Embedded Motor Control from the Ground Up™
Engineer a closed-loop DC motor-control system using PWM, quadrature encoders, PID control, motion profiles, and fault handling with STM32
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Robotics is becoming an increasingly important destination for embedded firmware.
Factories installed 542,000 industrial robots in 2024, more than twice the number installed ten years earlier, and more than 4.6 million industrial robots are now operating worldwide. Looking ahead, the International Federation of Robotics identifies AI-powered robotics, humanoid robots entering real-world testing, tighter integration between information technology and operational technology, and increased emphasis on robot safety among the major robotics trends shaping 2026.
The shift is already reaching real manufacturing environments. Schaeffler and Humanoid, for example, plan deployments of up to 2,000 humanoid robots across manufacturing sites, alongside a long-term agreement for robotic joint actuators.
For embedded developers, the implication is important.
AI can decide what a machine should do. Something still has to make the machine move.
That means controlling electrical power, producing torque, measuring motion, correcting errors, handling disturbances and stopping safely when something goes wrong.
Embedded Motor Control from the Ground Up teaches you that layer.
You will build and tune a complete closed-loop motor-control system on STM32 while developing the theoretical foundation that many firmware developers never encounter unless they have studied mechatronics, control engineering or a related discipline.
You will start with the physics.
You will learn how electrical energy becomes force, torque and motion; how voltage, current, back-EMF, resistance and inductance shape motor behaviour; and how torque-speed curves, stall current, gearing, friction, inertia and thermal limits determine what a motor-driven system can actually achieve. You will also examine the wider motor landscape so you can place brushed DC, BLDC, PMSM, stepper and other motor technologies within the right engineering context.
Then you will follow the complete path from MCU to motion.
You will understand H-bridges and current paths, forward and reverse drive, coast and braking, inductive current recirculation, shoot-through, protection, grounding and electrical noise. You will study PWM, timer architecture, switching frequency, command saturation, dead zones and slew limiting, then turn those principles into working STM32 firmware.
Next, you will give the firmware feedback from the physical world.
You will learn quadrature encoding from first principles and use STM32 hardware timers to measure direction, position and speed. You will work through resolution, gearbox multiplication, rollover, speed estimation, filtering and measurement integrity until you can distinguish what the software commanded from what the mechanism actually did.
Then you will close the loop.
You will translate control theory into embedded software: setpoints, error, disturbances, fixed-rate execution, proportional and integral control, saturation, anti-windup, tuning, step response and disturbance rejection. From there, you will progress into position control, cascaded loops and controlled motion profiles.
And you will put the theory to work.
Across ten cumulative practical projects, you will progress from safe STM32 and motor-driver bring-up through PWM control, deterministic scheduling, encoder integration and final-motor characterization. You will then build closed-loop speed control, position control and motion profiles before integrating fault detection, safe-state behaviour, controlled recovery and a complete capstone system.
You will work with the NUCLEO-F401RE and X-NUCLEO-IHM13A1 using bare-metal CMSIS and direct register access, so you can see how the timing, peripherals and control architecture actually work.
By the end of the course, you will be able to:
- control motor direction and effort safely through PWM;
- measure speed, direction and position with quadrature feedback;
- characterize a real motor system and establish measured operating limits;
- regulate speed as loads and operating conditions change;
- command controlled position moves with motion profiles;
- recognize stalls, encoder failures and driver faults and move the system into a defined safe state;
- use telemetry and measured evidence to tune and validate the complete system.
But the real value goes deeper than the individual techniques.
You will understand how the pieces connect.
Voltage will connect to speed. Current will connect to torque. Encoder counts will connect to physical motion. Timing will connect to controller mathematics. Friction and inertia will connect to the behaviour you see in firmware.
You will stop treating a motor as another peripheral to configure and start treating motion as a system to engineer.
And that foundation carries forward.
When you progress into BLDC motors, PMSMs, three-phase inverters, current regulation, sensorless control and field-oriented control, you will already understand the motor physics, feedback, timing and closed-loop principles underneath them. The course deliberately builds that foundation before the advanced three-phase techniques.
If you already write embedded firmware and want to expand your capabilities into robotics, automation and real electromechanical systems, this course gives you the foundation to make that move with confidence.
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