P
Hello all,
just want to verify that I have an understanding of what each function does. Please correct me if I am wrong.
Proportional Gain: Basically the multiplication factor between input and output. The higher the (kP) the larger the output is compared to the input.
(example: kP = 5: For ever 1% of input change, the output changed by 5%)
Integral (Reset): Ok, I am not to sure about this one. As I understand it, Integral take the difference between the setpoint and error and adds/subtracts it from the output signal to eliminate offset. The higher the (kI), the more resets per minute, the slower the process variable will get to SP, but it gets there under greater control and stability. The lower the number, the faster it will get to the final SP, but the greater the chance for overshoot.
Derivative (Rate): Again, as I understand it, Derivate changes the output signal in proportion to the change of the slope of the process variable. The higher the (kD) the faster it will get to setpoint and stabalize, but it will take longer to stabilize.
I am not sure about the Derivate definition or the Integral definition so any help is greatly appreciated. I have read a lot about them, but would like examples please.
Thank you.
just want to verify that I have an understanding of what each function does. Please correct me if I am wrong.
Proportional Gain: Basically the multiplication factor between input and output. The higher the (kP) the larger the output is compared to the input.
(example: kP = 5: For ever 1% of input change, the output changed by 5%)
Integral (Reset): Ok, I am not to sure about this one. As I understand it, Integral take the difference between the setpoint and error and adds/subtracts it from the output signal to eliminate offset. The higher the (kI), the more resets per minute, the slower the process variable will get to SP, but it gets there under greater control and stability. The lower the number, the faster it will get to the final SP, but the greater the chance for overshoot.
Derivative (Rate): Again, as I understand it, Derivate changes the output signal in proportion to the change of the slope of the process variable. The higher the (kD) the faster it will get to setpoint and stabalize, but it will take longer to stabilize.
I am not sure about the Derivate definition or the Integral definition so any help is greatly appreciated. I have read a lot about them, but would like examples please.
Thank you.