PID controller 2026-10-14
An ideal PID controller combines proportional control, integral action, and a term proportional to the derivative of the tracking error. With , it gives proportional-integral control. The integral stores past error, while the derivative responds to its current rate of change. Practical implementations must account for measurement noise, which an ideal differentiator can amplify. [ref].
Proportional-integral control is the proportional and integral part of a PID controller, with the derivative term omitted. Proportional-integral control combines proportional control with integral action. For the ideal controlled plant, a constant reference signal, exact measurement and a constant control disturbance, the ordinary differential equations give
The characteristic polynomial is . Positive and imply asymptotic stability of the equilibrium point: real roots of a polynomial have negative sum and positive product, hence are both negative; a nonreal complex conjugate pair has real part . This is a short stability check for this ideal controlled plant, rather than a rule for every dynamical system.
At the equilibrium point, , , and . For and , the stored value supplies even though the tracking error is zero. This separates the eventual accuracy from the transient response: integral action cancels the lasting offset but can make the plant output pass beyond the goal. The authors discuss practical limits on integral action in Åström and Murray, Feedback Systems, Chapter 11.
For , , and , the characteristic polynomial is . The initial conditions are and , giving
The tracking error changes sign at . Since , the largest plant output occurs at and is , about above the reference signal.
For a separate comparison, start the control disturbance at . For , write . The exact responses are
The proportional control response tends to , while the proportional-integral control response returns to . At , the values are approximately and . The added term in the proportional-integral control response eventually vanishes, exposing how memory removes a constant control disturbance's lasting effect.
Figure 1.
Proportional control and integral action: arrival and disturbance rejection
. Left: the ideal controlled plant has reference signal and no control disturbance; proportional-integral control reaches a peak at . Right: a control disturbance begins at ; proportional control settles at , while proportional-integral control returns to . The generator uses the classical fourth-order Runge-Kutta method with step , splits the computation at , and checks both full responses and the stored memory against their exact formulas. All coordinates are dimensionless quantities. Details.