Project 10: Stepper Motor Sequencer
Drive a stepper motor with full-step and half-step sequences.
Quick Reference
| Attribute | Value |
|---|---|
| Difficulty | Level 2: Intermediate |
| Time Estimate | 8-12 hours |
| Main Programming Language | Python (Alternatives: C) |
| Alternative Programming Languages | C |
| Coolness Level | Level 3: Genuinely Clever |
| Business Potential | 4. The “Open Core” Infrastructure |
| Prerequisites | Motor basics, driver boards |
| Key Topics | state machines, step sequences, torque vs speed |
1. Learning Objectives
By completing this project, you will:
- Explain the core question: How can you control motion without feedback sensors?
- Implement the full hardware read/write path with correct configuration.
- Handle at least two failure modes with clear error messages.
- Validate output against a deterministic demo.
2. All Theory Needed (Per-Concept Breakdown)
Stepper Sequencing and State Machines
Fundamentals Stepper motors move in discrete steps by energizing coils in a sequence. It is not enough to know the high-level description; you must understand the exact sequence of configuration steps, the expected signals, and the hardware limits. GPIO outputs through a driver board is only reliable when you respect step timing, torque limits, and coil current. The goal is to build a mental model that connects software intent to physical reality, so you can reason about failures and verify results with measurements. You should be able to explain what each signal means, which register or API controls it, and how the device responds to configuration changes.
In embedded work, this conceptual clarity is the difference between trial-and-error and engineering. If you can predict how the system should behave, you can diagnose why it doesn’t. That is why this fundamentals section emphasizes not just definitions, but the sequence of actions and the reasons behind them.
Deep Dive into the concept Configuration comes first. Define full-step and half-step sequences and choose a safe step delay. In practice, you should start with conservative settings and validate each step before moving on. A wrong mode, wrong address, or wrong pin function often produces silent failures. This project forces you to verify the interface at the protocol level—reading an ID register, observing a waveform, or confirming a response—before trusting higher-level logic.
The next layer is the protocol or signaling format itself. With GPIO outputs through a driver board, every byte, pulse, or edge has meaning. You should be able to map software commands to the on-the-wire representation and back again. That means understanding register maps, frame formats, or pulse widths, and knowing which values are valid or reserved. When you can describe the precise shape of the data, you can validate correctness with a logic analyzer or raw byte logs.
Timing is the second pillar. Too-fast stepping causes missed steps; add acceleration ramps. Linux is not a real-time OS, so you must decide whether user-space timing is sufficient or whether hardware support is required. When you need deterministic behavior, you should use hardware peripherals or kernel-space timing. This project includes a deterministic golden demo so you can measure timing and compare against expectations.
Electrical constraints are unavoidable. Use ULN2003 or similar driver and external supply; share ground. These are not theoretical concerns; violating voltage or current limits can damage the board or produce unreliable signals. This project explicitly integrates safe wiring patterns, such as level shifting, driver boards, or separate power rails, and requires you to document them in your lab notes.
Reliability depends on error handling. Plan for NACKs, framing errors, timeouts, noisy inputs, or disconnected devices. A robust system retries, backs off, and logs clear diagnostic information so failures can be reproduced. In this project, you will implement explicit timeouts and sanity checks so that errors become visible events, not silent data corruption.
Debugging and validation complete the loop. Mark the shaft and count steps per revolution to verify sequences. The goal is to correlate what your code thinks is happening with what the hardware is actually doing. If you can see the waveform, log the raw bytes, and reproduce the golden demo, you can trust your system. If you cannot, you must adjust your assumptions and re-check each layer.
A deeper look at Stepper Motor Sequencer starts with sequencing. Even simple hardware interactions require a strict order: configure the interface, validate the device, perform the transaction, and only then interpret results. The key topics here ({key_topics}) each have parameters that must be chosen deliberately, such as bus speed, pin mode, edge polarity, or timing period. When these are wrong, failures can look random. The discipline is to set conservative defaults, verify each step with a minimal test (like reading a device ID or toggling a pin), and then increase complexity gradually. This mirrors real-world bring-up procedures on embedded boards, where one wrong assumption can waste hours.
Failure modes deserve special attention. Wiring errors, missing pull-ups, incorrect voltage levels, and pinmux conflicts are more common than software bugs. At the protocol layer, you may see NACKs, framing errors, or corrupted samples caused by wrong timing. At the OS layer, permission errors, device file contention, or missing overlays can block access to the hardware. A robust implementation anticipates these failures: it checks return codes, times out cleanly, and reports exactly what went wrong. In production systems, these checks are the difference between an intermittent field failure and a diagnosable incident.
How this fits on projects This concept is the foundation for this project and determines whether your implementation is reliable or fragile.
Definitions & key terms
- Full-step: Two coils energized
- Half-step: Alternate single/double coils
- Step rate: Steps per second
Mental model diagram
State machine -> coil pattern -> rotor step
How it works (step-by-step)
- Define sequence table
- Output pattern
- Delay
- Advance index
Minimal concrete example
seq=[0b1000,0b1100,0b0100,0b0110,...];
Common misconceptions
- Steppers never miss steps
- GPIO can drive coils directly
Check-your-understanding questions
- Why does torque drop at high speed?
- Why use a driver board?
Check-your-understanding answers
- Rotor can’t align fast enough.
- GPIO cannot supply coil current.
Real-world applications
- 3D printers
- CNC machines
Where you’ll apply it
- See §5.4 and §5.10
- Also used in: P16-industrial-iot-brain.md
References
- Stepper motor datasheets
- ULN2003 datasheet
Key insights Stepper control is a timing-sensitive state machine with mechanical limits.
Summary Correct sequencing and safe timing prevent missed steps and lost position.
Homework/Exercises to practice the concept
- Implement acceleration ramp.
Solutions to the homework/exercises
- Decrease delay gradually at start and increase at end.
3. Project Specification
3.1 What You Will Build
Drive stepper with sequence table.
3.2 Functional Requirements
- Implement the primary hardware interaction
- Provide CLI configuration
- Log raw data and converted output
- Handle error conditions
3.3 Non-Functional Requirements
- Performance: Meets timing or throughput expectations for the device.
- Reliability: Handles timeouts, disconnects, or missing devices safely.
- Usability: Clear CLI flags and readable logs.
3.4 Example Usage / Output
python stepper.py --steps 512 --mode half
3.5 Data Formats / Schemas / Protocols
Step counts and direction logs.
3.6 Edge Cases
- Too fast -> missed steps
- Wrong sequence
- No driver board
3.7 Real World Outcome
Motor rotates predictable angle per step count.
3.7.1 How to Run (Copy/Paste)
cd project-root
make
python stepper.py --steps 512 --mode half
3.7.2 Golden Path Demo (Deterministic)
Run python stepper.py --steps 512 --mode half with default wiring and verify output matches expected physical behavior.
3.7.3 If CLI: exact terminal transcript
$$ python stepper.py --steps 512 --mode half
[INFO] steps=512
$$ echo $$?
0
Failure Demo (Deterministic)
$$ python stepper.py --steps -1
[ERROR] Invalid step count
$$ echo $$?
2
4. Solution Architecture
4.1 High-Level Design
Input -> Interface -> Logic -> Output
4.2 Key Components
| Component | Responsibility | Key Decisions | |———–|—————-|—————| | Interface layer | Configure and transact | Use correct mode/speed | | Parser/Logic | Interpret data | Validate ranges | | Output | Logs/actuation | Deterministic output |
4.3 Data Structures (No Full Code)
struct Config { int mode; int rate; int pin; };
4.4 Algorithm Overview
Key Algorithm: Control/Read Loop
- Configure interface.
- Perform transaction.
- Validate output.
- Log or actuate.
Complexity Analysis: O(n) iterations.
5. Implementation Guide
5.1 Development Environment Setup
sudo apt-get update
sudo apt-get install -y build-essential
5.2 Project Structure
project-root/
├── src/
│ └── main.c
├── Makefile
└── README.md
5.3 The Core Question You’re Answering
“How can you control motion without feedback sensors?”
5.4 Concepts You Must Understand First
- Electrical limits
- Interface configuration
- Timing constraints
5.5 Questions to Guide Your Design
- How will you verify the hardware response?
- What timeout is safe?
- What is your retry strategy?
5.6 Thinking Exercise
Map each software step to a physical signal transition or bus event.
5.7 The Interview Questions They’ll Ask
- Explain the key interface parameters.
- What failure modes did you handle?
- How did you verify timing?
5.8 Hints in Layers
Hint 1: Start with default bus speeds. Hint 2: Log raw bytes before parsing. Hint 3: Use a logic analyzer.
5.9 Books That Will Help
| Topic | Book | Chapter | |——-|——|———| | Motor control basics | Making Embedded Systems | Ch. 2 | | Timing and state machines | Making Embedded Systems | Ch. 6 |
5.10 Implementation Phases
Phase 1: Bring-up (3 hours)
Goals: Verify device presence. Checkpoint: First successful transaction.
Phase 2: Core loop (4-6 hours)
Goals: Stable operation. Checkpoint: Deterministic output.
Phase 3: Robustness (2-4 hours)
Goals: Error handling. Checkpoint: Clear logs and exit codes.
5.11 Key Implementation Decisions
| Decision | Options | Recommendation | Rationale | |———-|———|—————-|———–| | Interface mode | default, custom | default | Minimize variables | | Logging | stdout, file | stdout | Simpler debugging |
6. Testing Strategy
6.1 Test Categories
| Category | Purpose | Examples | |———-|———|———-| | Unit | Config parsing | CLI flags | | Integration | Hardware IO | On Pi | | Edge | Missing device | Error path |
6.2 Critical Test Cases
- Golden path success
- Bad argument -> exit 2
- Device missing -> clear error
6.3 Test Data
Default config; invalid flag
7. Common Pitfalls & Debugging
7.1 Frequent Mistakes
| Pitfall | Symptom | Solution | |———|———|———-| | Wrong wiring | No response | Re-check pinout | | Wrong mode | Garbage data | Verify settings | | No timeouts | Hangs | Add timeout |
7.2 Debugging Strategies
- Use dmesg for kernel errors
- Log raw data
7.3 Performance Traps
Excessive logging or busy loops can distort timing.
8. Extensions & Challenges
8.1 Beginner Extensions
- Add a status LED
- Add config file support
8.2 Intermediate Extensions
- Add retry and backoff
- Add CSV/JSON output
8.3 Advanced Extensions
- Hardware timestamps
- Kernel driver variant
9. Real-World Connections
9.1 Industry Applications
- Prototyping
- Diagnostics
9.2 Related Open Source Projects
- libgpiod
- spidev
- mosquitto
9.3 Interview Relevance
- Demonstrates interface and timing knowledge
10. Resources
10.1 Essential Reading
- Raspberry Pi docs
- Device datasheet
10.2 Video Resources
- Interface tutorials
10.3 Tools & Documentation
- i2c-tools, spidev, libgpiod
10.4 Related Projects in This Series
- P01-sysfs-legacy-blink.md
- P02-register-blink-mmio.md
11. Self-Assessment Checklist
11.1 Understanding
- I can explain the interface parameters
- I can reason about timing limits
11.2 Implementation
- Hardware responds consistently
- Errors handled
11.3 Growth
- I can integrate this into larger systems
12. Submission / Completion Criteria
Minimum Viable Completion:
- Basic hardware interaction works
- Deterministic demo runs
Full Completion:
- Error handling and logs
- Documentation updated
Excellence (Going Above & Beyond):
- Performance measurements
- Extended features