Advanced Topic 43 of 50 Mobile, Embedded & IoT
Control Systems and PID
Feedback loops keeping outputs at targets.
How it works
A control system adjusts inputs to make a process follow a desired setpoint despite disturbances. In feedback control, a sensor measures the output, the error from the setpoint is computed and a controller produces the actuator command. A PID controller combines three terms: proportional, proportional to the current error, integral, which accumulates past error to eliminate steady-state offset, and derivative, which reacts to the rate of change to damp oscillations. Tuning uses methods such as Ziegler-Nichols or manual adjustment, and stability analysis uses transfer functions and poles.
Where it is used
Thermostats, cruise control, motor speed and position control, drones' attitude stabilization and industrial process control use PID loops.
Common pitfall
Poor tuning gives sluggish response, overshoot or oscillation. Integral windup, where the integrator grows during actuator saturation, needs anti-windup. Derivative amplifies noise, so filter it. Delays and nonlinearities limit performance. Sample at a consistent rate, clamp outputs, tune one term at a time and test across operating conditions.
Where it fits in the course
Control Systems and PID is topic 43 of 50 in Mobile, Embedded & IoT, rated Advanced. It follows ROS. The next topic is Kalman Filter.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Mobile, Embedded & IoT quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Mobile, Embedded & IoT quiz, and revisit the topic if you miss a question.
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Related topics
- ROS (Mobile, Embedded & IoT)
- Kalman Filter (Mobile, Embedded & IoT)
- Robotics Fundamentals (Mobile, Embedded & IoT)
- Automotive Software (Mobile, Embedded & IoT)
- Number Systems (Math for Computing)
- Peer-to-Peer Systems (Distributed Systems & Cloud)
- Process Control Block (Operating Systems)