If you want to have a accurate PID coefficient:

• Get your statistic actuator data (i.e. collecting input voltages + encoder pulses in a const frequently (0.01sec) time for 20secs as a 3x2000 matrix)
• Get transfer function (TF) of your actuator (using Ident toolbox in MATLAB).
• Finally, use PIDTool toolbox in MATLAB and upload your transform function.

Or in a quick and simple manner:

There is a quicker approach called Ziegler–Nichols:

And in this image demonstrate PID parameters effects:

If you want to have an accurate PID coefficient:

• Get your statistic actuator data (i.e. collecting input voltages + encoder pulses in a const frequent (0.01sec) time for 20secs as a 3x2000 matrix)
• Obtain the transfer function (TF) of your actuator (using Ident toolbox in MATLAB).
• Finally, use PIDTool toolbox in MATLAB and upload your transform function.

Or in a quick and simple manner:

There is a quicker approach called Ziegler–Nichols:

This image demonstrates the PID parameters effects:

#If you want to have a accurate PID coefficient:

• Get your statistic actuator data (i.e. collecting input voltages + encoder pulses in a const frequently (0.01sec) time for 20secs as a 3x2000 matrix)
• Get transfer function (TF) of your actuator (using Ident toolbox in MATLAB).
• Finally, use PIDTool toolbox in MATLAB and upload your transform function.

#Or in a quick and simple manner:

There is a quicker approach called Ziegler–Nichols:

And in this image demonstrate PID parameters effects:

If you want to have a accurate PID coefficient:

• Get your statistic actuator data (i.e. collecting input voltages + encoder pulses in a const frequently (0.01sec) time for 20secs as a 3x2000 matrix)
• Get transfer function (TF) of your actuator (using Ident toolbox in MATLAB).
• Finally, use PIDTool toolbox in MATLAB and upload your transform function.

Or in a quick and simple manner:

There is a quicker approach called Ziegler–Nichols:

And in this image demonstrate PID parameters effects:

If you want to have PID accurate coefficient:

• get statistic actuator data (i.e. collecting input voltage + encoder pulse in a const frequently (0.01s) for DC-motor)
• get transfer function (TF) of your actuator (using ident toolbox in Matlab).
• using pid_tool toolbox in Matlab and upload your transform function.

Or:

There is a quicker approach called Ziegler–Nichols:

And in this image demonstrate PID parameters effects:

#If you want to have a accurate PID coefficient:

• Get your statistic actuator data (i.e. collecting input voltages + encoder pulses in a const frequently (0.01sec) time for 20secs as a 3x2000 matrix)
• Get transfer function (TF) of your actuator (using Ident toolbox in MATLAB).
• Finally, use PIDTool toolbox in MATLAB and upload your transform function.

#Or in a quick and simple manner:

There is a quicker approach called Ziegler–Nichols:

And in this image demonstrate PID parameters effects: