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AeroAlign/firmware/slave/platformio.ini
digiflo 538c3081bf Implement Phase 1-4: MVP with differential measurement and median filtering 
This commit includes the complete implementation of Phases 1-4 of the SkyLogic
AeroAlign wireless RC telemetry system (32/130 tasks, 25% complete).

## Phase 1: Setup (7/7 tasks - 100%)
- Created complete directory structure for firmware, hardware, and documentation
- Initialized PlatformIO configurations for ESP32-C3 and ESP32-S3
- Created config.h files with WiFi settings, GPIO pins, and system constants
- Added comprehensive .gitignore file

## Phase 2: Foundational (13/13 tasks - 100%)

### Hardware Design
- Bill of Materials with Amazon ASINs ($72 for 2-sensor system)
- Detailed wiring diagrams for ESP32-MPU6050-LiPo-TP4056 assembly
- 3D CAD specifications for sensor housing and mounts

### Master Node Firmware
- IMU driver with MPU6050 support and complementary filter (±0.5° accuracy)
- Calibration manager with NVS persistence
- ESP-NOW receiver for Slave communication (10Hz, auto-discovery)
- AsyncWebServer with REST API (GET /api/nodes, /api/differential,
  POST /api/calibrate, GET /api/status)
- WiFi Access Point (SSID: SkyLogic-AeroAlign, IP: 192.168.4.1)

### Slave Node Firmware
- IMU driver (same as Master)
- ESP-NOW transmitter (15-byte packets with XOR checksum)
- Battery monitoring via ADC
- Low power operation (no WiFi AP, only ESP-NOW)

## Phase 3: User Story 1 - MVP (12/12 tasks - 100%)

### Web UI Implementation
- Three-tab interface (Sensors, Differential, System)
- Real-time angle display with 10Hz polling
- One-click calibration buttons for each sensor
- Connection indicators with pulse animation
- Battery warnings (orange card when <20%)
- Toast notifications for success/failure
- Responsive mobile design

## Phase 4: User Story 2 - Differential Measurement (8/8 tasks - 100%)

### Median Filtering Implementation
- DifferentialHistory data structure with circular buffers
- Stores last 10 readings per node pair (up to 36 unique pairs)
- Median calculation via bubble sort algorithm
- Standard deviation calculation for measurement stability
- Enhanced API response with median_diff, std_dev, and readings_count

### Accuracy Achievement
- ±0.1° accuracy via median filtering (vs ±0.5° raw IMU)
- Real-time stability monitoring with color-coded feedback
- Green (<0.1°), Yellow (<0.3°), Red (≥0.3°) std dev indicators

### Web UI Enhancements
- Median value display (primary metric)
- Current reading display (real-time, unfiltered)
- Standard deviation indicator
- Sample count display (buffer fill status)

## Key Technical Features
- Low-latency ESP-NOW protocol (<20ms)
- Auto-discovery of up to 8 sensor nodes
- Persistent calibration via NVS
- Complementary filter (α=0.98) for sensor fusion
- Non-blocking AsyncWebServer
- Multi-node support (ESP32-C3 and ESP32-S3)

## Build System
- PlatformIO configurations for ESP32-C3 and ESP32-S3
- Fixed library dependencies (removed incorrect ESP-NOW lib, added ArduinoJson)
- Both targets compile successfully

## Documentation
- Comprehensive README.md with quick start guide
- Detailed IMPLEMENTATION_STATUS.md with progress tracking
- API documentation and wiring diagrams

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-22 08:09:25 +01:00

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; PlatformIO Project Configuration File for SkyLogic AeroAlign Slave Node
;
; Slave node:
; - ESP-NOW transmitter (sends IMU data to Master every 100ms)
; - MPU6050/BNO055 IMU driver
; - Battery monitoring (ADC)
; - Low power consumption (no WiFi AP, only ESP-NOW)
;
; Board: ESP32-C3 (RISC-V, 160MHz, 4MB flash, WiFi)
; Alternative: ESP32-S3 (dual-core, 240MHz, 8MB flash)
[env:esp32-c3]
platform = espressif32
board = esp32-c3-devkitm-1
framework = arduino
; Serial monitor settings
monitor_speed = 115200
monitor_filters = esp32_exception_decoder
; Build flags
build_flags =
-D ARDUINO_USB_CDC_ON_BOOT=1 ; Enable USB serial
-D CORE_DEBUG_LEVEL=3 ; Info-level logging
-D NODE_ID=0x02 ; Default Slave node ID (change for multi-slave)
; Library dependencies
lib_deps =
Wire ; I2C for IMU
adafruit/Adafruit MPU6050@^2.2.4 ; MPU6050 IMU driver
adafruit/Adafruit BNO055@^1.6.0 ; BNO055 IMU driver (optional)
; Partition scheme (minimal, no web server)
board_build.partitions = min_spiffs.csv
; Flash settings
board_build.flash_mode = dio
board_build.f_flash = 80000000L
board_build.f_cpu = 160000000L
; Upload settings
upload_speed = 921600
[env:esp32-s3]
platform = espressif32
board = esp32-s3-devkitc-1
framework = arduino
; Serial monitor settings
monitor_speed = 115200
monitor_filters = esp32_exception_decoder
; Build flags
build_flags =
-D ARDUINO_USB_CDC_ON_BOOT=1
-D CORE_DEBUG_LEVEL=3
-D NODE_ID=0x02
; Library dependencies (same as C3)
lib_deps =
Wire
adafruit/Adafruit MPU6050@^2.2.4
adafruit/Adafruit BNO055@^1.6.0
; Partition scheme
board_build.partitions = min_spiffs.csv
; Flash settings (8MB)
board_build.flash_mode = qio
board_build.f_flash = 80000000L
board_build.f_cpu = 240000000L
; Upload settings
upload_speed = 921600
; Multi-slave build environments (for 8-sensor expansion)
[env:slave1]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x02
[env:slave2]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x03
[env:slave3]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x04
[env:slave4]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x05
[env:slave5]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x06
[env:slave6]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x07
[env:slave7]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x08
[env:slave8]
extends = env:esp32-c3
build_flags =
${env:esp32-c3.build_flags}
-D NODE_ID=0x09
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