Youtor
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=7dUVdrs1e18
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 • Get a free MATLAB Trial: https://goo.gl/ZHFb5u • Learn more about MATLAB: https://goo.gl/8QV7ZZ • Learn more about Simulink: https://goo.gl/nqnbLe • See What's new in MATLAB and Simulink: https://goo.gl/pgGtod • © 2018 The MathWorks, Inc. MATLAB and Simulink are registered • trademarks of The MathWorks, Inc. • See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
#############################
