Abstract
A novel expert autotuner for multivariable control applications is proposed. The main idea of the autotuning control methodology is to apply the SISO (single-input-single-output) PID controllers in the MIMO (multi-input-multi-output) environment with appropriate tuning based on the pattern recognition technique. An expert tuning processor is designed to supervise the proportional, integral, derivative (PID) controller to provide good tuning parameters from the observed MIMO response. A customized SISO process identification technique based on pattern recognition is developed for closed loop application. Multivariable tuning is then activated using a detuning factor on the SISO settings. A new technique to identify the relative disturbance gain online is also included to assist the decision on tuning the controller upon natural load disturbances. The time response of the autotuning controller is compared to some tuning methods reported in the literature. >
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
