Adaptive Control
Adaptive control is a type of control system in which the control parameters are adjusted in real time based on the behavior of the system being controlled.
Examples:
- Aerospace: adaptive control for aircraft and missiles. depending on aircraft’s dynamics, such as changes in airspeed or altitude, and adjust the control surfaces accordingly to maintain stability and control
- Automotive: Adaptive Cruise Control
- Industrial control: adaptive control can be used to control the temperature of a furnace or the speed of a motor. The control system can monitor the temperature or speed and adjust the control inputs
- Robotics: Adaptive control can be used for robot arms, for example, to adapt to changes in the robot’s load or environment, and maintain stability and precision in its movements.
Adaptive PID Control would be changing the PID gains in real-time. Traditional PID don’t change those parameters.
PID asked to GPT
I asked: “if you fix the PID values, you are still adapting based on the output, because it’s a loop, therefore isn’t it adaptive control?” You are correct that in a sense, a non-adaptive PID controller can be considered a form of adaptive control in that it continuously adapts its control inputs based on the system’s output.
However, the key difference between a non-adaptive PID controller and an adaptive controller is that, in the case of a non-adaptive PID controller, the control parameters are not updated during operation, whereas in an adaptive controller, the control parameters are updated in real-time based on the system’s behavior. This allows an adaptive controller to automatically adapt to changes in the system’s dynamics and improve the performance of the control system, while a non-adaptive PID controller uses fixed control parameters that may not be optimal for the current operating conditions.