligns perfectly with my expertise in power electronics, Model-Based Design, and integrating AI controllers to improve grid harmonics. I have prepared a complete proposal for this project, please open chat window to discuss in details. Thanks

@oleksiir2

As an experienced electrical engineer with a strong background in electronics and engineering, I am keenly aware of the importance of precise replication and the nuances of testing. My proficiency in Matlab/Simulink will enable me to recreate the PID + Resonant controller model from your reference paper accurately, including waveform plots and system parameters. I will then expand this simulation to integrate an intelligent artificial neural network control structure, training and fine-tuning it to respond effectively to changes in weather variability, load shifts, and standard grid settings. What sets me apart is my focus on building systems that last and optimization that extends beyond the simulations. I combine theoretically driven modeling practices with practical viability considerations that engender designs ready for manufacturing. This gives you the confidence that not only will your simulation align with the reference paper within a reasonable margin but so will the implemented ANN-based control structure. Help me make your vision a reality!

@omarzaigham777

I specialize in MATLAB/Simulink power electronics control and have hands-on experience with grid-connected PV inverters, PI+Resonant current controllers, LCL filter design, and ANN-based control systems — this project is a direct match for my background. My approach: replicate the reference paper's PI+Resonant controller with exact parameters, verify waveforms match published figures, then integrate an ANN controller as a clean modular subsystem in the same model. A simple toggle will allow direct side-by-side comparison under identical grid conditions. Deliverables will include the fully commented Simulink baseline model, ANN-enhanced controller, MATLAB training scripts, .mat data files for irradiance/load/grid scenarios, and a technical report with waveform plots, THD tables, settling-time comparisons, and methodology. Every file will open and run without errors. The report will be presentation-ready. I will also build in test scenario flexibility for weather variability, load steps, and weak-grid conditions as requested. Could you share the reference paper before we start so I can align parameters exactly from day one? Happy to provide sample outputs or prior work on request.