Analyzing large dynamic set-point change tracking of MRAC by exploiting fuzzy logic based automatic gain tuning

TitleAnalyzing large dynamic set-point change tracking of MRAC by exploiting fuzzy logic based automatic gain tuning
Publication TypeConference Proceedings
Year of Conference2012
AuthorsRahul YK, Karthikeyan R, Tripathi S., Hemanth KG
Conference NameControl and System Graduate Research Colloquium (ICSGRC)
Pagination76-81
PublisherIEEE
ISBN Number1467320358
KeywordsDept. of Electronics and communication Engineering.
Abstract

A Model reference adaptive control (MRAC) belongs to the class of adaptive servo system in which the desired performance is expressed with the help of a reference model. MRAC aims to create a closed loop controller with parameters that can change the response of the system to mimic a desired response. However, analysis unravels that there is a tolerance band for the set point change which defines the effectiveness of a particular adaptive gain (γ). Any changes in the set point which is beyond this band calls for a γ-readjustment. We propose a method which aims to overcome this pitfall in conventional MRAC by fusing fuzzy logic to dynamically vary γ. In essence, a fixed γ which fails to stabilize the system response in the advent of a large change in the average value of the set point shall be empowered with fuzzy logic to do the needful. Also, this concept never requires human interference for gain adjustment. A second order Linear Time Invariant system has been considered for all illustration. The results show considerable improvement in performance over the existing conventional MRAC system.