I'm working on a project focused on developing a guidance and control system for a lunar lander using Model Predictive Control (MPC). The goal is to ensure a smooth and efficient landing by optimizing the lander's descent trajectory while minimizing fuel consumption. The system accounts for mass depletion, thrust vectoring, rotational motion, and external disturbances.
The lander’s movement is modeled in six degrees of freedom (6-DOF), and an MPC-based controller computes the best thrust and orientation adjustments at each timestep. To validate performance, we have a high-fidelity simulation implemented in Python using CasADi for nonlinear optimization. The system considers trajectory constraints, actuator limits, and disturbances while maintaining stability. The simulation helps analyze state trajectories, velocity changes, angular motion, and fuel usage to ensure the controller performs as expected.
I’ve made significant progress on the open-loop dynamics, which solve the optimal control problem and generate control inputs. However, implementing a closed-loop solution has been challenging. While the open-loop works perfectly, the closed-loop version struggles to find solutions efficiently after about 20 horizon steps—either failing to converge or taking excessive iterations.
I have two files:
The first file solves the optimal control problem and generates control inputs.
The second file applies these control inputs to real-world dynamics while accounting for disturbances.
Would you be available to review my MPC_02 file and help troubleshoot the issue? If you think you can assist in refining the controller, optimizing computational efficiency, and improving real-time feasibility, I’d be happy to discuss further and schedule an online meeting at a convenient time.
Looking forward to your thoughts!
Hello, good time
Hope you are doing well
I'm expert in MATLAB/Simulink, Python, HTML5, CSS3, Java, JavaScript and C/C#/C++ programming and by strong mathematical and statistical background, have good flexibility for solve your project. I have many experience practical and theoretical in implementation different algorithms (such as: state estimation and Kalman filter, design controller, analysis closed loop stability, signal and systems, signal processing, heuristic optimization, fuzzy logic, neural network and machine/deep learning fields). Evidence of this claim exist in the portfolio.
I have read your project description and I can help you (without any plagiarism).
Please send me the details of your project.
Thanks for attention
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Hello, I am a Researcher in Electrical Engineering with specialization in Control Systems (Linear and Nonlinear Control Systems). I have Bachelor's Degree in Electronics Engineering. My Area of Specialization is Prodcut Designs , Prototyping, Control System & Unmanned Aerial Vehicles (UAVs) and My Major skills are PCB design, Arduino, c/c++ MATLAB, Simulink,FPGA Mathematics, Statistics, Numerical, Logical and Verbal Reasoning, Modeling, Design and Analysis.
I am an professional embedded software and hardware designer and I have done many project using wireless modules like ESP32.
I have excellent skills in these:
* SHL (Numerical+Logical+Vebal Reasoning), Korn Ferry
* MATLAB
* Simulink
* Mathematica
* Logisim
* Quite Universal Circuit Simulator (QUCS)
i'll be looking forward to have more discussion with you on the project.
Hello.
I've solved your issues and have a working code; also, I addressed several potential problems with overall numerical accuracy. Since it took much time to make computational tests and time is money, my bid is quite high.
Regards
Expert in Lunar Lander Guidance and Control using Model Predictive Control (MPC): I got you! With expertise in 6-DOF modeling, MPC-based trajectory optimization, and high-fidelity simulation in Python, I assure you of top-notch quality and timely delivery. Let's discuss your project details and explore my previous work samples to kickstart this collaboration. Looking forward to hearing from you soon! Kind regards, Haroon Z
.
Hello,
✅✅I have checked the files and I am able to fix the issue. Just Contact me.
➡️I am from India, GMT +5:30, and I am available from 8:00 a.m. to 11:00 p.m. We have 16+ years of experience in software development. We have developed over 600 projects and research papers in the fields of NLP, machine learning, artificial intelligence, networking and SEO-based web and mobile apps.
Hi,
I’d love to support you with your lunar lander MPC project.
As an experienced Python developer, I’m excited to troubleshoot your closed-loop issues. I’ve reviewed your code and see the convergence problem.
What’s your timeline for this fix ?
With my skills in nonlinear optimization and control, I’m confident in refining your controller for smooth, fuel-efficient landings. Looking forward to your response.
Best regards, Jonathan
Hello,
I’d be happy to assist you in reviewing your MPC_02 file and troubleshooting the closed-loop issues you're facing with your lunar lander project. From your description, it sounds like the challenge is related to the convergence of the MPC algorithm and computational efficiency as the horizon steps increase. I can help analyze the root cause of the inefficiencies and suggest improvements for better real-time feasibility.
By reviewing your current implementation, we can explore optimization techniques, possibly improving the solver settings, adjusting the horizon step, or implementing other computational strategies to reduce iteration times and ensure better performance. I'd be glad to schedule an online meeting at your convenience to dive deeper into the code and refine the controller for optimal results.
Looking forward to discussing further!
Best regards,
Dotgix Technologies.
Hello there!
I am ready to take on your Lunar Lander Model Predictive Control project. I can assist in reviewing your MPC_02 file to troubleshoot the closed-loop efficiency issues. With expertise in Control System Design and Python, I will optimize computational efficiency and enhance real-time feasibility. Let's refine your controller for smoother landings and minimal fuel consumption. I am well-versed in Neural Networks, Matlab, and Mathematica, ensuring a comprehensive approach to your project. Feel free to share the files for a detailed analysis and discussion. Looking forward to collaborating on this exciting project!
How critical is the closed-loop efficiency issue for the success of your lunar lander project?
Cheers, RedBrick American Engineering
Dear Client,
I am excited about your lunar lander project focusing on Model Predictive Control (MPC) for guidance and control. I have extensive experience in Python and AI, making me well-equipped to assist in refining your controller, optimizing computational efficiency, and improving real-time feasibility. I am confident that my skills align perfectly with the requirements of your project, and I am eager to help troubleshoot the issues you are facing with the closed-loop solution. I believe that my expertise can contribute significantly to enhancing the performance of your system. I look forward to discussing further details and potentially collaborating on this intriguing project.
Best regards,
Hi there,
I just read your job posting and understood most of the requirements. I can build your project more efficient with my knowledge. Along with your project requirement, I'll provide you clean source code.
I have 10 years of experience in web development and I have extensive experience in Python, Matlab and Mathematica, Electrical Engineering, Neural Networks, Control System Design and other technologies relevant to your project.
I am ready to start immediately and work full time on your time-zone with responsive communication.
Please let me know if you have any questions or would like to discuss further details about this project. Thank you again for considering my bid!
Best regards,
Cleyton
I’d be delighted to assist with troubleshooting and refining your closed-loop Model Predictive Control (MPC) implementation for the lunar lander project. With extensive experience in control systems, nonlinear optimization, and Python-based simulations, I can help identify the bottlenecks causing inefficiencies or convergence issues in your MPC_02 file.
From your description, it seems the challenge lies in maintaining real-time feasibility and stability as the horizon steps increase. I can review your code to:
Diagnose why the closed-loop controller struggles with convergence after 20 steps.
Optimize the computational efficiency of your CasADi-based solver.
Refine trajectory constraints and actuator limits to improve robustness against disturbances.
Let’s connect to review your files and discuss potential solutions. I’m confident we can enhance the controller’s performance for real-time applications.
Looking forward to collaborating!
As an electrical engineer deeply invested in hardware design and software development, I believe I can bring a unique perspective to your project. My extensive experience in circuit design, PCB fabrication, and embedded systems programming would be of significant value when working with the high-fidelity simulation for your lunar lander system. I have a proven track record of optimizing computational efficiency for real-time applications, which aligns perfectly with your needs for refining the controller and making the closed-loop version more efficient.
Moreover, my skillset expands beyond just electrical engineering; I bring to the table expertise in enterprise software engineering and web development as well. This diverse range of skills has made me adept at finding solutions to complex problems – be it hardware or software-based.
Finally, beyond what I can do technically, my dedication to finding innovative solutions, my passion for pushing boundaries – all encourage me to think outside the box while maintaining pragmatism. I'm not here just to build elaborate systems, but more importantly, robust and practical ones that truly make a difference. Your project represents a fantastic opportunity where these qualities can blend harmoniously. I eagerly look forward to meeting you soon!
That sounds like an exciting and complex project! ? Given my background in Automation and Systems and my experience with control systems, optimization, and embedded applications, I'd be happy to help analyze and troubleshoot your closed-loop MPC implementation.
Potential Issues with the Closed-Loop MPC:
Numerical Stability & Convergence Issues
The solver might struggle due to increasing nonlinearities, numerical stiffness, or poor warm-starting strategies after 20 steps.
Computational Bottlenecks
Real-time feasibility can be affected by CasADi solver settings, constraint formulation, or excessive computation time.
State Feedback & Prediction Mismatch
The transition from open-loop to closed-loop may introduce unmodeled dynamics or state estimation errors.
How I Can Assist:
✅ Review Your MPC_02 File – Identify why the solver fails after 20 steps.
✅ Optimize Computational Efficiency – Improve solver settings, warm-starting, and constraint handling.
✅ Enhance Robustness – Tune constraints, improve handling of disturbances, and ensure real-time feasibility.
? If needed, we can schedule a meeting to discuss improvements.
Looking forward to collaborating on this lunar landing optimization! ?
