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MicroROS V2 Robot Car📖
01.Introduction
  • 0.Unboxing Video
  • 1. Readme Learning Route
  • 2. Must Read Before Use
  • 3. Introduction to MicroROS V2 Control Board
  • 4. Introduction to LiDAR
  • 5. Introduction to ESP32 Camera Module
  • 6. FAQ
  • 7. About Charging
02.Assembly course
  • Assembly Video
03.Preparation
  • 1. Quickly Start
  • 2. Write Firmware
  • 3. Install VM and Start System
  • 4. Configure VM and Connect Robot
  • 5. Connect to MicroROS Agent
04.Quick start control course
  • 1. VM Keyboard Remote Control
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05.Robot control course
  • 1. Robot Information Release
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  • 4. Robot State Estimation
  • 5. Linear Speed Calibration
  • 6. Angular Velocity Calibration
  • 7. Robot URDF Model
06.Lidar course
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07.Road network planning
  • 1. Introduction to Road Network Planning and Quick Start
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  • 5. Road Network Navigation in Any Pose
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08.Vision basic course
OpenCV Image Processing
  • 1. Introduction to OpenCV Source CV
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  • 4. Open Source CV Image Beautification
09.Visual General Course (For Standard&Superior version)
4. Yolov11&26 Visual Recognition
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Prediction
1. ESP32 Visual Recognition Module Configuration
  • 1. Serial Port Configuration WiFi Instructions
  • 2. Use ESP32 Camera Module in Robot Car
  • 3. Servo PTZ Calibration
2. OpenCV Visual Recognition
  • 1. Human Pose Estimation
  • 2. Object Detection
  • 3. AR Vision
  • 4. QR Code
  • 5. Color Recognition
  • 6. Facial Recognition
  • 7. AprilTag Machine Code Recognition
3. Mediapipe Visual Recognition
  • 1. Hand Detection
  • 2. Pose Detection
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  • 4. Facial Detection
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  • 6. Facial Special Effects
  • 7. 3D Object Recognition
  • 8. Brush
  • 9. Gesture Recognition
  • 10. Palm Target Localization
  • 11. Fingertip Trajectory Recognition
10.Visual Advanced Course (Just for Standard version)
1. Visual Control
  • 1. QR Code Recognition Control Action
  • 2. AprilTag Control Car Action Group
  • 3. Gesture Control Car Action Group
  • 4. Visual Line Tracking
2. Visual Tracking
  • 1. Color Tracking
  • 2. Facial Tracking
  • 3. QR Code Tracking
  • 4. Object Recognition And Tracking
  • 5. Mediapipe Palm Tracking
  • 6. Mediapipe Gesture Tracking
  • 7. Mediapipe Human Pose Tracking
  • 8. KCF Object Tracking
  • 9. AprilTag Machine Code Tracking
3. Visual Following
  • 1. Color Follow
  • 2. Face Follow
  • 3. QR Code Follow
  • 4. Mediapipe Palm Follow
  • 5. Mediapipe Gesture Follow
  • 6. Mediapipe Human Posture Follow
  • 7. AprilTag Machine Code Follow
  • 8. Object Follow
11.Visual Advanced Course (Just for Superior version)
1. Visual Control
  • 1. QR Code Recognition Control Action
  • 2. AprilTag Control Car Action Group
  • 3. Gesture Control Car Action Group
  • 4. Visual Line Tracking
2. Visual Tracking
  • 1. Color Tracking
  • 2. Facial Tracking
  • 3. QR Code Tracking
  • 4. YOLO Object Recognition and Tracking
  • 5. Mediapipe Palm Tracking
  • 6. Mediapipe Gesture Tracking
  • 7. Mediapipe Human Pose Tracking
  • 8. KCF Object Tracking
  • 9. AprilTag Machine Code Tracking
3. Visual Follow
  • 1. Color Follow
  • 2. Face Follow
  • 3. QR Code Follow
  • 4. Mediapipe Palm Follow
  • 5. Mediapipe Gesture Follow
  • 6. Mediapipe Human Pose Follow
  • 7. AprilTag Machine Code Follow
  • 8. Object Follow
12.AI Large Model Basic and Applications Course
1. AI Large Model Preparation
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2. AI Large Model Basic Course
  • 1. AI Large Model Types and Principles
  • 2. RAG Retrieval Augmented and Training Samples
  • 3. Embodied Intelligent System Architecture
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3. AI Large Model Development
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  • 2. Configure API KEY
  • 3. Dify Introduction
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  • 5. RAG Knowledge Base Deployment
  • 6. AI Application Development Chatbot
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4. AI Large Model (Text Version)
  • 1. Semantic Understanding and Instruction Following
  • 2. Multimodal Visual Understanding
  • 3. Multimodal Visual Understanding + Basic Control
  • 4. Multimodal Visual Understanding + Object Following
  • 5. Multimodal Visual Understanding + Visual Line Following
  • 6. Multimodal Visual Understanding + SLAM Navigation
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  • 8. Multimodal Visual Understanding + SLAM Navigation + Object Following
  • 9. Intent Inference + Multimodal Visual Understanding + SLAM Navigation
13.Openclaw Basics Course
  • 1. Openclaw Introduction
  • 2. Openclaw Core Concepts
  • 3. Openclaw Api-Key Configuration
  • 4. Openclaw Switching Models
  • 5. Openclaw System Prompt
  • 6. Openclaw Common CLI Command
14. Openclaw Interaction Course
  • 1. Openclaw Webchat Interaction
  • 2. Openclaw Tui Interaction
  • 3. Openclaw Whatsapp Interaction
15.Openclaw Development Course
  • 1. Openclaw Robot Mcp Service Integration
  • 2. Robot CLI Command Tools
  • 3. Robot-Control Plugin Tools
  • 4. Openclaw Skills Development
  • 5. Openclaw Scheduled Tasks
  • 6. Openclaw Multi Agent System
  • 7. Openclaw Proactive Interaction
  • 8. Openclaw Vector Memory
16.Openclaw Embodied Intelligence Course
  • 1. OpenClaw Natural Interaction + Basic Control
  • 2. OpenClaw Natural Interaction + Slam Navigation
  • 3. OpenClaw Natural Interaction + Multimodal Visual Understand
  • 4. OpenClaw Natural Interaction + Multimodal Visual Understand + Slam Navigation + Visual Follow
  • 5. OpenClaw Natural Interaction + Multimodal Visual Understand + Slam Navigation + Visual Track
17.Multi-machine Course
  • 1. Multi Machine Handle Control
  • 2. Multi Machine Keyboard Control
  • 3. Multi Machine Navigation
18.MicroROS-V2 Control Board Development Environment
  • 1. Set Up the ESP32-IDF Development Environment
  • 2. ESP32-IDF Configuration Tool
  • 3. ESP Flash Tool Flashing Firmware
  • 4. Install ESP32 Microros Components
  • 5. Install And Start Microros Agent
19.MicroROS-V2 Control Board ESP32 Basic Course
  • 1. Led Light Up
  • 2. Button Function
  • 3. Drive Buzzer
  • 4. Oled
  • 5. Usb Host Function
  • 6. Serial Communication
  • 7. Battery Voltage Detection
  • 8. Drive Pwm Servo
  • 9. Drive Motors
  • 10. Read Motor Encoder Data
  • 11. Pid Motor Speed Control
  • 12. Robot Kinematics Analysis Theory
  • 13. Read Imu Data
  • 14. Read Lidar Data
  • 15. Flash Data Storage
  • 16. Custom Partition Table
  • 17. Bluetooth Communication
  • 18. Wifi Connection
  • 19. ESP32 Visual Recognition Module
20.MicroROS-V2 Control Board Micro_ros Basic Course
  • 1. Publish Topics
  • 2. Subscribe To Topics
  • 3. Multi Topic Subscription And Publishing
  • 4. Subscribe To Buzzer Topic
  • 5. Subscribe To Pwm Servo Topic
  • 6. Subscribe To Speed Control Topic
  • 7. Publish Odometry Topic
  • 8. Publish Imu Data Topic
  • 9. Publish Lidar Data Topic
21. Linux System Course
  • 1.Introduction to Linux system
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  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
22.Docker Course
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23.ROS Basic Course
  • 1.Introduction to ROS2
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  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
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  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
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Download ZIP

Welcome to MicroROS V2 Robot Car repository

10. Read Motor Encoder Data

Reading Motor Encoder Data

Experiment Objective

This section will guide you through reading the pulse data of the motor encoders on the MicroROS-V2 control board. Through this tutorial, you will learn how to use the ESP32-S3's PCNT (Pulse Count) peripheral to perform quadrature decoding of the encoder A/B phase signals, obtain the motor's rotation direction and position information in real time, laying the foundation for subsequent speed closed-loop control (PID).

Experiment Principle

1. Keywords

KeywordDescription
EncoderA sensor that converts the motor's rotation position and speed into electrical signals, usually outputting two quadrature pulse signals, A and B
Quadrature DecodingDetermines both the rotation direction and the pulse count by analyzing the two pulse signals A/B that differ in phase by 90°
PCNT (Pulse Count)The ESP32-S3's pulse counter peripheral, which supports quadrature decoding mode and glitch filtering, with configurable upper/lower limits and automatic accumulation
Accum CountWhen the PCNT count exceeds the upper limit or falls below the lower limit, it automatically resets and continues counting, enabling infinite-range pulse accumulation
Glitch FilterFilters out pulse interference signals narrower than the set value, improving the stability and reliability of encoder readings
Watch PointThe PCNT triggers an event or resets when the count reaches a preset upper/lower limit, used to manage the counting range

2. Technical Architecture

The program performs quadrature decoding of the two motor encoder signals using the ESP32-S3's PCNT peripheral. The M1 encoder is connected to GPIO5 (phase A) and GPIO4 (phase B); the M2 encoder is connected to GPIO7 (phase A) and GPIO6 (phase B). The PCNT is configured in accumulate count mode with upper/lower limits of ±1000, and the glitch filter is enabled (filtering interference < 1000ns). The forward/reverse direction is automatically identified by judging the phase relationship between A/B. The main loop reads the accumulated pulse count of the encoder every 200 ms and prints it.

Main component files:

  • main/main.c — main program entry, reads and prints encoder data every 200 ms

  • components/encoder/encoder.c / encoder.h — encoder driver implementation and interface declarations

Experiment Steps

1. Hardware Preparation

HardwareRequirement
MicroROS-V2 control board✅ Required
USB data cable✅ Required (for power supply and serial monitor)
Battery (12V)✅ Required (to power the motors)
MicroROS-V2 chassis motor with encoders✅ Required (encoder signals already connected to the control board)

2. Prerequisites

  1. ESP32-IDF development environment set up

  2. MicroROS-V2 control board connected to the PC via USB

  3. Battery connected to the control board power interface

  4. The chassis motor encoder interfaces are connected to the control board (connected by default at the factory)

Encoder pin definitions

The correspondence between the encoder interfaces on the MicroROS-V2 control board and the GPIO is as follows:

Encoder interfacePin APin B
M1 encoderGPIO5 (H1A)GPIO4 (H1B)
M2 encoderGPIO7 (H2A)GPIO6 (H2B)

3. Compile and Flash

​x

cd ~/esp/base_samples/encoder
source ~/esp/esp-idf/export.sh
idf.py build flash monitor

After the program starts, it automatically initializes the PCNT counter modules of the two encoders and reads the accumulated pulse counts of the M1 and M2 encoders every 200 ms, outputting them to the serial monitor via logs.

To observe changes in the encoder data, you can run the Motor Driving example (Section 13.9) at the same time to make the motors rotate, and then view the encoder readings.

4. How to Stop

Press Ctrl+] in the terminal to exit the serial monitor.

Experiment Result

After correctly flashing and running the program, the serial monitor outputs the following logs:

xxxxxxxxxx
hello yahboom
I (xxx) MAIN: Nice to meet you!
I (xxx) Encoder: Init pcnt driver to decode
I (xxx) MAIN: Encoder:0, 0
I (xxx) MAIN: Encoder:0, 0
...

When the motors are stationary, the encoder values are 0.

If you rotate the motor wheels manually or run the Motor Driving example at the same time, the encoder values will change with the rotation:

xxxxxxxxxx
I (xxx) MAIN: Encoder:156, -142
I (xxx) MAIN: Encoder:312, -285
I (xxx) MAIN: Encoder:468, -428
  • Forward rotation increases the count (positive values)

  • Reverse rotation decreases the count (negative values)

  • The signs of the M1 and M2 values are opposite because the two motors are mounted in a mirror configuration (consistent with the PWM_MOTOR_LOGIC_SIGN logic direction in the motor driver)

Code Explanation

Source code paths:

  • Firmware source code: ~/esp/base_samples/encoder/main/main.c

  • Encoder driver: ~/esp/base_samples/encoder/components/encoder/encoder.h, encoder.c

1. Project Structure

xxxxxxxxxx
encoder/
├── CMakeLists.txt                  # Top-level CMake project file
├── main/
│   ├── CMakeLists.txt              # main component build configuration
│   └── main.c                      # Main program entry
└── components/
    └── encoder/
        ├── CMakeLists.txt          # Component configuration (depends on driver)
        ├── encoder.c               # Encoder driver implementation
        └── encoder.h               # Encoder driver interface declarations

2. Main Program Logic

The execution flow of app_main in main.c:

  1. Print the startup information

  2. Call Encoder_Init() to initialize the two encoders

  3. Delay 1 second to allow the encoders to stabilize

  4. Enter the main loop, calling Encoder_Get_Count_M1() and Encoder_Get_Count_M2() every 200 ms to get the encoder pulse counts and print them

3. Key Components

Encoder Driver (encoder.h / encoder.c)

Pin and PCNT parameter definitions:

Parameter definition file: ~/esp/base_samples/encoder/components/encoder/encoder.h

xxxxxxxxxx
#define ENCODER_GPIO_H1A            5       // M1 encoder phase A
#define ENCODER_GPIO_H1B            4       // M1 encoder phase B

#define ENCODER_GPIO_H2A            7       // M2 encoder phase A
#define ENCODER_GPIO_H2B            6       // M2 encoder phase B

#define ENCODER_PCNT_HIGH_LIMIT     1000    // PCNT upper count limit
#define ENCODER_PCNT_LOW_LIMIT      -1000   // PCNT lower count limit

Encoder ID enumeration:

xxxxxxxxxx
typedef enum _encoder_id {
    ENCODER_ID_M1 = 1,    // M1 encoder
    ENCODER_ID_M2 = 2,    // M2 encoder
} encoder_id;

PCNT initialization — quadrature decoding principle:

Quadrature decoding of the encoder requires two signals (phase A and phase B), which differ in phase by 90 degrees. By judging the phase relationship between A/B, the PCNT peripheral can simultaneously detect the rotation direction and the pulse count:

  • Phase A leads phase B → forward rotation → the count increases

  • Phase B leads phase A → reverse rotation → the count decreases

Encoder initialization (Encoder_M1_Init / Encoder_M2_Init):

Taking M1 as an example, the PCNT configuration flow is as follows:

  1. Create the PCNT unit:

    xxxxxxxxxx
    pcnt_unit_config_t unit_config = {
        .high_limit = ENCODER_PCNT_HIGH_LIMIT,    // Upper limit 1000
        .low_limit = ENCODER_PCNT_LOW_LIMIT,      // Lower limit -1000
        .flags.accum_count = true,                // Enable accumulate count mode
    };
    pcnt_new_unit(&unit_config, &pcnt_unit);
  2. Configure the glitch filter (filters out high-frequency interference):

    xxxxxxxxxx
    pcnt_glitch_filter_config_t filter_config = {
        .max_glitch_ns = 1000,  // Filter out glitches narrower than 1000ns
    };
    pcnt_unit_set_glitch_filter(pcnt_unit, &filter_config);
  3. Configure channel A (phase A as the edge signal, phase B as the level signal):

    xxxxxxxxxx
    pcnt_chan_config_t chan_a_config = {
        .edge_gpio_num = ENCODER_GPIO_H1A,    // Edge input: GPIO5
        .level_gpio_num = ENCODER_GPIO_H1B,   // Level input: GPIO4
    };
  4. Configure channel B (phase B as the edge signal, phase A as the level signal):

    xxxxxxxxxx
    pcnt_chan_config_t chan_b_config = {
        .edge_gpio_num = ENCODER_GPIO_H1B,    // Edge input: GPIO4
        .level_gpio_num = ENCODER_GPIO_H1A,   // Level input: GPIO5
    };
  5. Set the edge and level actions (the core of quadrature decoding):

    The edge and level action configuration for channel A:

    xxxxxxxxxx
    pcnt_channel_set_edge_action(chan_a, PCNT_CHANNEL_EDGE_ACTION_DECREASE, PCNT_CHANNEL_EDGE_ACTION_INCREASE);
    pcnt_channel_set_level_action(chan_a, PCNT_CHANNEL_LEVEL_ACTION_KEEP, PCNT_CHANNEL_LEVEL_ACTION_INVERSE);
    • When the level (phase B) is low: the rising edge of phase A decrements the count, and the falling edge increments it

    • When the level (phase B) is high: the increment/decrement direction is inverted (PCNT_CHANNEL_LEVEL_ACTION_INVERSE)

    The edge and level action configuration for channel B:

    xxxxxxxxxx
    pcnt_channel_set_edge_action(chan_b, PCNT_CHANNEL_EDGE_ACTION_INCREASE, PCNT_CHANNEL_EDGE_ACTION_DECREASE);
    pcnt_channel_set_level_action(chan_b, PCNT_CHANNEL_LEVEL_ACTION_KEEP, PCNT_CHANNEL_LEVEL_ACTION_INVERSE);
  6. Add watch points so that the count automatically resets and accumulates when it exceeds the limits:

    xxxxxxxxxx
    pcnt_unit_add_watch_point(pcnt_unit, ENCODER_PCNT_HIGH_LIMIT);
    pcnt_unit_add_watch_point(pcnt_unit, ENCODER_PCNT_LOW_LIMIT);
  7. Enable and start the PCNT:

    xxxxxxxxxx
    pcnt_unit_enable(pcnt_unit);
    pcnt_unit_clear_count(pcnt_unit);    // Clear the count value
    pcnt_unit_start(pcnt_unit);

Reading the encoder count (Encoder_Get_Count_M1 / Encoder_Get_Count_M2):

xxxxxxxxxx
int Encoder_Get_Count_M1(void)
{
    static int count_m1 = 0;
    pcnt_unit_get_count(encoder_unit_m1, &count_m1);
    return count_m1;
}
  • Get the current count value of the PCNT unit via pcnt_unit_get_count

  • The count increases during forward rotation and decreases during reverse rotation

  • Since accum_count mode is enabled, the count automatically resets and accumulates when crossing the upper/lower limits

API functions:

FunctionDescription
void Encoder_Init(void)Initialize the PCNT modules of the two motor encoders
int Encoder_Get_Count_M1(void)Get the accumulated pulse count of the M1 motor encoder
int Encoder_Get_Count_M2(void)Get the accumulated pulse count of the M2 motor encoder
int Encoder_Get_Count(uint8_t encoder_id)Get the corresponding pulse count according to the encoder ID

Common Problems

ProblemCauseSolution
The encoder value is always 0Poor encoder wiring or the motors are not rotatingCheck whether the encoder interface is plugged in firmly; rotate the wheels manually to observe the value changes
Abnormal jumps in the encoder valueGlitch interference or poor wiring contactCheck the encoder wiring, or try increasing the max_glitch_ns value of the glitch filter
The signs/directions of M1 and M2 encoders are oppositeThis is normal (mirrored mounting)The two motors are mounted in opposite directions on the chassis; apply the corresponding positive/negative mapping when reading the encoder signs
The encoder value stops changing after reaching ±1000The accumulate count reaches the PCNT upper/lower limitsWatch points have been added and accum_count mode enabled in the program, so the count should continue accumulating automatically after reaching the limits. If the problem persists, increase ENCODER_PCNT_HIGH_LIMIT and ENCODER_PCNT_LOW_LIMIT
Drive Motors
Pid Motor Speed Control

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