Abstract
A new fuzzy gain scheduling technique is proposed that involves implementing several linear controllers over a partitioned process space. A higher-level rule-based controller determines which local controller is executed. Unlike conventional gain scheduling, a controller with fuzzy gain scheduling uses fuzzy logic to dynamically interpolate controller parameters around region boundaries based on known local controller parameters. The tuning of the controller is band on local models and thus overcomes the usual problem of tuning the fuzzy logic controller. Simulation of various gain-scheduled PID controllers for a nonlinear plant demonstrate that controllers with fuzzy schedules out-perform those with conventional schedules and are comparable to adaptively-tuned PID controllers. Based on the analysis of some tuning rules and other rules of thumb, new fuzzy gain scheduling rule are formulated that enhance the performance of PID controllers.
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.
