Understanding PID Control, Part 3: Expanding Beyond a Simple Derivative

This video describes how to make an ideal PID controller more robust when controlling real systems that don’t behave like ideal linear models. - Download Code Examples to Learn How to Automatically Tune PID Controller Gainshttps: http://bit.ly/2HKBh12 Noise is generated by sensors and is present in every system. The derivative in an ideal PID controller amplifies high-frequency noise. Even if that noise is relatively low amplitude, the derivative will sense it and possibly amplify it enough to impact the controller. To protect against high-frequency noise impacting the system, you can modify the derivative path with a low pass filter to reduce the noise before it causes any problems. PID Control with MATLAB and Simulink: http://bit.ly/2Qg57y8 PID Control Made Easy: http://bit.ly/2Q7Hhor PID documentation: http://bit.ly/2Qi4fcE Watch more MATLAB Tech Talks: http://bit.ly/2rTc8Yp Check out more control system lectures on Brian's Channel: http://bit.ly/2IUlvkw