PID control: Unterschied zwischen den Versionen
Aus www.wiki.ardumower.de
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| − | + | File: Pid_controller.png | PID controller | |
| − | + | File: Pid_controller_examples.png| Examples | |
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Examples: | Examples: | ||
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# Motor speed: input sensor is odometry, output plant is the motor. Goal is to keep the error (setpoint rpm - actual rpm) small. | # Motor speed: input sensor is odometry, output plant is the motor. Goal is to keep the error (setpoint rpm - actual rpm) small. | ||
| − | + | Proportional, Integral and Derivative (PID) controller concept: | |
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| − | + | P : Determines how aggressively the PID reacts to the current amount of error (Proportional) | |
| − | + | D : Determines how aggressively the PID reacts to the change in error (Derivative) | |
| + | I : Determines how aggressively the PID reacts to error over time (Integral) | ||
=Velocity PID= | =Velocity PID= | ||
Version vom 29. Mai 2016, 12:11 Uhr
Inhaltsverzeichnis
Abstract
Ardumower uses a digital PID controller for
- heading/course tracking
- perimeter tracking
- motor speed control
- ...
PID controller
PID controller
Examples
Examples:
- Tracking: input sensor is inside/outside, output plant is the left and right motor. Goal is to keep error (inside/outside state time) small.
- Motor speed: input sensor is odometry, output plant is the motor. Goal is to keep the error (setpoint rpm - actual rpm) small.
Proportional, Integral and Derivative (PID) controller concept:
P : Determines how aggressively the PID reacts to the current amount of error (Proportional) D : Determines how aggressively the PID reacts to the change in error (Derivative) I : Determines how aggressively the PID reacts to error over time (Integral)
Velocity PID
The standard form is most used for position control. If you derivate the standard form, you obtain the velocity form:
velocity PID
Simulator
For interactive learning, you can find a PID simulator here: PID simulator
