Understanding PID Control, Part 6: Manual and Automatic Tuning Methods

The previous video showed three different approaches to developing a mathematical model of your physical system. - Download Code Examples to Learn How to Automatically Tune PID Controller Gainshttps: http://bit.ly/2HKBh12 Now that we have this model, we can use it to tune a PID controller that will work to control the physical system. PID tuning can be thought of in two ways: Adjusting the three path gains (Kp, Ki, and Kd), or placing two moveable zeros and adjusting the loop gain to get the desired response. This video shows how thinking of PID tuning using moveable zeros allows you to approach the problem with loop shaping and pole placement methods. These methods provide a more systematic approach over the brute force method of guessing gain values and checking the response. In addition to manually tuning a controller, this video introduces how automatic tuning can be a way to quickly get a controller design to meet the system requirements. Control System Design with the Control System Designer App: http://bit.ly/2KuAnr9 Designing PID Controllers with PID Tuner: http://bit.ly/2L8tnkd Embedded PID Autotuner – Simulink Example: http://bit.ly/2Lc1307 Design Compensator Using Automated PID Tuning and Graphical Bode Design: http://bit.ly/2LesAhP To learn more about PID tuning with MATLAB and Simulink visit: http://bit.ly/2KEQ9yZ To learn more about root locus design, visit: http://bit.ly/2Lbnoed To learn more about loop shaping with Bode plot, visit: http://bit.ly/2L8IXfD