STM32 Solar Tracker Firmware

@tshibsamuel477

Hi there, I have carefully reviewed your requirements and the provided STM32F407 solar-tracker documentation. I can develop the complete, clean and non-blocking STM32CubeIDE firmware, including automatic solar tracking, MPU6050 feedback, manual override, PWM/DIR motor control, GPS/RTC handling, data logging, UART/RS-485 communication, safety limits, and calibration/tuning. I have already worked with all the main technologies involved, including STM32F4, CubeMX/HAL, FreeRTOS, MPU6050, NEO-6M GPS, SD/FATFS, UART, RS-485/Modbus, RTC, PWM motor control, and embedded state-machine design. Given my mechatronics and embedded-firmware experience, I can move quickly toward your requested two-week first working build while keeping the code structured, documented, and easy to extend. Send me a message with the final hardware configuration and control requirements, and I can start immediately. Best regards, Samuel tshibangu

@aliabidlodhi74

Hi, I can develop the STM32F407VET firmware for your stand-alone single-axis solar tracker with clean, extendable embedded C code. I have 11+ years of experience in embedded systems, STM32 firmware, motor control, sensor integration, and data logging applications. I am experienced with STM32CubeIDE, CubeMX, HAL drivers, and real-time embedded architectures. For your project, I will deliver: * Complete STM32F407VET firmware in C * STM32CubeMX .ioc configuration * Ready-to-flash .bin file * IMU integration, calibration, and sensor data processing * Sun tracking algorithm implementation based on your selected approach * PID motor control with actuator handling and limit switches * Manual override through buttons/UART with instant switching between modes * microSD data logging with timestamped records * UART live monitoring stream * Wiring diagram for IMU, H-bridge drivers, limit switches, and SD module * README covering build process, calibration, and PID tuning I will structure the firmware into independent modules for sensor acquisition, tracking logic, motor control, communication, and logging to keep the system reliable and easy to expand. I will focus on non-blocking operation, stable control loops, and reliable long-term logging for 24-hour operation. I can start by reviewing your current hardware setup, IMU model, motor drivers, and STM32 configuration. Best regards. Muhammad Ali

@elect2eng

I have done programming for stm32 micro controller, have done arduino based solar tracker. I have used C code to calculate the location based on the current location details and time of day. I have used imu for another project, so in effect I have done programming with all these components. We can discuss.

@alluankit01

Hi, I can develop the STM32F407VET firmware for your stand-alone solar tracker with automatic tracking, manual override, SD logging, and UART monitoring. For accurate sun tracking, I would use an astronomical sun-position algorithm based on date/time and site coordinates, while the IMU provides panel attitude feedback. The IMU alone cannot determine the actual sun vector without this time/location reference. I can deliver: • STM32CubeIDE C project • CubeMX .ioc + ready-to-flash .bin • IMU calibration and attitude estimation • Sun-position calculation • PID actuator control • H-bridge + limit-switch handling • Push-button and UART manual jog mode • Instant manual/auto handover • Non-blocking firmware architecture • micro-SD FATFS logging • Timestamped attitude, command and health records • Simultaneous UART telemetry • Fault/limit protection • Wiring/pinout diagram • README for build, calibration and PID tuning I’m comfortable with STM32F4, HAL, FreeRTOS, IMU integration, PID control, SD/FATFS, UART, timers, ADC, GPIO and embedded C. I can target a first working build within 10–14 days and keep the code modular for later expansion. Best regards Ankit

@shenglin0617

Hi, I've built STM32F4-based motion controllers with IMU fusion and SD logging—this fits well. I'll deliver clean non-blocking C in CubeIDE, FreeRTOS for task separation. Approach: Sun tracking: Use gyro/accel fusion (complementary or Madgwick) to get attitude. Compute sun vector from time + date + latitude/longitude (NOAA algorithm or simplified). Drive two axes via PID to minimize angular error. No light sensors—pure inertial + ephemeris. Manual override: Button ISR + UART command parser. Suspend tracking task, allow jog via PWM, resume instantly on command. State machine handles transitions cleanly. Logging: FreeRTOS task writes timestamped CSV to SD via FatFS (SPI or SDIO). Separate UART task streams same data. Ring buffer prevents overflow. 24h at 1Hz = ~86k records, well within SD capacity. Deliverables: full source + .ioc + .bin, wiring diagram (IMU/H-bridge/limit switches/SD), README with build steps, IMU calibration, PID tuning guide. Timeline: 2 weeks for working build. Milestones: sensor bring-up + fusion -> tracking + PID -> logging + UART -> integration test. Share your IMU model, H-bridge type, and actuator feedback (encoder or open-loop?). I'll confirm fixed price. Regards, ShengLin Gu.

@hexabitzprojects

Hi, This project closely matches my **16 years of embedded R&D experience** with STM32, IMU/sensor fusion, motor control, PID, SD logging and non-blocking firmware. I have completed STM32/ESP32 motion-control and industrial automation projects involving actuators, sensors and real-time data logging. I can develop the complete **STM32F407VET CubeMX/CubeIDE firmware** with IMU calibration, attitude estimation, actuator/PID control, manual push-button/UART override, limit switches, SD-card logging and simultaneous UART monitoring. The firmware will use a clean, non-blocking architecture with configurable parameters and separated driver/application layers. I will provide the `.ioc`, complete source, ready-to-flash `.bin`, wiring diagram and README covering calibration and PID tuning. One important technical point: **an IMU alone cannot determine the absolute sun vector**. Time/date and geographic location are required to calculate the astronomical sun position; the IMU provides the panel attitude for alignment. I will implement this correctly rather than relying on an inaccurate IMU-only assumption. I can also validate the ±2° target using a 24-hour simulated sun trajectory and stress-test SD logging for long-duration operation. Best regards, **Subhash Suman** STM32 | IMU | Motor Control | PID | Data Logging **16 Years R&D Experience**

@arshad0395

I have experience in Embedded C. I have worked on projects involving STM32 Boards, STM32CubeIDE, FreeRTOS. I have experience in UART, I2C and SPI. I will do my best to do a scalable code development.

@recssystems

With over a decade of combined experience at RECS Systems, specializing in embedded systems and firmware development, we are uniquely positioned to tackle your STM32 Solar Tracker Firmware project. Our core competencies in C programming, Electronics, Embedded Systems, and Microcontrollers align perfectly with the needs of this assignment. We have proven abilities in all the key areas required for the task ranging from predicting the sun vector through gyroscope/accelerometer readings, controlling actuators for automatic sun tracking to enabling manual control override through push buttons or simple UART commands. We can ensure data logging and real-time monitoring with simultaneous streaming through our profound understanding of SD card storage and UART communication. Our commitment to clean, non-blocking code that is heavily commented and structured to allow for future scalability matches your requirement for ready-to-integrate code. We always strive to leave our clients with more than they expect; hence will also provide you with the CubeMX .ioc file, wiring diagrams, and detailed README.

@vladislavl45

With over 8 years vested in designing and delivering reliable, production-ready embedded solutions just like your solar tracker project, I'm the perfect match to handle your STM32 Solar Tracker Firmware. As an ultra-low power specialist, I recognize how vital this skillset is for a battery-operated system like yours. In conjunction with my embedded systems expertise, including hardware and firmware integration and debugging, I'll guarantee you a clean, non-blocking C firmware that compiles on STM32CubeIDE for the F407VET. Moreover, my proficiency in motor control systems (PID and stepper/servo) perfectly aligns with one of your project's core components— the automatic sun tracking system. Even better, I'm well-versed with HAL drivers and have experience using FreeRTOS— an asset that will prove valuable should you opt for multi-threading in future iterations of your firmware. As for your data logging and monitoring requirement, I have an excellent track record working with UART interfaces and micro-SD cards. Finally, my penchant for post-project support ensures I don't just vanish after completion but rather offer assistance even long after the project has been wrapped up. Let's get started! Let's ensure your solar panel stays aligned all day every day relying only on a gyroscope/accelerometer

@InjectAI

I read the requirements carefully. I have experience with embedded systems, robotics, Python/CV integration, ESP32, Raspberry Pi, PX4, and hardware-software projects, and I can structure STM32 firmware cleanly for later extension. For the STM32F407VET I would build a non-blocking CubeIDE project with: • STM32 HAL-based C firmware and CubeMX .ioc • IMU interface, calibration, filtering and attitude estimation • Automatic tracking state machine with actuator control and safety limits • Push-button/UART manual override with immediate jog and resume • SD-card logging with timestamped records and robust file handling • Simultaneous UART telemetry for live monitoring • Motor command, attitude and health monitoring • Limit-switch handling and fault states • PID/control parameters separated into configurable modules • .bin firmware, wiring diagram and detailed README One important technical point needs clarification before implementation: an accelerometer/gyroscope can estimate attitude relative to gravity, but it cannot independently determine the absolute sun vector. Reliable sun-vector prediction also requires a reference such as time/date plus geographic location or another external reference. I would therefore validate the proposed tracking method against your bench-top simulation before committing to the ±2° acceptance criterion.