siddhant

Knowledge / Automation & Control Systems

PID Control

Proportional, integral, and derivative feedback control used across industrial systems.

By Siddhant Krishna · Published 2026-10-06 · Updated 2026-10-06

01

PID Equation

u(t) = K_p e(t) + K_i ∫e(t)dt + K_d de(t)/dt

The proportional term responds to present error, the integral term accumulates historical error, and the derivative term responds to the rate of change.

02

Practical Problems

  • Integral windup can occur when actuators saturate while the integral term continues accumulating.
  • Derivative action can amplify measurement noise.
  • Sampling and computational delay affect digital implementations.
  • Actuator limits constrain achievable control performance.
  • Poor tuning can cause sluggishness, oscillation, or excessive control effort.

03

Advanced PID Architectures

  • Cascade control uses nested loops.
  • Feedforward compensates for measurable disturbances.
  • Gain scheduling changes parameters according to operating conditions.
  • Anti-windup prevents excessive integral accumulation.
  • Derivative filtering reduces sensitivity to high-frequency measurement noise.

References

  1. Åström & Murray, Feedback Systems: An Introduction for Scientists and Engineers.
    https://fbsbook.org/
  2. Katsuhiko Ogata, modern control theory and engineering methodology.
    https://www.pearson.com/en-us/subject-catalog/p/modern-control-engineering/P200000003542
  3. IFAC, international scientific and professional federation concerned with automatic control theory and applications.
    https://ifac-control.org/

Related

Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.