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Proportional term

As explained in Optimization Algorithms: AI techniques for design, planning, and control problems

A proportional term is a controller component whose output is proportional to the current error.

A proportional term is the PID component whose control output scales with the current error: u(t) includes Kp e(t). If room temperature differs from its desired value, this term produces a corrective heater signal aimed at reducing the difference. section 8.7

Within PID control, the terms respond to different properties of error:

  • The proportional term responds to the present error. section 8.7
  • The integral term responds to error magnitude over time. section 8.7
  • The derivative term responds to the rate at which error changes. section 8.7

Room-temperature control

A closed-loop controller compares the desired temperature with feedback from the room. The proportional component uses that difference to produce a heater control signal. Increasing Kp decreases rise time and steady-state error, but increases overshoot; settling time changes only slightly. section 8.7

Figure 8.17 PID-based closed-loop control system—the PID controller takes the error signal and produces a control signal to reduce the error to zero.

Trace the error signal from the desired state and feedback signal to the corrective control output. section 8.7

How Optimization Algorithms: AI techniques for design, planning, and control problems covers it

How deep it goes
Defines proportional action, contrasts it with integral and derivative action, and gives Kp response trade-offs without deriving controller internals.
Examples
Uses room-temperature control, a heater, desired and measured temperatures, and step-response metrics.
What it assumes
Assumes desired states, measured feedback, and error as their difference.
What you can do after
Evaluate how changing Kp affects rise time, overshoot, settling time, and steady-state error.
How it connects
Connects proportional action to PID controllers, feedback, error signals, integral terms, derivative terms, and step-response measures.

This explainer was generated by Manning's knowledge graph from the text of Optimization Algorithms: AI techniques for design, planning, and control problems. The section links point to the parts of the book it draws on.